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Customize. Optimize.\u003C/strong\u003E Use natural language to deploy a complete route optimization solution in Snowflake - no code, no external APIs, just results.\u003C/p\u003E\n\u003C/blockquote\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EOverview\u003C/h2\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/oss-install-openrouteservice-native-app/intro.png?v=c0b8d2a7\" alt=\"alt text\"\u003E\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003EBuild a complete routing platform in minutes using just natural language commands.\u003C/strong\u003E\u003C/p\u003E\n","\u003Cp\u003EThis solution deploys \u003Ca href=\"https://openrouteservice.org/\"\u003EOpenRouteService\u003C/a\u003E directly in your Snowflake account using \u003Cstrong\u003ESnowflake CoCo\u003C/strong\u003E — Snowflake's AI-powered CLI. It runs as a set of Snowpark Container Services, callable as plain SQL functions. No complex setup, no external APIs, no data leaving Snowflake.\u003C/p\u003E\n","\u003Ch3\u003EWhat You'll Build\u003C/h3\u003E\n","\u003Cp\u003E🔧 \u003Cstrong\u003EOpenrouteservice on SPCS\u003C/strong\u003E - A self-contained routing engine running in Snowpark Container Services with SQL-callable functions.\u003C/p\u003E\n","\u003Cp\u003E📍 \u003Cstrong\u003EFour Powerful Routing Functions:\u003C/strong\u003E\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Cstrong\u003EDirections\u003C/strong\u003E - Calculate optimal routes between multiple waypoints\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EOptimization\u003C/strong\u003E - Match delivery jobs to vehicles based on time windows, capacity, and skills\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EIsochrones\u003C/strong\u003E - Generate catchment polygons showing reachable areas within a given drive time\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003ETime-Distance Matrix\u003C/strong\u003E - Calculate travel time and distance matrices between multiple locations\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003E📐 \u003Cstrong\u003ENative GEOGRAPHY Output\u003C/strong\u003E — \u003Ccode\u003EDIRECTIONS\u003C/code\u003E, \u003Ccode\u003EISOCHRONES\u003C/code\u003E, and \u003Ccode\u003EOPTIMIZATION\u003C/code\u003E return route and polygon geometry as a native Snowflake \u003Ccode\u003EGEOGRAPHY\u003C/code\u003E column directly — ready for geospatial analysis with \u003Ccode\u003EST_LENGTH\u003C/code\u003E, \u003Ccode\u003EST_AREA\u003C/code\u003E, \u003Ccode\u003EST_WITHIN\u003C/code\u003E, and more.\u003C/p\u003E\n","\u003Cp\u003E🗺️ \u003Cstrong\u003EAny Location\u003C/strong\u003E - Customize to Paris, London, New York, or anywhere in the world with downloadable OpenStreetMap data.\u003C/p\u003E\n","\u003Cp\u003E🧪 \u003Cstrong\u003EFunction Tester\u003C/strong\u003E - An interactive web UI (ORS Control App) to test the routing functions with sample addresses.\u003C/p\u003E\n","\u003Ch3\u003EWhy This Matters\u003C/h3\u003E\n\u003Ctable\u003E\u003Cthead\u003E\u003Ctr\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003ETraditional Approach\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EThis Solution\u003C/th\u003E\u003C/tr\u003E\u003C/thead\u003E\u003Ctbody\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EExternal API dependencies\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ESelf-contained SPCS deployment\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EData leaves your environment\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EEverything stays in Snowflake\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EComplex integration work\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EDeploy with natural language commands\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EPay-per-call API limits\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EUnlimited calls, you control compute\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EHours of setup\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EMinutes to deploy\u003C/td\u003E\u003C/tr\u003E\u003C/tbody\u003E\u003C/table\u003E\n","\u003Ch3\u003EPrerequisites\u003C/h3\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003EPlatform note:\u003C/strong\u003E Today, this solution is primarily developed and tested on macOS. Windows users may encounter friction during installation and build steps around container image builds but Snowflake CoCo should be able to resolve it.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003EThis is what you will need\u003C/strong\u003E:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Cstrong\u003EACCOUNTADMIN\u003C/strong\u003E access to your Snowflake account (or a custom role with CREATE DATABASE, CREATE WAREHOUSE, CREATE COMPUTE POOL, and IMPORT SHARE privileges)\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Ca href=\"https://docs.snowflake.com/en/developer-guide/snowpark-container-services/overview\"\u003ESnowpark Container Services Activated\u003C/a\u003E\u003C/p\u003E\n\u003C/li\u003E\u003C/ul\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003E\u003Cem\u003ENOTE:\u003C/em\u003E\u003C/strong\u003E This is enabled by default with the exception of Free Trials where you would need to contact your snowflake representative to activate it.\u003C/p\u003E\n\u003C/blockquote\u003E\n\u003Cul\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Ca href=\"https://docs.snowflake.com/en/sql-reference/sql/create-external-access-integration\"\u003EExternal Access Integration Activated\u003C/a\u003E - Required to download map files from the internet\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Cstrong\u003ESnowflake CoCo CLI\u003C/strong\u003E installed and configured\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EInstallation: See the \u003Ca href=\"https://docs.snowflake.com/en/user-guide/cortex-code/cortex-code\"\u003ESnowflake CoCo documentation\u003C/a\u003E for setup instructions\u003C/li\u003E\u003Cli\u003EAdd to your PATH: \u003Ccode\u003Eexport PATH="$HOME/.local/bin:$PATH"\u003C/code\u003E (add to \u003Ccode\u003E~/.zshrc\u003C/code\u003E or \u003Ccode\u003E~/.bashrc\u003C/code\u003E)\u003C/li\u003E\u003Cli\u003EVerify: \u003Ccode\u003Ecortex --version\u003C/code\u003E\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Cstrong\u003EContainer Runtime\u003C/strong\u003E - One of the following:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Ca href=\"https://podman.io/\"\u003EPodman\u003C/a\u003E (recommended): \u003Ccode\u003Ebrew install podman\u003C/code\u003E (macOS)\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://www.docker.com/products/docker-desktop/\"\u003EDocker Desktop\u003C/a\u003E\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Cstrong\u003ENode.js >= 20\u003C/strong\u003E and npm - Required to build the ORS Control App\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EmacOS: \u003Ccode\u003Ebrew install node\u003C/code\u003E\u003C/li\u003E\u003Cli\u003EVerify: \u003Ccode\u003Enode --version\u003C/code\u003E\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Ca href=\"https://code.visualstudio.com/download\"\u003EVSCode\u003C/a\u003E recommended for running Snowflake CoCo commands\u003C/p\u003E\n\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003ERoute Planning And Optimization Architecture\u003C/h3\u003E\n","\u003Cp\u003EThe architecture below shows the solution which uses Snowpark Container Services to power sophisticated routing and optimisation functions.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/oss-install-openrouteservice-native-app/architecture-diagram.png?v=c0b8d2a7\" alt=\"alt text\"\u003E\u003C/p\u003E\n","\u003Cp\u003EThis is a self-contained service which is managed by you. There are no API calls outside of Snowflake and no API limitations. This solution uses a small high-memory pool (HIGHMEM_X64_S) which is capable of running unlimited service calls within \u003Cstrong\u003ESan Francisco\u003C/strong\u003E (the default map). If you wish to use a larger map such as Europe or the World, you can increase the size of the compute.\u003C/p\u003E\n","\u003Ch3\u003EWhat You'll Learn\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003EDeploy a self-managed routing solution using \u003Cstrong\u003ESnowflake CoCo\u003C/strong\u003E AI-powered CLI with natural language commands\u003C/li\u003E\u003Cli\u003EUse \u003Cstrong\u003ESnowpark Container Services\u003C/strong\u003E to run OpenRouteService as a self-managed routing engine\u003C/li\u003E\u003Cli\u003EUnderstand \u003Cstrong\u003EGeospatial\u003C/strong\u003E data in Snowflake and how it integrates with routing functions\u003C/li\u003E\u003Cli\u003EWork with 4 routing functions deployed as SQL-callable SPCS services:\n\u003Cul\u003E\u003Cli\u003E\u003Cstrong\u003EDirections\u003C/strong\u003E - Simple and multi-waypoint routing based on road network and vehicle profile\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EOptimization\u003C/strong\u003E - Route optimization matching demands with vehicle availability\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EIsochrones\u003C/strong\u003E - Catchment area analysis based on travel time\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003ETime-Distance Matrix\u003C/strong\u003E - Calculate travel time and distance matrices between multiple locations\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003Cli\u003ECall all routing functions directly via \u003Cstrong\u003ESQL\u003C/strong\u003E — including concrete query examples you can run immediately\u003C/li\u003E\u003Cli\u003ECustomize map regions and vehicle profiles for your specific use case\u003C/li\u003E\u003C/ul\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EBuild the Routing Solution\u003C/h2\u003E\n","\u003Cp\u003EUse Snowflake CoCo, Snowflake's AI-powered coding assistant, to deploy the routing solution using natural language commands and automated skills.\u003C/p\u003E\n","\u003Ch3\u003ESetup Snowflake CoCo\u003C/h3\u003E\n\u003Col\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Cstrong\u003EClone the repository\u003C/strong\u003E:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-bash\"\u003Egit clone https://github.com/Snowflake-Labs/sfguide-create-a-route-optimisation-and-vehicle-route-plan-simulator\ncd sfguide-create-a-route-optimisation-and-vehicle-route-plan-simulator\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Cstrong\u003EWithout Git\u003C/strong\u003E: Download the ZIP from the repository and extract it, then navigate to the folder in VS Code\u003C/p\u003E\n","\u003Cp\u003EAfter cloning, open the folder in VS Code. You should see the following structure in your Explorer:\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/oss-install-openrouteservice-native-app/cloned-objects.png?v=c0b8d2a7\" alt=\"Cloned Repository Structure\"\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Cstrong\u003ELaunch Snowflake CoCo CLI\u003C/strong\u003E in the VS Code terminal:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-bash\"\u003Ecortex\n\u003C/code\u003E\u003C/pre\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Cstrong\u003EConnect to Snowflake\u003C/strong\u003E - Snowflake CoCo will prompt you to select or create a connection.  once a connection has ben created using one of the authentication methods, you will now be able to start cortex code in the terminal by using the \u003Cstrong\u003Ecortex\u003C/strong\u003E command which will give you a similar screen as below.\u003C/p\u003E\n\u003C/li\u003E\u003C/ol\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/oss-install-openrouteservice-native-app/co-co-logged-in.png?v=c0b8d2a7\" alt=\"Snowflake CoCo Logged In\"\u003E\u003C/p\u003E\n","\u003Ch3\u003EUnderstanding Snowflake CoCo Skills\u003C/h3\u003E\n","\u003Cp\u003EBefore running any commands, it's helpful to understand what \u003Cstrong\u003Eskills\u003C/strong\u003E are and how they power this solution.\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003EWhat are Skills?