Merchant Feed
Definition
A merchant feed is a structured dataset that describes merchant-level commerce information such as pricing, availability, delivery, and policy signals. It helps shopping and AI systems evaluate a retailer as well as its products.
A merchant feed is a broader structured dataset that describes not just products, but merchant-level commerce information such as pricing, availability, shipping, return policies, store attributes, and other signals needed by downstream shopping systems. In agentic commerce, merchant feeds help AI systems assess whether a retailer is credible, comparable, and ready for transaction handoff.
Use Case
A retailer exposes not only product records, but also delivery windows, return terms, pickup availability, loyalty eligibility, and seller details. This gives a shopping agent enough information to compare the merchant alongside the product before recommending a purchase path.
Why It Matters
Commerce decisions are not only about the item. Merchant feeds matter because AI systems also need to compare fulfillment quality, return conditions, trust, and transaction readiness when deciding which seller to surface.
Today's E-commerce Impact
Merchant-level structured data already shapes performance in shopping engines and retail platforms. In AI-assisted buying, its importance grows because agents need merchant context, not just item data, to make credible recommendations.
Future Evolution
Expect merchant feeds to expand into richer operational profiles for agents, covering delivery quality, policy transparency, offer freshness, and other trust or transaction signals that influence recommendation quality.
FAQ
- What is a merchant feed?
- A merchant feed is structured data about a retailer or seller, often including product availability, shipping information, return policies, and other operational signals that external systems use to evaluate merchant quality.
- How is a merchant feed different from a product feed?
- A product feed focuses on the item itself. A merchant feed adds seller-level context such as delivery, return, and service signals that help an agent decide whether a merchant is a good buying option.
- Why does a merchant feed matter in agentic commerce?
- Because AI systems need more than item attributes. They also need enough merchant context to judge trust, fulfillment quality, and whether the buying path is worth recommending.
Related Concepts
Explore adjacent terms to understand how this concept connects to AI shopping agents, commerce infrastructure, and autonomous transactions.