Agentic Commerce Puts Data Quality at the Center of Retail’s Next Era

Why It Matters

Retailers that cannot deliver real‑time, high‑quality data to AI agents will fall behind as consumer purchasing shifts to autonomous platforms, reshaping revenue and loyalty models.

Key Takeaways

• Fetch Rewards processes ~13 million receipts daily on Snowflake.
• Third largest transactional GMV data source after Walmart, Amazon.
• AI agents now auto‑resolve missing points without human tickets.
• Natural language interface lets brands query sales data in real time.
• Agentic commerce demands instant, scalable data access for retailers.

Pulse Analysis

The rise of agentic commerce marks a fundamental shift in how consumers acquire goods. Instead of browsing websites, personal AI agents now scout, compare, and purchase items on behalf of users. Industry analysts at Bain predict that full agent‑to‑agent transactions could eventually bypass traditional retail interfaces altogether, making data the new storefront. For retailers, this means that the speed, accuracy, and accessibility of transactional data are no longer back‑office concerns but front‑line differentiators that determine market relevance.

At the heart of this transformation is Snowflake’s AI Data Cloud, which Fetch Rewards has adopted to power its rewards marketplace. With roughly 13 million active users and an equal number of receipts processed each day, Fetch’s platform sits behind only Walmart and Amazon in terms of raw transactional GMV data. By coupling Snowflake’s scalable architecture with a purpose‑built data model, Fetch enables AI agents to automatically resolve issues—such as missing reward points—without human intervention. Moreover, the natural‑language interface translates brand queries into instant SQL responses, giving marketers real‑time insight into basket sizes, buy‑out rates, and emerging trends.

For the broader retail ecosystem, the message is clear: data readiness is the gating factor for any AI‑driven initiative. Retailers must invest in clean, unified data pipelines that support real‑time querying and automated decision‑making. As AI agents become the primary purchasing conduit, brands that can feed these agents high‑quality, actionable data will secure loyalty, drive incremental sales, and stay ahead of the next wave of commerce. The urgency is palpable—those that delay risk losing relevance in an era where the consumer’s digital assistant makes the final buying call.