\u003C/strong\u003E\u003C/p\u003E\n","\u003Cp\u003ESkills are structured specifications that instruct Snowflake CoCo how to perform a procedure. Think of them as detailed recipes - they define the exact steps, parameters, and verification checks needed to accomplish a task. Each skill is a markdown file that describes:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Cstrong\u003EWhat the skill does\u003C/strong\u003E - A clear description of the outcome\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EStep-by-step instructions\u003C/strong\u003E - The exact sequence of actions to perform\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EStopping points\u003C/strong\u003E - Where to pause for user input or verification\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003ESuccess criteria\u003C/strong\u003E - How to verify the task completed correctly\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003E\u003Cstrong\u003EBenefits of Using Skills\u003C/strong\u003E\u003C/p\u003E\n\u003Ctable\u003E\u003Cthead\u003E\u003Ctr\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EBenefit\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EDescription\u003C/th\u003E\u003C/tr\u003E\u003C/thead\u003E\u003Ctbody\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003EConsistency\u003C/strong\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ESkills ensure the same steps are followed every time, reducing human error\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003EReusability\u003C/strong\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EOnce created, skills can be shared and reused across projects and teams\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003ETransparency\u003C/strong\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EYou can read the skill file to understand exactly what will happen before running it\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003ECustomizability\u003C/strong\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ESkills can be modified to fit your specific requirements\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003EAI-Assisted Creation\u003C/strong\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ESnowflake CoCo can help you create new skills from natural language descriptions\u003C/td\u003E\u003C/tr\u003E\u003C/tbody\u003E\u003C/table\u003E\n","\u003Cp\u003E\u003Cstrong\u003EHow This Solution Uses Skills\u003C/strong\u003E\u003C/p\u003E\n","\u003Cp\u003EThis repository demonstrates how skills can manage the \u003Cstrong\u003Ecomplete lifecycle\u003C/strong\u003E of an end-to-end Snowflake analytical solution - from installation through customization to uninstallation. There are multiple pre-built skills in the \u003Ccode\u003E.cortex/skills/skill_name/SKILL.md\u003C/code\u003E:\u003C/p\u003E\n\u003Ctable\u003E\u003Cthead\u003E\u003Ctr\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EStage\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003ESkill\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EWhat It Does\u003C/th\u003E\u003C/tr\u003E\u003C/thead\u003E\u003Ctbody\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003E✅ Prerequisites\u003C/strong\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Erouting-prerequisites\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ECheck and install all build prerequisites (Docker/Podman, Snowflake CLI, Node.js)\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003E📦 Build\u003C/strong\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Ebuild-routing-solution\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EDeploy the full routing solution: build container images, push to SPCS, run SQL modules\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003E⚙️ Customize\u003C/strong\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Erouting-customization\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EChange the map region, city, or enabled vehicle/routing profiles\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003E🚚 Demo\u003C/strong\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Eroute-optimization\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EDeploy the Route Optimization demo with Marketplace data and notebook\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003E🚕 Demo\u003C/strong\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Efleet-intelligence-taxis\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EGenerate realistic taxi driver location data and deploy fleet intelligence dashboards\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003E🛵 Demo\u003C/strong\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Edeploy-fleet-intelligence-food-delivery\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EDeploy the Food Delivery fleet intelligence solution with a React Native app and Streamlit dashboard\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003E🏪 Demo\u003C/strong\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Eretail-catchment\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EDeploy the Retail Catchment Analysis demo using Overture Maps and isochrone analysis\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003E📍 Demo\u003C/strong\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Eroute-deviation\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EDeploy the Route Deviation Analysis demo with ETL pipeline and React dashboard\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003E⏱️ Demo\u003C/strong\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Edwell-analysis\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EDeploy the Dwell & Congestion Analysis pipeline with Dynamic Tables and H3 heatmaps\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003E🤖 Demo\u003C/strong\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Erouting-agent\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ECreate a Snowflake CoWork (Cortex) agent for natural language routing queries\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003E🗑️ Cleanup\u003C/strong\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Erouting-solution-cleanup\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EDiscover and drop all Snowflake objects created by this solution\u003C/td\u003E\u003C/tr\u003E\u003C/tbody\u003E\u003C/table\u003E\n","\u003Cp\u003ETo run any skill, simply tell Snowflake CoCo:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003E$<skill-name>\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003ESnowflake CoCo reads the skill's markdown file and executes each step, asking for input when needed and verifying success before moving on.\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003E\u003Cem\u003ETIP:\u003C/em\u003E\u003C/strong\u003E Want to see what a skill does before running it? Open the skill's \u003Ccode\u003E.md\u003C/code\u003E file in the \u003Ccode\u003E.cortex/skills/skill_name/\u003C/code\u003E folder to review the exact steps.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Ch3\u003EVerify Prerequisites (Optional)\u003C/h3\u003E\n","\u003Cp\u003ERun the prerequisites check skill to ensure all dependencies are installed:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003E$routing-prerequisites\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003EBuild the Routing Solution\u003C/h3\u003E\n","\u003Cp\u003ETo deploy the plain-vanilla app execute command below in Snowflake CoCo:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003E$build-routing-solution\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EIf you are also interested in deploying the demos you can type:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003E$build-routing-solution and deploy all available demoes\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EYou can also choose to only deploy specific demoes, just specify them using natural language.\u003C/p\u003E\n","\u003Cp\u003ESnowflake CoCo will automatically:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003ECreate the required databases (\u003Ccode\u003EOPENROUTESERVICE_APP\u003C/code\u003E, \u003Ccode\u003ESYNTHETIC_DATASETS\u003C/code\u003E, \u003Ccode\u003EFLEET_INTELLIGENCE\u003C/code\u003E), stages, and image repository\u003C/li\u003E\u003Cli\u003EUpload configuration files and service specs\u003C/li\u003E\u003Cli\u003EDetect your container runtime (Docker or Podman)\u003C/li\u003E\u003Cli\u003EBuild and push all 5 container images\u003C/li\u003E\u003Cli\u003ERun 6 SQL modules to deploy the routing services\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003EThe skill will guide you through any required steps, including:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003ESelecting your preferred container runtime if both are available\u003C/li\u003E\u003Cli\u003EAuthenticating with the Snowflake image registry\u003C/li\u003E\u003Cli\u003EMonitoring the build progress\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003EThe skill uses interactive prompting to gather required information.\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003EWhat gets installed:\u003C/strong\u003E\u003C/p\u003E\n\u003Ctable\u003E\u003Cthead\u003E\u003Ctr\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EComponent\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EName\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EDescription\u003C/th\u003E\u003C/tr\u003E\u003C/thead\u003E\u003Ctbody\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EDatabase\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EOPENROUTESERVICE_APP\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EMain database with stages, functions, and SPCS services\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EDatabase\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003ESYNTHETIC_DATASETS\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ESeed telemetry and trip data for demos\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EDatabase\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EFLEET_INTELLIGENCE\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EFleet demo configuration and region registry\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EWarehouse\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EROUTING_ANALYTICS\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EWarehouse for ORS operations\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EStage\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EORS_SPCS_STAGE\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EConfiguration files, map data, and service specs\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EStage\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EORS_GRAPHS_SPCS_STAGE\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EGenerated routing graphs\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EStage\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EORS_ELEVATION_CACHE_SPCS_STAGE\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EElevation data cache\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EImage Repository\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EIMAGE_REPOSITORY\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E5 container images for SPCS services\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ESPCS Service\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EORS_SERVICE\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EOpenRouteService routing engine\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ESPCS Service\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EDOWNLOADER\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EDownloads OSM map data on demand\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ESPCS Service\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EVROOM_SERVICE\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EVehicle Route Problem optimizer\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ESPCS Service\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EROUTING_GATEWAY_SERVICE\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EReverse proxy / concurrency layer\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ESPCS Service\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EORS_CONTROL_APP\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EReact-based web UI (service manager, function tester, city provisioning)\u003C/td\u003E\u003C/tr\u003E\u003C/tbody\u003E\u003C/table\u003E\n","\u003Cp\u003ESimply confirm each prompt as the skill progresses. The skill handles all the complex setup automatically — creating databases, uploading files, building containers, and deploying all 5 services.\u003C/p\u003E\n","\u003Cp\u003EThe skill also:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003ELoads seed datasets (500 intro routes, 472K telemetry points, 29K travel-time matrix pairs, 460 region catalog entries)\u003C/li\u003E\u003Cli\u003EInstalls Overture Maps datasets from Snowflake Marketplace (required for taxi and retail demos)\u003C/li\u003E\u003Cli\u003ELets you select which demo skills to deploy on top of the base installation\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003EOnce complete, the skill prints the ORS Control App URL:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003ESHOW ENDPOINTS IN SERVICE OPENROUTESERVICE_APP.CORE.ORS_CONTROL_APP;\nSELECT 'https://' || ingress_url AS control_app_url\nFROM TABLE(RESULT_SCAN(LAST_QUERY_ID()))\nWHERE name = 'ors-control-app';\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/oss-install-openrouteservice-native-app/install-successful.png?v=c0b8d2a7\" alt=\"Route Optimizer Installed Successfully\"\u003E\u003C/p\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EAccess the ORS Control App\u003C/h2\u003E\n","\u003Cp\u003EOnce deployment completes, the build skill prints the ORS Control App URL. You can also retrieve it at any time by running:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003ESHOW ENDPOINTS IN SERVICE OPENROUTESERVICE_APP.CORE.ORS_CONTROL_APP;\nSELECT 'https://' || ingress_url AS control_app_url\nFROM TABLE(RESULT_SCAN(LAST_QUERY_ID()))\nWHERE name = 'ors-control-app';\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EOpen the URL in your browser to access the \u003Cstrong\u003EORS Control App\u003C/strong\u003E — a React-based web dashboard that manages all aspects of the routing solution.