CUSTOMER STORIES
United States Cold Storage Transforms Logistics Solutions with AI
This premier storage and logistics company uses Snowflake on Microsoft Azure to power AI innovation with quality, curated data.
Industry
ManufacturingLocation
Camden, New JerseyStory highlights
- Building a stronger data foundation: Implementing a scalable data strategy with Snowflake on Azure, U.S. Cold Storage has accelerated queries and improved efficiency across its data estate.
- Bringing AI into production: With Microsoft Copilot Studio and Snowflake Cortex AI, U.S. Cold Storage developed solutions that allow enterprise users to answer customer questions using natural language.
- Boosting near real-time data analysis: Since improving data quality and curation with Snowflake, U.S. Cold Storage has achieved ongoing AI innovation at scale.
Video Transcript
This transcript was automatically generated
To be able to run queries faster, to be able to access data easily. So that's going to be the primary driver behind how we are going to be implementing our next data strategy for the next couple of years.
My name is Ravi Balike. I am the Senior Manager at United States Cold Storage. When you think about the business of a cold storage, it is a third-party logistics company. This whole warehouse management is a technology platform. We need to make sure that we have the complete up-to-date inventory of the products from our customers. Store it in the right place, in the right locations. And each location gets marked with a location ID. So all of these, we need to make sure that the data points are collected. We need to make sure that there's technology involved, everything gets tracked through the RFID within the warehouse. The efficiency matters so much.
The great thing about our company is that now we are using Snowflake. And with Snowflake, we are bringing data across from all the different warehouse management systems. Why can't we leverage that data and be able to answer the questions? And if you are able to answer those questions using natural language, using gen AI technology, I think that's really will put us ahead. Obviously, Snowflake is the place where we have the data, and the question then becomes, okay, how do we do it?
It was a natural choice for us to choose Microsoft Copilot Studio and Cortex AI solution from Snowflake. Because we already had Microsoft and Snowflake technology with us. The strategy absolutely involves making sure that we have quality data in our data warehouse platform in real time. You have to have curated data for the AI to function properly. Beyond everything else and beyond the technology, we had to make sure that the data is well-curated. With that, we'll be leveraging Snowflake more and more to be able to make sure we have curated data to be able to support the AI.
