for retailers
Your customers are about to stop shoppingtheir ai will do it for them
The path to purchase is being rewritten, not in years, but in months. Discover how leading Australian retailers are building the data foundation to compete in a world where AI agents discover, negotiate, and buy on behalf of consumers. Are you ready for agentic commerce?
How Agentic Commerce and AI Are Redefining the Future of Retail
Discover the most important insights, innovations, and disruptions unveiled at NRF 2026: Retail’s Big Show—interpreted through the unique lens of the Asia-Pacific (APAC) market. In this exclusive Snowflake virtual event, our retail and data leaders break down the global trends set to redefine customer engagement, retail operations, AI-driven personalisation, supply chain resilience, and the new era of unified commerce.
Overview
Build the Data Foundation for Agentic Commerce
AI agents don't browse. They query. They compare. They transact — in milliseconds, across millions of products, with zero brand loyalty unless your data earns it. The retailers who win in this new model aren't the ones with the best storefront. They're the ones whose product data, customer intelligence, and decision-making infrastructure are fast enough, rich enough, and trusted enough to be chosen by an algorithm. Here's what that takes.
Make Every Product Discoverable by AI
AI agents evaluate products on structured data — not packaging, not shelf placement. A unified product catalogue that connects specs, pricing, availability, reviews, and enrichment data across every channel gives your products the best chance of being recommended, ranked, and purchased — whether the buyer is human or machine.
Know the Shopper Before the Agent Does
When a personal AI agent negotiates on behalf of a consumer, it carries context — purchase history, preferences, budget constraints. Retailers who've already built a unified, real-time shopper profile can meet that agent with a personalised offer before a competitor even gets the chance.
Put Intelligence Where Your Data Already Lives
Build, train, and run AI models directly on your data — no extraction, no movement, no waiting. From demand sensing and dynamic pricing to natural-language queries for your category teams, Cortex AI turns your data warehouse into a decision engine that works at the speed agentic commerce demands.
Use Cases
Transform every data point intoa business opportunity
Maximize customer value
Create hyper-personalized customer experiences with actionable insights
Consolidate all consumer interactions into a single, unified profile to understand customer buying behaviors, preferences and engagement history.
Enable hyper-personalized experiences to drive customer loyalty and increase customer lifetime value.
Accelerate business growth
Maximize profitability with balanced pricing, promotions and product mix
The AI Data Cloud combines your internal business data with external market data, applies AI-powered predictive analytics and integrates actionable insights seamlessly into your existing decision-making processes.
Optimize costs
Streamline supply chain with intelligent inventory management and route optimization
Gain end-to-end visibility across supply chain operations to upgrade inventory and logistics, reduce waste and adjust quickly to demand fluctuations.
Empower decision makers
Bring clarity into every decision with accessible data and conversational BI.
Enable transparency, streamline decision-making, and foster a data-driven culture across the organization by delivering trustworthy data insights that every leader can act on.
Govern What Gets Shared — and What Doesn't
Agentic commerce means more data flowing between more systems, more partners, and more AI interfaces. Horizon gives you fine-grained control over who accesses what, with built-in compliance, lineage tracking, and security enforcement — so you can open up to the ecosystem without opening up risk.
Collaborate With Partners Without Giving Away the Keys
Joint promotions with CPG brands. Retail media attribution with ad partners. Shared supply chain signals with distributors. Data Clean Rooms let you run analyses across organisations on combined datasets — without either party ever seeing or copying the other's raw data.
Let Every Team Ask Questions, Not Just the Data Team
Category managers, buyers, store ops — the people closest to the decisions shouldn't need SQL to get answers. Snowflake Intelligence lets anyone in your organisation ask questions in plain language and get data-backed answers in seconds. That's how you scale insight across an entire retail operation.