\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003E\u003Cem\u003ENOTE:\u003C/em\u003E\u003C/strong\u003E The ORS Control App is secured by Snowflake authentication. You will be prompted to log in with your Snowflake credentials on first access.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Ch3\u003EORS Control App\u003C/h3\u003E\n","\u003Cp\u003EThe ORS Control App is the central management interface for the routing solution. It provides:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Cstrong\u003EService Manager\u003C/strong\u003E - Start/Stop controls for all 5 running SPCS services:\n\u003Cul\u003E\u003Cli\u003E\u003Cstrong\u003EData Downloader\u003C/strong\u003E - Downloads and updates map data\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EOpen Route Service\u003C/strong\u003E - Core routing and directions engine\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003ERouting Gateway\u003C/strong\u003E - API gateway for routing requests\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EVROOM Service\u003C/strong\u003E - Route optimization engine\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EORS Control App\u003C/strong\u003E - This web UI itself\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/oss-install-openrouteservice-native-app/status.png?v=c0b8d2a7\" alt=\"Status Page\"\u003E\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Cstrong\u003EFunction Tester\u003C/strong\u003E - Test all four routing functions interactively with sample addresses\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003ECity Provisioning\u003C/strong\u003E - Browse the region catalog and provision new map regions\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EMatrix Builder\u003C/strong\u003E - Build and view travel-time matrix datasets\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003EUse the \u003Cstrong\u003EStart All\u003C/strong\u003E / \u003Cstrong\u003EStop All\u003C/strong\u003E buttons for bulk service operations, or manage services individually. Click \u003Cstrong\u003ERefresh Status\u003C/strong\u003E to update the dashboard.\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003E\u003Cem\u003ETIP:\u003C/em\u003E\u003C/strong\u003E All 5 services should show ✅ RUNNING status before using the routing functions.\u003C/p\u003E\n\u003C/blockquote\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003E\u003Cem\u003ENOTE:\u003C/em\u003E\u003C/strong\u003E Graph build time depends on your configuration:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Cstrong\u003EMap size\u003C/strong\u003E: Larger country or state maps take longer than city maps\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EVehicle profiles\u003C/strong\u003E: Each enabled profile (driving-car, cycling, walking, etc.) generates its own routing graph\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003EA city map with 2 profiles will complete in minutes; a country map with 5+ profiles can take several hours.\u003C/p\u003E\n\u003C/blockquote\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EFunction Tester\u003C/h2\u003E\n","\u003Cp\u003EThe ORS Control App includes a \u003Cstrong\u003EFunctions\u003C/strong\u003E page for testing all routing functions interactively with a live map preview.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/oss-install-openrouteservice-native-app/functions.jpg?v=c0b8d2a7\" alt=\"Functions Page\"\u003E\u003C/p\u003E\n","\u003Cp\u003ETo access the Functions page:\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003EOpen the ORS Control App URL (printed at the end of the build skill, or retrieved via \u003Ccode\u003ESHOW ENDPOINTS IN SERVICE OPENROUTESERVICE_APP.CORE.ORS_CONTROL_APP\u003C/code\u003E)\u003C/li\u003E\u003Cli\u003ENavigate to the \u003Cstrong\u003EFunctions\u003C/strong\u003E page in the app\u003C/li\u003E\u003C/ol\u003E\n","\u003Cp\u003EThe Functions page allows you to test all routing functions:\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003E🗺️ DIRECTIONS\u003C/strong\u003E\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003ESelect start and end locations from preset addresses\u003C/li\u003E\u003Cli\u003EChoose a routing profile (car, truck, bicycle)\u003C/li\u003E\u003Cli\u003EView the calculated route on an interactive map\u003C/li\u003E\u003Cli\u003ESee step-by-step directions and distance/duration\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003E\u003Cstrong\u003E🚚 OPTIMIZATION\u003C/strong\u003E\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EConfigure multiple vehicles with different:\n\u003Cul\u003E\u003Cli\u003ETime windows (start/end hours)\u003C/li\u003E\u003Cli\u003ECapacity limits\u003C/li\u003E\u003Cli\u003ESkill sets (refrigeration, hazardous goods, etc.)\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003Cli\u003EAdd delivery jobs with:\n\u003Cul\u003E\u003Cli\u003ELocations\u003C/li\u003E\u003Cli\u003ETime windows\u003C/li\u003E\u003Cli\u003ERequired skills\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003Cli\u003ERun the optimization to see assigned routes per vehicle\u003C/li\u003E\u003Cli\u003EView detailed itinerary for each vehicle\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003E\u003Cstrong\u003E⏰ ISOCHRONES\u003C/strong\u003E\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003ESelect a center point location\u003C/li\u003E\u003Cli\u003EChoose travel time in minutes\u003C/li\u003E\u003Cli\u003EGenerate a catchment polygon showing how far you can travel\u003C/li\u003E\u003Cli\u003EUseful for delivery zone planning and coverage analysis\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003E\u003Cstrong\u003E🗺️ TIME-DISTANCE MATRIX\u003C/strong\u003E\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003ECalculate travel time and distance matrices between multiple locations\u003C/li\u003E\u003C/ul\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003E\u003Cem\u003ETIP:\u003C/em\u003E\u003C/strong\u003E The Functions page comes pre-configured with San Francisco addresses and default vehicle profiles (car, HGV, electric bicycle). When you customize the deployment, the Functions page is automatically updated with region-specific addresses and your enabled vehicle profiles.\u003C/p\u003E\n\u003C/blockquote\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EDemos\u003C/h2\u003E\n","\u003Cp\u003EThe routing solution includes several optional demos that showcase real-world use cases built on top of the core routing functions. Each demo is deployed independently using a dedicated skill — run any of them after the base installation is complete.\u003C/p\u003E\n","\u003Cp\u003EIn case you have not done this before, to deploy a demo, tell Snowflake CoCo:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003E$<demo-skill-name>\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003EDwell Analysis\u003C/h3\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/oss-install-openrouteservice-native-app/dwell_analysis.png?v=c0b8d2a7\" alt=\"Dwell Analysis Overview\"\u003E\u003C/p\u003E\n","\u003Cp\u003EThe \u003Cstrong\u003EDwell Analysis\u003C/strong\u003E demo monitors how long fleet vehicles stop at facilities and tracks SLA compliance across the entire operation. It uses a Dynamic Table pipeline to detect vehicle states, sessionize dwell events, and surface H3 congestion heatmaps.\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003EKey features:\u003C/strong\u003E\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EKPI tiles: total trips, average dwell time, SLA compliance rate, active drivers\u003C/li\u003E\u003Cli\u003EDaily Trends chart showing dwell events over the last 30 days\u003C/li\u003E\u003Cli\u003ETop 10 Facilities by Visits ranked bar chart\u003C/li\u003E\u003Cli\u003ESub-pages: Congestion Map, Facility Utilization, SLA Alerts, Trip Inspector, Driver Performance, Live Operations\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003ETo deploy:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003E$dwell-analysis\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003EFleet Delivery\u003C/h3\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/oss-install-openrouteservice-native-app/fleet_delivery.png?v=c0b8d2a7\" alt=\"Fleet Delivery Dashboard\"\u003E\u003C/p\u003E\n","\u003Cp\u003EThe \u003Cstrong\u003EFleet Delivery\u003C/strong\u003E demo provides fleet-wide delivery analytics for courier operations.\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003EKey features:\u003C/strong\u003E\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EKPI tiles: total couriers, deliveries, average delivery time and distance\u003C/li\u003E\u003Cli\u003ELive map of active courier positions across the city\u003C/li\u003E\u003Cli\u003EDeliveries by Hour histogram showing demand patterns\u003C/li\u003E\u003Cli\u003ETop Couriers leaderboard by trip volume\u003C/li\u003E\u003Cli\u003ESub-pages: Fleet Map, Catchment Panel, Courier Heatmap\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003ETo deploy:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003E$deploy-fleet-intelligence-food-delivery\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003EFleet Taxis\u003C/h3\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/oss-install-openrouteservice-native-app/fleet_taxis.jpg?v=c0b8d2a7\" alt=\"Fleet Taxis Overview\"\u003E\u003C/p\u003E\n","\u003Cp\u003EThe \u003Cstrong\u003EFleet Taxis\u003C/strong\u003E demo generates realistic taxi driver location data using Overture Maps and OpenRouteService for actual road routes, then visualizes fleet-wide operations across a configurable city and number of drivers.\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003EKey features:\u003C/strong\u003E\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EKPI tiles: total drivers, trips, average distance and duration\u003C/li\u003E\u003Cli\u003ELive map of all active taxi routes across the city\u003C/li\u003E\u003Cli\u003ETrips by Hour histogram showing demand patterns throughout the day\u003C/li\u003E\u003Cli\u003ESub-pages: Driver Routes, Heat Map\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003ETo deploy:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003E$fleet-intelligence-taxis\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003ERoute Deviation\u003C/h3\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/oss-install-openrouteservice-native-app/route_deviation.png?v=c0b8d2a7\" alt=\"Route Deviation Dashboard\"\u003E\u003C/p\u003E\n","\u003Cp\u003EThe \u003Cstrong\u003ERoute Deviation\u003C/strong\u003E demo identifies drivers and routes that deviate from the planned path. It runs a 3-step ETL pipeline to compute deviation percentages and registers analytical dashboard pages directly into the ORS Control App.\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003EKey features:\u003C/strong\u003E\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EKPI tiles: total routes, average deviation %, on-route %, high deviation count\u003C/li\u003E\u003Cli\u003EDaily Trend chart of deviation events over time\u003C/li\u003E\u003Cli\u003EDeviation Distribution donut chart\u003C/li\u003E\u003Cli\u003ETop Deviators table ranked by average deviation percentage\u003C/li\u003E\u003Cli\u003ESub-pages: Route Comparison, Route Inspector\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003ETo deploy:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003E$route-deviation\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003ERetail Catchment\u003C/h3\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/oss-install-openrouteservice-native-app/retail_catchment.jpg?v=c0b8d2a7\" alt=\"Retail Catchment Analysis\"\u003E\u003C/p\u003E\n","\u003Cp\u003EThe \u003Cstrong\u003ERetail Catchment\u003C/strong\u003E demo uses isochrone analysis with Overture Maps POI data to visualize how many customers, competitors, and addresses fall within a configurable travel-time zone around any retail location.\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003EKey features:\u003C/strong\u003E\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003ECity and travel mode selectors (Car, Cycling, Walking)\u003C/li\u003E\u003Cli\u003EConfigurable zone count and maximum travel time sliders\u003C/li\u003E\u003Cli\u003EH3 resolution control for address density overlays\u003C/li\u003E\u003Cli\u003ECompetitor overlay (red markers) and address density heatmap\u003C/li\u003E\u003Cli\u003EPOI table listing nearby points of interest by category\u003C/li\u003E\u003Cli\u003EMulti-zone isochrone map with overlapping catchment rings\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003ETo deploy:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003E$retail-catchment\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003ERouting Agent\u003C/h3\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/oss-install-openrouteservice-native-app/routing_agent.jpg?v=c0b8d2a7\" alt=\"Routing Agent Playground\"\u003E\u003C/p\u003E\n","\u003Cp\u003EThe \u003Cstrong\u003ERouting Agent\u003C/strong\u003E demo creates a Snowflake CoWork (Cortex) agent that answers natural language routing queries. Users can ask for directions, estimate travel times, or explore isochrones through a conversational interface with the route rendered live on a map.\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003EKey features:\u003C/strong\u003E\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003ENatural language chat interface connected to the ORS routing functions\u003C/li\u003E\u003Cli\u003ERoute results visualized on an interactive map alongside the text response\u003C/li\u003E\u003Cli\u003ESupports directions, isochrones, and time-distance queries in plain English\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003ETo deploy:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003E$routing-agent\n\u003C/code\u003E\u003C/pre\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003ESQL Function Reference\u003C/h2\u003E\n","\u003Cp\u003EAll routing functions are deployed as SQL functions inside the \u003Ccode\u003EOPENROUTESERVICE_APP\u003C/code\u003E database and can be called directly from any Snowflake worksheet, notebook, or application. The functions live under \u003Ccode\u003EOPENROUTESERVICE_APP.CORE\u003C/code\u003E.\u003C/p\u003E\n","\u003Ch3\u003EFunction Overview\u003C/h3\u003E\n\u003Ctable\u003E\u003Cthead\u003E\u003Ctr\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EFunction\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003ESignature\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EReturns\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EDescription\u003C/th\u003E\u003C/tr\u003E\u003C/thead\u003E\u003Ctbody\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EDIRECTIONS\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003E(method VARCHAR, jstart ARRAY, jend ARRAY [, region VARCHAR])\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003ETABLE(RESPONSE VARIANT, GEOJSON GEOGRAPHY, DISTANCE FLOAT, DURATION FLOAT)\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EPoint-to-point directions with route geometry\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EDIRECTIONS\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003E(method VARCHAR, locations VARIANT [, region VARCHAR])\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003ETABLE(RESPONSE VARIANT, GEOJSON GEOGRAPHY, DISTANCE FLOAT, DURATION FLOAT)\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EMulti-waypoint directions with route geometry\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EISOCHRONES\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003E(method VARCHAR, lon FLOAT, lat FLOAT, range NUMBER [, region VARCHAR])\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003ETABLE(RESPONSE VARIANT, GEOJSON GEOGRAPHY)\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ECatchment area polygon\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EOPTIMIZATION\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003E(jobs ARRAY, vehicles ARRAY, matrices ARRAY [, region VARCHAR])\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003ETABLE(RESPONSE VARIANT, GEOJSON GEOGRAPHY, VEHICLE NUMBER, DURATION NUMBER, STEPS VARIANT)\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ERoute optimization (tabular)\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EOPTIMIZATION\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003E(challenge VARIANT [, region VARCHAR])\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003ETABLE(RESPONSE VARIANT, GEOJSON GEOGRAPHY, VEHICLE NUMBER, DURATION NUMBER, STEPS VARIANT)\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ERoute optimization (raw)\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EMATRIX\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003E(method VARCHAR, locations ARRAY [, region VARCHAR])\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EVARIANT\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ETime-distance matrix (tabular)\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EMATRIX\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003E(method VARCHAR, options VARIANT [, region VARCHAR])\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EVARIANT\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ETime-distance matrix (raw)\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EORS_STATUS\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003E([region VARCHAR])\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EVARIANT\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EService health and graph info\u003C/td\u003E\u003C/tr\u003E\u003C/tbody\u003E\u003C/table\u003E\n","\u003Ch3\u003ESQL Examples\u003C/h3\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003E\u003Cem\u003ENOTE:\u003C/em\u003E\u003C/strong\u003E All functions accept an optional \u003Ccode\u003EREGION VARCHAR\u003C/code\u003E parameter (defaults to \u003Ccode\u003ENULL\u003C/code\u003E = current region). \u003Ccode\u003EDIRECTIONS\u003C/code\u003E, \u003Ccode\u003EISOCHRONES\u003C/code\u003E, and \u003Ccode\u003EOPTIMIZATION\u003C/code\u003E are table functions — call them with \u003Ccode\u003ESELECT * FROM TABLE(func(...))\u003C/code\u003E. \u003Ccode\u003EMATRIX\u003C/code\u003E and \u003Ccode\u003EORS_STATUS\u003C/code\u003E are scalar functions — call them with \u003Ccode\u003ESELECT func(...)\u003C/code\u003E.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003EDirections: Point-to-Point\u003C/strong\u003E\u003C/p\u003E\n","\u003Cp\u003ECalculate a driving route between two coordinates (longitude, latitude):\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003ESELECT * FROM TABLE(OPENROUTESERVICE_APP.CORE.DIRECTIONS(\n    'driving-car',\n    [-122.4194, 37.7749],   -- start: [lon, lat]\n    [-122.4783, 37.8199]    -- end:   [lon, lat]\n));\n-- Returns: RESPONSE (variant), GEOJSON (geography), DISTANCE (float, meters), DURATION (float, seconds)\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Cstrong\u003EDirections: Multi-Waypoint\u003C/strong\u003E\u003C/p\u003E\n","\u003Cp\u003ERoute through multiple stops by passing a \u003Ccode\u003Elocations\u003C/code\u003E object as VARIANT using \u003Ccode\u003EPARSE_JSON\u003C/code\u003E:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003ESELECT * FROM TABLE(OPENROUTESERVICE_APP.CORE.DIRECTIONS(\n    'driving-car',\n    PARSE_JSON('{"coordinates": [\n        [-122.4194, 37.7749],\n        [-122.4078, 37.7941],\n        [-122.4783, 37.8199]\n    ]}')\n));\n-- Returns: RESPONSE (variant), GEOJSON (geography), DISTANCE (float, meters), DURATION (float, seconds)\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Cstrong\u003EIsochrones\u003C/strong\u003E\u003C/p\u003E\n","\u003Cp\u003EGenerate a polygon showing the area reachable within 10 minutes of driving. Cast \u003Ccode\u003Elon\u003C/code\u003E and \u003Ccode\u003Elat\u003C/code\u003E to \u003Ccode\u003EFLOAT\u003C/code\u003E:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003ESELECT * FROM TABLE(OPENROUTESERVICE_APP.CORE.ISOCHRONES(\n    'driving-car',\n    -122.4194::FLOAT,   -- longitude\n    37.7749::FLOAT,     -- latitude\n    10                  -- range in minutes\n));\n-- Returns: RESPONSE (variant), GEOJSON (geography)\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Cstrong\u003EOptimization: Tabular\u003C/strong\u003E\u003C/p\u003E\n","\u003Cp\u003EMatch delivery jobs to vehicles using arrays of jobs and vehicles:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003ESELECT * FROM TABLE(OPENROUTESERVICE_APP.CORE.OPTIMIZATION(\n    -- jobs: array of delivery tasks\n    [\n        {'id': 1, 'location': [-122.4194, 37.7749], 'service': 300},\n        {'id': 2, 'location': [-122.4078, 37.7941], 'service': 300},\n        {'id': 3, 'location': [-122.4350, 37.7609], 'service': 300}\n    ],\n    -- vehicles: array of available vehicles\n    [\n        {'id': 1, 'profile': 'driving-car', 'start': [-122.4177, 37.8080], 'end': [-122.4177, 37.8080], 'capacity': [4], 'time_window': [28800, 43200]},\n        {'id': 2, 'profile': 'driving-car', 'start': [-122.3950, 37.7785], 'end': [-122.3950, 37.7785], 'capacity': [4], 'time_window': [28800, 43200]}\n    ],\n    -- matrices (optional, empty array uses ORS to calculate)\n    []\n));\n-- Returns: RESPONSE (variant), GEOJSON (geography), VEHICLE (int), DURATION (int), STEPS (variant)\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Cstrong\u003EOptimization: Raw Variant\u003C/strong\u003E\u003C/p\u003E\n","\u003Cp\u003EPass a full VROOM-compatible JSON challenge:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003ESELECT * FROM TABLE(OPENROUTESERVICE_APP.CORE.OPTIMIZATION(\n    PARSE_JSON('{\n        "jobs": [\n            {"id": 1, "location": [-122.4194, 37.7749], "service": 300},\n            {"id": 2, "location": [-122.4078, 37.7941], "service": 300}\n        ],\n        "vehicles": [\n            {"id": 1, "profile": "driving-car", "start": [-122.4177, 37.8080], "end": [-122.4177, 37.8080], "capacity": [4]}\n        ]\n    }')\n));\n-- Returns: RESPONSE (variant), GEOJSON (geography), VEHICLE (int), DURATION (int), STEPS (variant)\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Cstrong\u003EMatrix: Tabular\u003C/strong\u003E\u003C/p\u003E\n","\u003Cp\u003ECalculate the time and distance matrix between multiple locations:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003ESELECT OPENROUTESERVICE_APP.CORE.MATRIX(\n    'driving-car',\n    ARRAY_CONSTRUCT(\n        ARRAY_CONSTRUCT(-122.4194, 37.7749),\n        ARRAY_CONSTRUCT(-122.4078, 37.7941),\n        ARRAY_CONSTRUCT(-122.4783, 37.8199)\n    )\n) AS matrix;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Cstrong\u003EMatrix: Raw Variant\u003C/strong\u003E\u003C/p\u003E\n","\u003Cp\u003EPass full matrix options for advanced control (sources, destinations, metrics):\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003ESELECT OPENROUTESERVICE_APP.CORE.MATRIX(\n    'driving-car',\n    PARSE_JSON('{\n        "locations": [[-122.4194, 37.7749], [-122.4078, 37.7941], [-122.4783, 37.8199]],\n        "metrics": ["distance", "duration"],\n        "resolve_locations": true,\n        "sources": [0],\n        "destinations": [1, 2]\n    }')\n) AS matrix;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Cstrong\u003EORS Status\u003C/strong\u003E\u003C/p\u003E\n","\u003Cp\u003ECheck service health and available routing profiles:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003ESELECT OPENROUTESERVICE_APP.CORE.ORS_STATUS() AS status;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003ENative GEOGRAPHY Output\u003C/h3\u003E\n","\u003Cp\u003E\u003Ccode\u003EDIRECTIONS\u003C/code\u003E, \u003Ccode\u003EISOCHRONES\u003C/code\u003E, and \u003Ccode\u003EOPTIMIZATION\u003C/code\u003E are table functions that return a \u003Ccode\u003EGEOJSON GEOGRAPHY\u003C/code\u003E column directly alongside the full \u003Ccode\u003ERESPONSE VARIANT\u003C/code\u003E. There are no separate \u003Ccode\u003E_GEO\u003C/code\u003E wrapper functions — geography output is built in.\u003C/p\u003E\n\u003Ctable\u003E\u003Cthead\u003E\u003Ctr\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EFunction\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EGEOGRAPHY column\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EAdditional columns\u003C/th\u003E\u003C/tr\u003E\u003C/thead\u003E\u003Ctbody\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EDIRECTIONS\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EGEOJSON\u003C/code\u003E — route LineString\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EDISTANCE\u003C/code\u003E (meters), \u003Ccode\u003EDURATION\u003C/code\u003E (seconds)\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EISOCHRONES\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EGEOJSON\u003C/code\u003E — catchment Polygon\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E—\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EOPTIMIZATION\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EGEOJSON\u003C/code\u003E — vehicle route LineString\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EVEHICLE\u003C/code\u003E (id), \u003Ccode\u003EDURATION\u003C/code\u003E (seconds), \u003Ccode\u003ESTEPS\u003C/code\u003E (variant)\u003C/td\u003E\u003C/tr\u003E\u003C/tbody\u003E\u003C/table\u003E\n","\u003Ch3\u003EGeospatial Integration Patterns\u003C/h3\u003E\n","\u003Cp\u003EThe \u003Ccode\u003EGEOJSON GEOGRAPHY\u003C/code\u003E column returned by \u003Ccode\u003EDIRECTIONS\u003C/code\u003E, \u003Ccode\u003EISOCHRONES\u003C/code\u003E, and \u003Ccode\u003EOPTIMIZATION\u003C/code\u003E can be chained directly with Snowflake's built-in geospatial functions:\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003ERoute length in kilometers:\u003C/strong\u003E\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003ESELECT\n    ST_LENGTH(GEOJSON) / 1000 AS route_length_km,\n    DISTANCE / 1000 AS ors_distance_km,\n    DURATION / 60 AS duration_minutes\nFROM TABLE(OPENROUTESERVICE_APP.CORE.DIRECTIONS(\n    'driving-car', [-122.4194, 37.7749], [-122.4783, 37.8199]\n));\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Cstrong\u003EIsochrone area in square kilometers:\u003C/strong\u003E\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003ESELECT\n    ST_AREA(GEOJSON) / 1000000 AS catchment_area_sq_km\nFROM TABLE(OPENROUTESERVICE_APP.CORE.ISOCHRONES(\n    'driving-car', -122.4194::FLOAT, 37.7749::FLOAT, 15\n));\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Cstrong\u003ECheck if a point falls within an isochrone:\u003C/strong\u003E\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003ESELECT\n    ST_WITHIN(\n        ST_MAKEPOINT(-122.4078, 37.7941),\n        GEOJSON\n    ) AS is_reachable\nFROM TABLE(OPENROUTESERVICE_APP.CORE.ISOCHRONES(\n    'driving-car', -122.4194::FLOAT, 37.7749::FLOAT, 10\n));\n\u003C/code\u003E\u003C/pre\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EORS Configuration\u003C/h2\u003E\n","\u003Cp\u003EThe routing solution is configured via the \u003Ccode\u003Eors-config.yml\u003C/code\u003E file which controls:\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003EMap Source File\u003C/strong\u003E\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-yml\"\u003Eors:\n  engine:\n    profile_default:\n      build:  \n        source_file: /home/ors/files/SanFrancisco.osm.pbf\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EThe default deployment uses San Francisco. When you customize the map region, this path is updated automatically.\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003ERouting Profiles\u003C/strong\u003E\u003C/p\u003E\n","\u003Cp\u003EThe configuration defines which routing profiles are available for routing:\u003C/p\u003E\n\u003Ctable\u003E\u003Cthead\u003E\u003Ctr\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EProfile\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EDescription\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EDefault\u003C/th\u003E\u003C/tr\u003E\u003C/thead\u003E\u003Ctbody\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Edriving-car\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EStandard passenger vehicle\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E✅ Enabled\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Edriving-hgv\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EHeavy goods vehicle (trucks)\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E✅ Enabled\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Ecycling-road\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ERoad bicycle\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E❌ Disabled\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Ecycling-regular\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ERegular bicycle\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E❌ Disabled\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Ecycling-mountain\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EMountain bicycle\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E❌ Disabled\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Ecycling-electric\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EElectric bicycle\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E✅ Enabled\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Efoot-walking\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EPedestrian walking\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E❌ Disabled\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Efoot-hiking\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EHiking trails\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E❌ Disabled\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Ewheelchair\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EWheelchair accessible\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E❌ Disabled\u003C/td\u003E\u003C/tr\u003E\u003C/tbody\u003E\u003C/table\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003E\u003Cem\u003ENOTE:\u003C/em\u003E\u003C/strong\u003E Enabling more profiles increases graph build time and compute resource usage. The default configuration covers most delivery and logistics use cases.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003EOptimization Limits\u003C/strong\u003E\u003C/p\u003E\n","\u003Cp\u003EThe config also controls route optimization capacity:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-yml\"\u003E    matrix:\n      maximum_visited_nodes: 100000000\n      maximum_routes: 250000\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EThese settings support complex route optimizations with many vehicles and delivery points.\u003C/p\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003ECustomize Your Deployment\u003C/h2\u003E\n","\u003Cp\u003EAll the customization (location, routing profiles) can be managed via the application itself in the region builder section.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/oss-install-openrouteservice-native-app/region_builder.png?v=c0b8d2a7\" alt=\"region_builder\"\u003E\u003C/p\u003E\n","\u003Cp\u003EJust use the UI to configure different locations and vehicle. Below example for New York.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/oss-install-openrouteservice-native-app/region_builder_example.png?v=c0b8d2a7\" alt=\"region_builder_example\"\u003E\u003C/p\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EUninstall the Route Optimizer\u003C/h2\u003E\n","\u003Cp\u003ESnowflake CoCo makes uninstallation simple with natural language commands.\u003C/p\u003E\n","\u003Ch3\u003EUninstall demo\u003C/h3\u003E\n","\u003Cp\u003ETo remove the Snowflake objects installed as part of the demo you can type in Snowflake CoCo CLI:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003E$routing-solution-cleanup\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EOr drop the objects manually:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003EDROP DATABASE IF EXISTS OPENROUTESERVICE_APP;\nDROP DATABASE IF EXISTS SYNTHETIC_DATASETS;\nDROP DATABASE IF EXISTS FLEET_INTELLIGENCE;\nDROP WAREHOUSE IF EXISTS ROUTING_ANALYTICS;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EThis will remove:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EThe \u003Ccode\u003EOPENROUTESERVICE_APP\u003C/code\u003E database (including all stages, functions, and SPCS services)\u003C/li\u003E\u003Cli\u003EThe \u003Ccode\u003ESYNTHETIC_DATASETS\u003C/code\u003E and \u003Ccode\u003EFLEET_INTELLIGENCE\u003C/code\u003E databases (seed data and fleet demos)\u003C/li\u003E\u003Cli\u003EThe \u003Ccode\u003EROUTING_ANALYTICS\u003C/code\u003E warehouse\u003C/li\u003E\u003C/ul\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003E\u003Cem\u003ENOTE:\u003C/em\u003E\u003C/strong\u003E The \u003Ccode\u003Erouting-solution-cleanup\u003C/code\u003E skill auto-discovers all objects created by the skills via COMMENT tracking tags, so it will also clean up any demo objects (fleet intelligence, route deviation, retail catchment, etc.).\u003C/p\u003E\n\u003C/blockquote\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EConclusion and Resources\u003C/h2\u003E\n","\u003Ch3\u003EConclusion\u003C/h3\u003E\n","\u003Cp\u003EYou've just deployed a \u003Cstrong\u003Eself-contained routing solution\u003C/strong\u003E in Snowflake using natural language commands - no complex configuration files, no external API dependencies, and no data leaving your Snowflake environment.\u003C/p\u003E\n","\u003Cp\u003EThis solution demonstrates the power of combining:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Cstrong\u003ESnowflake CoCo\u003C/strong\u003E - AI-powered CLI that turns natural language into automated workflows\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003ESnowpark Container Services\u003C/strong\u003E - Running OpenRouteService as a self-managed routing engine\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003ESQL-Callable Functions\u003C/strong\u003E - Routing functions for directions, optimization, isochrones, and time-distance matrix\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EWhat You Learned\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Cstrong\u003EDeploy with Snowflake CoCo\u003C/strong\u003E - Use natural language skills to automate complex Snowflake deployments including container services, stages, and compute pools\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Cstrong\u003ESelf-Managed Route Optimization\u003C/strong\u003E - Run OpenRouteService entirely within Snowflake with no external API calls, giving you unlimited routing requests and complete data privacy\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Cstrong\u003EFlexible Customization\u003C/strong\u003E - Use skills to customize location (any city in the world) and vehicle types (car, HGV, bicycle, walking)\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Cstrong\u003EFour Routing Functions:\u003C/strong\u003E\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Cstrong\u003EDirections\u003C/strong\u003E - Point-to-point and multi-waypoint routing\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EOptimization\u003C/strong\u003E - Match delivery jobs to vehicles based on time windows, capacity, and skills\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EIsochrones\u003C/strong\u003E - Generate catchment polygons showing reachable areas\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003ETime-Distance Matrix\u003C/strong\u003E - Calculate travel time and distance matrices between multiple locations\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Cstrong\u003ENative GEOGRAPHY Output\u003C/strong\u003E — \u003Ccode\u003EDIRECTIONS\u003C/code\u003E, \u003Ccode\u003EISOCHRONES\u003C/code\u003E, and \u003Ccode\u003EOPTIMIZATION\u003C/code\u003E return route and polygon geometry as a native \u003Ccode\u003EGEOGRAPHY\u003C/code\u003E column directly — no JSON parsing or wrapper functions needed\u003C/p\u003E\n\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003ERelated Resources\u003C/h3\u003E\n","\u003Ch4\u003ESource code\u003C/h4\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Ca href=\"https://github.com/Snowflake-Labs/sfguide-Create-a-Route-Optimisation-and-Vehicle-Route-Plan-Simulator\"\u003ESource Code on Github\u003C/a\u003E\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch4\u003EOpenRouteService Resources\u003C/h4\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Ca href=\"https://openrouteservice.org/\"\u003EOpenRouteService Official Website\u003C/a\u003E - Documentation, API reference, and community resources\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://github.com/GIScience/openrouteservice\"\u003EOpenRouteService on GitHub\u003C/a\u003E - Source code and technical documentation\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://github.com/VROOM-Project/vroom\"\u003EVROOM Project\u003C/a\u003E - Vehicle Routing Open-source Optimization Machine powering route optimization\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch4\u003ESnowflake CoCo\u003C/h4\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/en/user-guide/cortex-code/cortex-code\"\u003ESnowflake CoCo\u003C/a\u003E - Snowflake's AI-powered CLI and agentic interface\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/en/developer-guide/snowpark-container-services/overview\"\u003ESnowpark Container Services\u003C/a\u003E - Run containerized workloads natively in Snowflake\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch4\u003EMap Data Sources\u003C/h4\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Ca href=\"https://download.geofabrik.de/\"\u003EGeofabrik Downloads\u003C/a\u003E - Country and region OpenStreetMap extracts\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://extract.bbbike.org/\"\u003EBBBike Extracts\u003C/a\u003E - City-specific OpenStreetMap extracts for faster processing\u003C/li\u003E\u003C/ul\u003E"],"description":"Build Routing Solution in Snowflake using Snowflake CoCo AI-powered skills. Deploy routing functions (Directions, Optimization, Isochrones, Time-Distance Matrix) via Snowpark Container Services with no external APIs - customize for any city worldwide.","title":"Build Routing Solution in Snowflake with Snowflake CoCo",":items":{},":itemsOrder":[],":type":"snowflake-site/components/contentfragment","elements":{"quickstartArticleBody":{"dataType":"string","title":"Quickstart Article Body","value":"\u003E 🚀 **Build. Customize. Optimize.** Use natural language to deploy a complete route optimization solution in Snowflake - no code, no external APIs, just results.\n\n\u003C!-- ------------------------ --\u003E\n## Overview \n\n![alt text](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/oss-install-openrouteservice-native-app/intro.png?v=c0b8d2a7)\n\n**Build a complete routing platform in minutes using just natural language commands.**\n\nThis solution deploys [OpenRouteService](https://openrouteservice.org/) directly in your Snowflake account using **Snowflake CoCo** — Snowflake's AI-powered CLI. It runs as a set of Snowpark Container Services, callable as plain SQL functions. No complex setup, no external APIs, no data leaving Snowflake.\n\n### What You'll Build\n\n🔧 **Openrouteservice on SPCS** - A self-contained routing engine running in Snowpark Container Services with SQL-callable functions.\n\n📍 **Four Powerful Routing Functions:**\n- **Directions** - Calculate optimal routes between multiple waypoints\n- **Optimization** - Match delivery jobs to vehicles based on time windows, capacity, and skills\n- **Isochrones** - Generate catchment polygons showing reachable areas within a given drive time\n- **Time-Distance Matrix** - Calculate travel time and distance matrices between multiple locations\n\n📐 **Native GEOGRAPHY Output** — `DIRECTIONS`, `ISOCHRONES`, and `OPTIMIZATION` return route and polygon geometry as a native Snowflake `GEOGRAPHY` column directly — ready for geospatial analysis with `ST_LENGTH`, `ST_AREA`, `ST_WITHIN`, and more.\n\n🗺️ **Any Location** - Customize to Paris, London, New York, or anywhere in the world with downloadable OpenStreetMap data.\n\n🧪 **Function Tester** - An interactive web UI (ORS Control App) to test the routing functions with sample addresses.\n\n### Why This Matters\n\n| Traditional Approach | This Solution |\n|---------------------|---------------|\n| External API dependencies | Self-contained SPCS deployment |\n| Data leaves your environment | Everything stays in Snowflake |\n| Complex integration work | Deploy with natural language commands |\n| Pay-per-call API limits | Unlimited calls, you control compute |\n| Hours of setup | Minutes to deploy |\n\n### Prerequisites\n\n\u003E **Platform note:** Today, this solution is primarily developed and tested on macOS. Windows users may encounter friction during installation and build steps around container image builds but Snowflake CoCo should be able to resolve it.\n\n**This is what you will need**:\n\n-   **ACCOUNTADMIN** access to your Snowflake account (or a custom role with CREATE DATABASE, CREATE WAREHOUSE, CREATE COMPUTE POOL, and IMPORT SHARE privileges)\n    \n-   [Snowpark Container Services Activated](https://docs.snowflake.com/en/developer-guide/snowpark-container-services/overview)\n\n\u003E **_NOTE:_** This is enabled by default with the exception of Free Trials where you would need to contact your snowflake representative to activate it.  \n\n-   [External Access Integration Activated](https://docs.snowflake.com/en/sql-reference/sql/create-external-access-integration) - Required to download map files from the internet\n\n-   **Snowflake CoCo CLI** installed and configured\n    - Installation: See the [Snowflake CoCo documentation](https://docs.snowflake.com/en/user-guide/cortex-code/cortex-code) for setup instructions\n    - Add to your PATH: `export PATH=\"$HOME/.local/bin:$PATH\"` (add to `~/.zshrc` or `~/.bashrc`)\n    - Verify: `cortex --version`\n\n-   **Container Runtime** - One of the following:\n    - [Podman](https://podman.io/) (recommended): `brew install podman` (macOS) \n    - [Docker Desktop](https://www.docker.com/products/docker-desktop/)\n\n-   **Node.js \u003E= 20** and npm - Required to build the ORS Control App\n    - macOS: `brew install node`\n    - Verify: `node --version`\n\n-   [VSCode](https://code.visualstudio.com/download) recommended for running Snowflake CoCo commands\n\n### Route Planning And Optimization Architecture\n\nThe architecture below shows the solution which uses Snowpark Container Services to power sophisticated routing and optimisation functions. \n\n![alt text](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/oss-install-openrouteservice-native-app/architecture-diagram.png?v=c0b8d2a7)\n\nThis is a self-contained service which is managed by you. There are no API calls outside of Snowflake and no API limitations. This solution uses a small high-memory pool (HIGHMEM_X64_S) which is capable of running unlimited service calls within **San Francisco** (the default map). If you wish to use a larger map such as Europe or the World, you can increase the size of the compute.\n\n\n### What You'll Learn \n\n- Deploy a self-managed routing solution using **Snowflake CoCo** AI-powered CLI with natural language commands\n- Use **Snowpark Container Services** to run OpenRouteService as a self-managed routing engine\n- Understand **Geospatial** data in Snowflake and how it integrates with routing functions\n- Work with 4 routing functions deployed as SQL-callable SPCS services:\n  - **Directions** - Simple and multi-waypoint routing based on road network and vehicle profile\n  - **Optimization** - Route optimization matching demands with vehicle availability\n  - **Isochrones** - Catchment area analysis based on travel time\n  - **Time-Distance Matrix** - Calculate travel time and distance matrices between multiple locations\n- Call all routing functions directly via **SQL** — including concrete query examples you can run immediately\n- Customize map regions and vehicle profiles for your specific use case\n\n\u003C!-- ------------------------ --\u003E\n## Build the Routing Solution\n\nUse Snowflake CoCo, Snowflake's AI-powered coding assistant, to deploy the routing solution using natural language commands and automated skills.\n\n### Setup Snowflake CoCo\n\n1. **Clone the repository**:\n     ```bash\n   git clone https://github.com/Snowflake-Labs/sfguide-create-a-route-optimisation-and-vehicle-route-plan-simulator\n     cd sfguide-create-a-route-optimisation-and-vehicle-route-plan-simulator\n     ```\n   \n   **Without Git**: Download the ZIP from the repository and extract it, then navigate to the folder in VS Code\n\n   After cloning, open the folder in VS Code. You should see the following structure in your Explorer:\n\n   ![Cloned Repository Structure](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/oss-install-openrouteservice-native-app/cloned-objects.png?v=c0b8d2a7)\n\n2. **Launch Snowflake CoCo CLI** in the VS Code terminal:\n   ```bash\n   cortex\n   ```\n\n3. **Connect to Snowflake** - Snowflake CoCo will prompt you to select or create a connection.  once a connection has ben created using one of the authentication methods, you will now be able to start cortex code in the terminal by using the **cortex** command which will give you a similar screen as below.\n\n![Snowflake CoCo Logged In](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/oss-install-openrouteservice-native-app/co-co-logged-in.png?v=c0b8d2a7)\n\n### Understanding Snowflake CoCo Skills\n\nBefore running any commands, it's helpful to understand what **skills** are and how they power this solution.\n\n**What are Skills?**\n\nSkills are structured specifications that instruct Snowflake CoCo how to perform a procedure. Think of them as detailed recipes - they define the exact steps, parameters, and verification checks needed to accomplish a task. Each skill is a markdown file that describes:\n\n- **What the skill does** - A clear description of the outcome\n- **Step-by-step instructions** - The exact sequence of actions to perform\n- **Stopping points** - Where to pause for user input or verification\n- **Success criteria** - How to verify the task completed correctly\n\n**Benefits of Using Skills**\n\n| Benefit | Description |\n|---------|-------------|\n| **Consistency** | Skills ensure the same steps are followed every time, reducing human error |\n| **Reusability** | Once created, skills can be shared and reused across projects and teams |\n| **Transparency** | You can read the skill file to understand exactly what will happen before running it |\n| **Customizability** | Skills can be modified to fit your specific requirements |\n| **AI-Assisted Creation** | Snowflake CoCo can help you create new skills from natural language descriptions |\n\n**How This Solution Uses Skills**\n\nThis repository demonstrates how skills can manage the **complete lifecycle** of an end-to-end Snowflake analytical solution - from installation through customization to uninstallation. There are multiple pre-built skills in the `.cortex/skills/skill_name/SKILL.md`:\n\n| Stage | Skill | What It Does |\n|-------|-------|--------------|\n| **✅ Prerequisites** | `routing-prerequisites` | Check and install all build prerequisites (Docker/Podman, Snowflake CLI, Node.js) |\n| **📦 Build** | `build-routing-solution` | Deploy the full routing solution: build container images, push to SPCS, run SQL modules |\n| **⚙️ Customize** | `routing-customization` | Change the map region, city, or enabled vehicle/routing profiles |\n| **🚚 Demo** | `route-optimization` | Deploy the Route Optimization demo with Marketplace data and notebook |\n| **🚕 Demo** | `fleet-intelligence-taxis` | Generate realistic taxi driver location data and deploy fleet intelligence dashboards |\n| **🛵 Demo** | `deploy-fleet-intelligence-food-delivery` | Deploy the Food Delivery fleet intelligence solution with a React Native app and Streamlit dashboard |\n| **🏪 Demo** | `retail-catchment` | Deploy the Retail Catchment Analysis demo using Overture Maps and isochrone analysis |\n| **📍 Demo** | `route-deviation` | Deploy the Route Deviation Analysis demo with ETL pipeline and React dashboard |\n| **⏱️ Demo** | `dwell-analysis` | Deploy the Dwell & Congestion Analysis pipeline with Dynamic Tables and H3 heatmaps |\n| **🤖 Demo** | `routing-agent` | Create a Snowflake CoWork (Cortex) agent for natural language routing queries |\n| **🗑️ Cleanup** | `routing-solution-cleanup` | Discover and drop all Snowflake objects created by this solution |\n\nTo run any skill, simply tell Snowflake CoCo:\n```\n$\u003Cskill-name\u003E\n```\n\nSnowflake CoCo reads the skill's markdown file and executes each step, asking for input when needed and verifying success before moving on.\n\n\u003E **_TIP:_** Want to see what a skill does before running it? Open the skill's `.md` file in the `.cortex/skills/skill_name/` folder to review the exact steps.\n\n### Verify Prerequisites (Optional)\n\nRun the prerequisites check skill to ensure all dependencies are installed:\n   ```\n   $routing-prerequisites\n   ```\n\n### Build the Routing Solution\n\nTo deploy the plain-vanilla app execute command below in Snowflake CoCo:\n\n```\n$build-routing-solution\n```\n\nIf you are also interested in deploying the demos you can type: \n\n```\n$build-routing-solution and deploy all available demoes\n```\n\nYou can also choose to only deploy specific demoes, just specify them using natural language.\n\nSnowflake CoCo will automatically:\n- Create the required databases (`OPENROUTESERVICE_APP`, `SYNTHETIC_DATASETS`, `FLEET_INTELLIGENCE`), stages, and image repository\n- Upload configuration files and service specs\n- Detect your container runtime (Docker or Podman)\n- Build and push all 5 container images\n- Run 6 SQL modules to deploy the routing services\n\nThe skill will guide you through any required steps, including:\n- Selecting your preferred container runtime if both are available\n- Authenticating with the Snowflake image registry\n- Monitoring the build progress\n\nThe skill uses interactive prompting to gather required information.\n\n**What gets installed:**\n\n| Component | Name | Description |\n|-----------|------|-------------|\n| Database | `OPENROUTESERVICE_APP` | Main database with stages, functions, and SPCS services |\n| Database | `SYNTHETIC_DATASETS` | Seed telemetry and trip data for demos |\n| Database | `FLEET_INTELLIGENCE` | Fleet demo configuration and region registry |\n| Warehouse | `ROUTING_ANALYTICS` | Warehouse for ORS operations |\n| Stage | `ORS_SPCS_STAGE` | Configuration files, map data, and service specs |\n| Stage | `ORS_GRAPHS_SPCS_STAGE` | Generated routing graphs |\n| Stage | `ORS_ELEVATION_CACHE_SPCS_STAGE` | Elevation data cache |\n| Image Repository | `IMAGE_REPOSITORY` | 5 container images for SPCS services |\n| SPCS Service | `ORS_SERVICE` | OpenRouteService routing engine |\n| SPCS Service | `DOWNLOADER` | Downloads OSM map data on demand |\n| SPCS Service | `VROOM_SERVICE` | Vehicle Route Problem optimizer |\n| SPCS Service | `ROUTING_GATEWAY_SERVICE` | Reverse proxy / concurrency layer |\n| SPCS Service | `ORS_CONTROL_APP` | React-based web UI (service manager, function tester, city provisioning) |\n\nSimply confirm each prompt as the skill progresses. The skill handles all the complex setup automatically — creating databases, uploading files, building containers, and deploying all 5 services.\n\nThe skill also:\n- Loads seed datasets (500 intro routes, 472K telemetry points, 29K travel-time matrix pairs, 460 region catalog entries)\n- Installs Overture Maps datasets from Snowflake Marketplace (required for taxi and retail demos)\n- Lets you select which demo skills to deploy on top of the base installation\n\nOnce complete, the skill prints the ORS Control App URL:\n\n```sql\nSHOW ENDPOINTS IN SERVICE OPENROUTESERVICE_APP.CORE.ORS_CONTROL_APP;\nSELECT 'https://' || ingress_url AS control_app_url\nFROM TABLE(RESULT_SCAN(LAST_QUERY_ID()))\nWHERE name = 'ors-control-app';\n```\n\n![Route Optimizer Installed Successfully](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/oss-install-openrouteservice-native-app/install-successful.png?v=c0b8d2a7)\n\n\u003C!-- ------------------------ --\u003E\n## Access the ORS Control App\n\nOnce deployment completes, the build skill prints the ORS Control App URL. You can also retrieve it at any time by running:\n\n```sql\nSHOW ENDPOINTS IN SERVICE OPENROUTESERVICE_APP.CORE.ORS_CONTROL_APP;\nSELECT 'https://' || ingress_url AS control_app_url\nFROM TABLE(RESULT_SCAN(LAST_QUERY_ID()))\nWHERE name = 'ors-control-app';\n```\n\nOpen the URL in your browser to access the **ORS Control App** — a React-based web dashboard that manages all aspects of the routing solution.\n\n\u003E **_NOTE:_** The ORS Control App is secured by Snowflake authentication. You will be prompted to log in with your Snowflake credentials on first access.\n\n### ORS Control App\n\nThe ORS Control App is the central management interface for the routing solution. It provides:\n\n- **Service Manager** - Start/Stop controls for all 5 running SPCS services:\n  - **Data Downloader** - Downloads and updates map data\n  - **Open Route Service** - Core routing and directions engine\n  - **Routing Gateway** - API gateway for routing requests\n  - **VROOM Service** - Route optimization engine\n  - **ORS Control App** - This web UI itself\n\n![Status Page](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/oss-install-openrouteservice-native-app/status.png?v=c0b8d2a7)\n\n- **Function Tester** - Test all four routing functions interactively with sample addresses\n- **City Provisioning** - Browse the region catalog and provision new map regions\n- **Matrix Builder** - Build and view travel-time matrix datasets\n\nUse the **Start All** / **Stop All** buttons for bulk service operations, or manage services individually. Click **Refresh Status** to update the dashboard.\n\n\u003E **_TIP:_** All 5 services should show ✅ RUNNING status before using the routing functions.\n\n\u003E **_NOTE:_** Graph build time depends on your configuration:\n\u003E - **Map size**: Larger country or state maps take longer than city maps\n\u003E - **Vehicle profiles**: Each enabled profile (driving-car, cycling, walking, etc.) generates its own routing graph\n\u003E\n\u003E A city map with 2 profiles will complete in minutes; a country map with 5+ profiles can take several hours.\n\n\u003C!-- ------------------------ --\u003E\n## Function Tester\n\nThe ORS Control App includes a **Functions** page for testing all routing functions interactively with a live map preview.\n\n![Functions Page](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/oss-install-openrouteservice-native-app/functions.jpg?v=c0b8d2a7)\n\nTo access the Functions page:\n1. Open the ORS Control App URL (printed at the end of the build skill, or retrieved via `SHOW ENDPOINTS IN SERVICE OPENROUTESERVICE_APP.CORE.ORS_CONTROL_APP`)\n2. Navigate to the **Functions** page in the app\n\nThe Functions page allows you to test all routing functions:\n\n**🗺️ DIRECTIONS**\n- Select start and end locations from preset addresses\n- Choose a routing profile (car, truck, bicycle)\n- View the calculated route on an interactive map\n- See step-by-step directions and distance/duration\n\n**🚚 OPTIMIZATION**\n- Configure multiple vehicles with different:\n  - Time windows (start/end hours)\n  - Capacity limits\n  - Skill sets (refrigeration, hazardous goods, etc.)\n- Add delivery jobs with:\n  - Locations\n  - Time windows\n  - Required skills\n- Run the optimization to see assigned routes per vehicle\n- View detailed itinerary for each vehicle\n\n**⏰ ISOCHRONES**\n- Select a center point location\n- Choose travel time in minutes\n- Generate a catchment polygon showing how far you can travel\n- Useful for delivery zone planning and coverage analysis\n\n**🗺️ TIME-DISTANCE MATRIX**\n- Calculate travel time and distance matrices between multiple locations\n\n\u003E **_TIP:_** The Functions page comes pre-configured with San Francisco addresses and default vehicle profiles (car, HGV, electric bicycle). When you customize the deployment, the Functions page is automatically updated with region-specific addresses and your enabled vehicle profiles.\n\n\u003C!-- ------------------------ --\u003E\n## Demos\n\nThe routing solution includes several optional demos that showcase real-world use cases built on top of the core routing functions. Each demo is deployed independently using a dedicated skill — run any of them after the base installation is complete.\n\nIn case you have not done this before, to deploy a demo, tell Snowflake CoCo:\n```\n$\u003Cdemo-skill-name\u003E\n```\n\n### Dwell Analysis\n\n![Dwell Analysis Overview](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/oss-install-openrouteservice-native-app/dwell_analysis.png?v=c0b8d2a7)\n\nThe **Dwell Analysis** demo monitors how long fleet vehicles stop at facilities and tracks SLA compliance across the entire operation. It uses a Dynamic Table pipeline to detect vehicle states, sessionize dwell events, and surface H3 congestion heatmaps.\n\n**Key features:**\n- KPI tiles: total trips, average dwell time, SLA compliance rate, active drivers\n- Daily Trends chart showing dwell events over the last 30 days\n- Top 10 Facilities by Visits ranked bar chart\n- Sub-pages: Congestion Map, Facility Utilization, SLA Alerts, Trip Inspector, Driver Performance, Live Operations\n\nTo deploy:\n```\n$dwell-analysis\n```\n\n### Fleet Delivery\n\n![Fleet Delivery Dashboard](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/oss-install-openrouteservice-native-app/fleet_delivery.png?v=c0b8d2a7)\n\nThe **Fleet Delivery** demo provides fleet-wide delivery analytics for courier operations. \n\n**Key features:**\n- KPI tiles: total couriers, deliveries, average delivery time and distance\n- Live map of active courier positions across the city\n- Deliveries by Hour histogram showing demand patterns\n- Top Couriers leaderboard by trip volume\n- Sub-pages: Fleet Map, Catchment Panel, Courier Heatmap\n\nTo deploy:\n```\n$deploy-fleet-intelligence-food-delivery\n```\n\n### Fleet Taxis\n\n![Fleet Taxis Overview](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/oss-install-openrouteservice-native-app/fleet_taxis.jpg?v=c0b8d2a7)\n\nThe **Fleet Taxis** demo generates realistic taxi driver location data using Overture Maps and OpenRouteService for actual road routes, then visualizes fleet-wide operations across a configurable city and number of drivers.\n\n**Key features:**\n- KPI tiles: total drivers, trips, average distance and duration\n- Live map of all active taxi routes across the city\n- Trips by Hour histogram showing demand patterns throughout the day\n- Sub-pages: Driver Routes, Heat Map\n\nTo deploy:\n```\n$fleet-intelligence-taxis\n```\n\n### Route Deviation\n\n![Route Deviation Dashboard](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/oss-install-openrouteservice-native-app/route_deviation.png?v=c0b8d2a7)\n\nThe **Route Deviation** demo identifies drivers and routes that deviate from the planned path. It runs a 3-step ETL pipeline to compute deviation percentages and registers analytical dashboard pages directly into the ORS Control App.\n\n**Key features:**\n- KPI tiles: total routes, average deviation %, on-route %, high deviation count\n- Daily Trend chart of deviation events over time\n- Deviation Distribution donut chart\n- Top Deviators table ranked by average deviation percentage\n- Sub-pages: Route Comparison, Route Inspector\n\nTo deploy:\n```\n$route-deviation\n```\n\n### Retail Catchment\n\n![Retail Catchment Analysis](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/oss-install-openrouteservice-native-app/retail_catchment.jpg?v=c0b8d2a7)\n\nThe **Retail Catchment** demo uses isochrone analysis with Overture Maps POI data to visualize how many customers, competitors, and addresses fall within a configurable travel-time zone around any retail location.\n\n**Key features:**\n- City and travel mode selectors (Car, Cycling, Walking)\n- Configurable zone count and maximum travel time sliders\n- H3 resolution control for address density overlays\n- Competitor overlay (red markers) and address density heatmap\n- POI table listing nearby points of interest by category\n- Multi-zone isochrone map with overlapping catchment rings\n\nTo deploy:\n```\n$retail-catchment\n```\n\n### Routing Agent\n\n![Routing Agent Playground](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/oss-install-openrouteservice-native-app/routing_agent.jpg?v=c0b8d2a7)\n\nThe **Routing Agent** demo creates a Snowflake CoWork (Cortex) agent that answers natural language routing queries. Users can ask for directions, estimate travel times, or explore isochrones through a conversational interface with the route rendered live on a map.\n\n**Key features:**\n- Natural language chat interface connected to the ORS routing functions\n- Route results visualized on an interactive map alongside the text response\n- Supports directions, isochrones, and time-distance queries in plain English\n\nTo deploy:\n```\n$routing-agent\n```\n\n\u003C!-- ------------------------ --\u003E\n## SQL Function Reference\n\nAll routing functions are deployed as SQL functions inside the `OPENROUTESERVICE_APP` database and can be called directly from any Snowflake worksheet, notebook, or application. The functions live under `OPENROUTESERVICE_APP.CORE`.\n\n### Function Overview\n\n| Function | Signature | Returns | Description |\n|----------|-----------|---------|-------------|\n| `DIRECTIONS` | `(method VARCHAR, jstart ARRAY, jend ARRAY [, region VARCHAR])` | `TABLE(RESPONSE VARIANT, GEOJSON GEOGRAPHY, DISTANCE FLOAT, DURATION FLOAT)` | Point-to-point directions with route geometry |\n| `DIRECTIONS` | `(method VARCHAR, locations VARIANT [, region VARCHAR])` | `TABLE(RESPONSE VARIANT, GEOJSON GEOGRAPHY, DISTANCE FLOAT, DURATION FLOAT)` | Multi-waypoint directions with route geometry |\n| `ISOCHRONES` | `(method VARCHAR, lon FLOAT, lat FLOAT, range NUMBER [, region VARCHAR])` | `TABLE(RESPONSE VARIANT, GEOJSON GEOGRAPHY)` | Catchment area polygon |\n| `OPTIMIZATION` | `(jobs ARRAY, vehicles ARRAY, matrices ARRAY [, region VARCHAR])` | `TABLE(RESPONSE VARIANT, GEOJSON GEOGRAPHY, VEHICLE NUMBER, DURATION NUMBER, STEPS VARIANT)` | Route optimization (tabular) |\n| `OPTIMIZATION` | `(challenge VARIANT [, region VARCHAR])` | `TABLE(RESPONSE VARIANT, GEOJSON GEOGRAPHY, VEHICLE NUMBER, DURATION NUMBER, STEPS VARIANT)` | Route optimization (raw) |\n| `MATRIX` | `(method VARCHAR, locations ARRAY [, region VARCHAR])` | `VARIANT` | Time-distance matrix (tabular) |\n| `MATRIX` | `(method VARCHAR, options VARIANT [, region VARCHAR])` | `VARIANT` | Time-distance matrix (raw) |\n| `ORS_STATUS` | `([region VARCHAR])` | `VARIANT` | Service health and graph info |\n\n### SQL Examples\n\n\u003E **_NOTE:_** All functions accept an optional `REGION VARCHAR` parameter (defaults to `NULL` = current region). `DIRECTIONS`, `ISOCHRONES`, and `OPTIMIZATION` are table functions — call them with `SELECT * FROM TABLE(func(...))`. `MATRIX` and `ORS_STATUS` are scalar functions — call them with `SELECT func(...)`.\n\n**Directions: Point-to-Point**\n\nCalculate a driving route between two coordinates (longitude, latitude):\n\n```sql\nSELECT * FROM TABLE(OPENROUTESERVICE_APP.CORE.DIRECTIONS(\n    'driving-car',\n    [-122.4194, 37.7749],   -- start: [lon, lat]\n    [-122.4783, 37.8199]    -- end:   [lon, lat]\n));\n-- Returns: RESPONSE (variant), GEOJSON (geography), DISTANCE (float, meters), DURATION (float, seconds)\n```\n\n**Directions: Multi-Waypoint**\n\nRoute through multiple stops by passing a `locations` object as VARIANT using `PARSE_JSON`:\n\n```sql\nSELECT * FROM TABLE(OPENROUTESERVICE_APP.CORE.DIRECTIONS(\n    'driving-car',\n    PARSE_JSON('{\"coordinates\": [\n        [-122.4194, 37.7749],\n        [-122.4078, 37.7941],\n        [-122.4783, 37.8199]\n    ]}')\n));\n-- Returns: RESPONSE (variant), GEOJSON (geography), DISTANCE (float, meters), DURATION (float, seconds)\n```\n\n**Isochrones**\n\nGenerate a polygon showing the area reachable within 10 minutes of driving. Cast `lon` and `lat` to `FLOAT`:\n\n```sql\nSELECT * FROM TABLE(OPENROUTESERVICE_APP.CORE.ISOCHRONES(\n    'driving-car',\n    -122.4194::FLOAT,   -- longitude\n    37.7749::FLOAT,     -- latitude\n    10                  -- range in minutes\n));\n-- Returns: RESPONSE (variant), GEOJSON (geography)\n```\n\n**Optimization: Tabular**\n\nMatch delivery jobs to vehicles using arrays of jobs and vehicles:\n\n```sql\nSELECT * FROM TABLE(OPENROUTESERVICE_APP.CORE.OPTIMIZATION(\n    -- jobs: array of delivery tasks\n    [\n        {'id': 1, 'location': [-122.4194, 37.7749], 'service': 300},\n        {'id': 2, 'location': [-122.4078, 37.7941], 'service': 300},\n        {'id': 3, 'location': [-122.4350, 37.7609], 'service': 300}\n    ],\n    -- vehicles: array of available vehicles\n    [\n        {'id': 1, 'profile': 'driving-car', 'start': [-122.4177, 37.8080], 'end': [-122.4177, 37.8080], 'capacity': [4], 'time_window': [28800, 43200]},\n        {'id': 2, 'profile': 'driving-car', 'start': [-122.3950, 37.7785], 'end': [-122.3950, 37.7785], 'capacity': [4], 'time_window': [28800, 43200]}\n    ],\n    -- matrices (optional, empty array uses ORS to calculate)\n    []\n));\n-- Returns: RESPONSE (variant), GEOJSON (geography), VEHICLE (int), DURATION (int), STEPS (variant)\n```\n\n**Optimization: Raw Variant**\n\nPass a full VROOM-compatible JSON challenge:\n\n```sql\nSELECT * FROM TABLE(OPENROUTESERVICE_APP.CORE.OPTIMIZATION(\n    PARSE_JSON('{\n        \"jobs\": [\n            {\"id\": 1, \"location\": [-122.4194, 37.7749], \"service\": 300},\n            {\"id\": 2, \"location\": [-122.4078, 37.7941], \"service\": 300}\n        ],\n        \"vehicles\": [\n            {\"id\": 1, \"profile\": \"driving-car\", \"start\": [-122.4177, 37.8080], \"end\": [-122.4177, 37.8080], \"capacity\": [4]}\n        ]\n    }')\n));\n-- Returns: RESPONSE (variant), GEOJSON (geography), VEHICLE (int), DURATION (int), STEPS (variant)\n```\n\n**Matrix: Tabular**\n\nCalculate the time and distance matrix between multiple locations:\n\n```sql\nSELECT OPENROUTESERVICE_APP.CORE.MATRIX(\n    'driving-car',\n    ARRAY_CONSTRUCT(\n        ARRAY_CONSTRUCT(-122.4194, 37.7749),\n        ARRAY_CONSTRUCT(-122.4078, 37.7941),\n        ARRAY_CONSTRUCT(-122.4783, 37.8199)\n    )\n) AS matrix;\n```\n\n**Matrix: Raw Variant**\n\nPass full matrix options for advanced control (sources, destinations, metrics):\n\n```sql\nSELECT OPENROUTESERVICE_APP.CORE.MATRIX(\n    'driving-car',\n    PARSE_JSON('{\n        \"locations\": [[-122.4194, 37.7749], [-122.4078, 37.7941], [-122.4783, 37.8199]],\n        \"metrics\": [\"distance\", \"duration\"],\n        \"resolve_locations\": true,\n        \"sources\": [0],\n        \"destinations\": [1, 2]\n    }')\n) AS matrix;\n```\n\n**ORS Status**\n\nCheck service health and available routing profiles:\n\n```sql\nSELECT OPENROUTESERVICE_APP.CORE.ORS_STATUS() AS status;\n```\n\n### Native GEOGRAPHY Output\n\n`DIRECTIONS`, `ISOCHRONES`, and `OPTIMIZATION` are table functions that return a `GEOJSON GEOGRAPHY` column directly alongside the full `RESPONSE VARIANT`. There are no separate `_GEO` wrapper functions — geography output is built in.\n\n| Function | GEOGRAPHY column | Additional columns |\n|----------|------------------|--------------------|\n| `DIRECTIONS` | `GEOJSON` — route LineString | `DISTANCE` (meters), `DURATION` (seconds) |\n| `ISOCHRONES` | `GEOJSON` — catchment Polygon | — |\n| `OPTIMIZATION` | `GEOJSON` — vehicle route LineString | `VEHICLE` (id), `DURATION` (seconds), `STEPS` (variant) |\n\n### Geospatial Integration Patterns\n\nThe `GEOJSON GEOGRAPHY` column returned by `DIRECTIONS`, `ISOCHRONES`, and `OPTIMIZATION` can be chained directly with Snowflake's built-in geospatial functions:\n\n**Route length in kilometers:**\n\n```sql\nSELECT\n    ST_LENGTH(GEOJSON) / 1000 AS route_length_km,\n    DISTANCE / 1000 AS ors_distance_km,\n    DURATION / 60 AS duration_minutes\nFROM TABLE(OPENROUTESERVICE_APP.CORE.DIRECTIONS(\n    'driving-car', [-122.4194, 37.7749], [-122.4783, 37.8199]\n));\n```\n\n**Isochrone area in square kilometers:**\n\n```sql\nSELECT\n    ST_AREA(GEOJSON) / 1000000 AS catchment_area_sq_km\nFROM TABLE(OPENROUTESERVICE_APP.CORE.ISOCHRONES(\n    'driving-car', -122.4194::FLOAT, 37.7749::FLOAT, 15\n));\n```\n\n**Check if a point falls within an isochrone:**\n\n```sql\nSELECT\n    ST_WITHIN(\n        ST_MAKEPOINT(-122.4078, 37.7941),\n        GEOJSON\n    ) AS is_reachable\nFROM TABLE(OPENROUTESERVICE_APP.CORE.ISOCHRONES(\n    'driving-car', -122.4194::FLOAT, 37.7749::FLOAT, 10\n));\n```\n\n\u003C!-- ------------------------ --\u003E\n## ORS Configuration\n\nThe routing solution is configured via the `ors-config.yml` file which controls:\n\n**Map Source File**\n```yml\nors:\n  engine:\n    profile_default:\n      build:  \n        source_file: /home/ors/files/SanFrancisco.osm.pbf\n```\nThe default deployment uses San Francisco. When you customize the map region, this path is updated automatically.\n\n**Routing Profiles**\n\nThe configuration defines which routing profiles are available for routing:\n\n| Profile | Description | Default |\n|---------|-------------|---------|\n| `driving-car` | Standard passenger vehicle | ✅ Enabled |\n| `driving-hgv` | Heavy goods vehicle (trucks) | ✅ Enabled |\n| `cycling-road` | Road bicycle | ❌ Disabled |\n| `cycling-regular` | Regular bicycle | ❌ Disabled |\n| `cycling-mountain` | Mountain bicycle | ❌ Disabled |\n| `cycling-electric` | Electric bicycle | ✅ Enabled |\n| `foot-walking` | Pedestrian walking | ❌ Disabled |\n| `foot-hiking` | Hiking trails | ❌ Disabled |\n| `wheelchair` | Wheelchair accessible | ❌ Disabled |\n\n\u003E **_NOTE:_** Enabling more profiles increases graph build time and compute resource usage. The default configuration covers most delivery and logistics use cases.\n\n**Optimization Limits**\n\nThe config also controls route optimization capacity:\n```yml\n    matrix:\n      maximum_visited_nodes: 100000000\n      maximum_routes: 250000\n```\nThese settings support complex route optimizations with many vehicles and delivery points.\n\n\u003C!-- ------------------------ --\u003E\n## Customize Your Deployment\n\nAll the customization (location, routing profiles) can be managed via the application itself in the region builder section.\n![region_builder](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/oss-install-openrouteservice-native-app/region_builder.png?v=c0b8d2a7)\n\nJust use the UI to configure different locations and vehicle. Below example for New York. \n![region_builder_example](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/oss-install-openrouteservice-native-app/region_builder_example.png?v=c0b8d2a7)\n\n\u003C!-- ------------------------ --\u003E\n## Uninstall the Route Optimizer\n\nSnowflake CoCo makes uninstallation simple with natural language commands.\n\n### Uninstall demo\n\nTo remove the Snowflake objects installed as part of the demo you can type in Snowflake CoCo CLI:\n\n```\n$routing-solution-cleanup\n```\n\nOr drop the objects manually:\n\n```sql\nDROP DATABASE IF EXISTS OPENROUTESERVICE_APP;\nDROP DATABASE IF EXISTS SYNTHETIC_DATASETS;\nDROP DATABASE IF EXISTS FLEET_INTELLIGENCE;\nDROP WAREHOUSE IF EXISTS ROUTING_ANALYTICS;\n```\n\nThis will remove:\n- The `OPENROUTESERVICE_APP` database (including all stages, functions, and SPCS services)\n- The `SYNTHETIC_DATASETS` and `FLEET_INTELLIGENCE` databases (seed data and fleet demos)\n- The `ROUTING_ANALYTICS` warehouse\n\n\u003E **_NOTE:_** The `routing-solution-cleanup` skill auto-discovers all objects created by the skills via COMMENT tracking tags, so it will also clean up any demo objects (fleet intelligence, route deviation, retail catchment, etc.).\n\n\u003C!-- ------------------------ --\u003E\n## Conclusion and Resources\n### Conclusion\n\nYou've just deployed a **self-contained routing solution** in Snowflake using natural language commands - no complex configuration files, no external API dependencies, and no data leaving your Snowflake environment.\n\nThis solution demonstrates the power of combining:\n- **Snowflake CoCo** - AI-powered CLI that turns natural language into automated workflows\n- **Snowpark Container Services** - Running OpenRouteService as a self-managed routing engine\n- **SQL-Callable Functions** - Routing functions for directions, optimization, isochrones, and time-distance matrix\n\n### What You Learned\n\n- **Deploy with Snowflake CoCo** - Use natural language skills to automate complex Snowflake deployments including container services, stages, and compute pools\n\n- **Self-Managed Route Optimization** - Run OpenRouteService entirely within Snowflake with no external API calls, giving you unlimited routing requests and complete data privacy\n\n- **Flexible Customization** - Use skills to customize location (any city in the world) and vehicle types (car, HGV, bicycle, walking)\n\n- **Four Routing Functions:**\n    - **Directions** - Point-to-point and multi-waypoint routing\n    - **Optimization** - Match delivery jobs to vehicles based on time windows, capacity, and skills\n    - **Isochrones** - Generate catchment polygons showing reachable areas\n    - **Time-Distance Matrix** - Calculate travel time and distance matrices between multiple locations\n\n- **Native GEOGRAPHY Output** — `DIRECTIONS`, `ISOCHRONES`, and `OPTIMIZATION` return route and polygon geometry as a native `GEOGRAPHY` column directly — no JSON parsing or wrapper functions needed\n\n### Related Resources\n\n#### Source code\n\n- [Source Code on Github](https://github.com/Snowflake-Labs/sfguide-Create-a-Route-Optimisation-and-Vehicle-Route-Plan-Simulator)\n\n#### OpenRouteService Resources\n\n- [OpenRouteService Official Website](https://openrouteservice.org/) - Documentation, API reference, and community resources\n- [OpenRouteService on GitHub](https://github.com/GIScience/openrouteservice) - Source code and technical documentation\n- [VROOM Project](https://github.com/VROOM-Project/vroom) - Vehicle Routing Open-source Optimization Machine powering route optimization\n\n#### Snowflake CoCo\n\n- [Snowflake CoCo](https://docs.snowflake.com/en/user-guide/cortex-code/cortex-code) - Snowflake's AI-powered CLI and agentic interface\n- [Snowpark Container Services](https://docs.snowflake.com/en/developer-guide/snowpark-container-services/overview) - Run containerized workloads natively in Snowflake\n\n#### Map Data Sources\n\n- [Geofabrik Downloads](https://download.geofabrik.de/) - Country and region OpenStreetMap extracts\n- [BBBike Extracts](https://extract.bbbike.org/) - City-specific OpenStreetMap extracts for faster processing","multiValue":false,":type":"text/x-markdown"},"quickstartArticleLogoImage":{"dataType":"string","title":"Quickstart Article Logo Image","multiValue":false,":type":"text/plain"}},"elementsOrder":["quickstartArticleBody","quickstartArticleLogoImage"],"isDeveloperGuidesPage":false,"model":"snowflake-site/models/quickstart-article"},"flexible_column_cont":{"id":"flexible-column-container-3aa311b11a","type":"2-column-75-25","alignColumns":"top","containerMaxWidth":"extra-large","topPadding":"none","bottomPadding":"none","spaceBetween":"none","reverseOnMobile":false,"carouselOnMobile":false,"backgroundImageOption":"none","flexible_column_content_container_1":{"layout":"SIMPLE","id":"container-4ae6dbf91e",":items":{"quickstart_last_modi":{"id":"quickstart-last-modified-d433a591f5","icon":{"id":"icon","icon":"calendar",":type":"snowflake-site/components/icon","appliedCssClassNames":"snowflake-icon-blue"},"lastModifiedDatePrefix":"Updated","lastModifiedDate":"2026-04-17",":type":"snowflake-site/components/quickstart/quickstart-last-modified","appliedCssClassNames":"snowflake-responsive-component-top-padding-small"},"text":{"id":"text-28feacc2af","additionalClasses":"qs-disclaimer-text","text":"\u003Cp\u003E\u003Cspan style=\"color: #666;\"\u003EThis content is provided as is, and is not maintained on an ongoing basis. 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