Technical Deep Dive
Merchant Console: Turn Product Questions into Better Knowledge
Your analytics can tell you which product page a shopper opened and whether they bought. They rarely explain the question that held the decision up. Did the shopper need to check compatibility, compare two materials or understand whether a product suited a particular use? Those questions are valuable product knowledge, provided they are handled with the right evidence and controls.
Merchant Console is the review surface of AI Product Data Platform. It helps a merchant see where its existing catalog leaves important questions unanswered, examine proposed knowledge improvements and decide what is authorized for use across AI-assisted shopping journeys.
A catalog record is a starting point
A product page may list dimensions, ingredients or technical specifications without explaining when each detail matters. A shopper might ask whether a replacement part fits a particular model. The answer should not be inferred from similar-looking products or from a language model's confidence. It needs a reliable source, an exact product or variant match and a clear boundary when the evidence is insufficient.
Questions asked through Brand Agent can expose these gaps. Other permitted sources, including the merchant's own documentation and relevant public product evidence, can add context. Neither a shopper question nor an external source becomes approved product truth automatically.
From a signal to an approved answer
AI Product Data Platform is built around a controlled sequence:
- Identify a missing answer, recurring objection or product comparison that matters to shoppers.
- Gather candidate information with a link back to its source and the exact product it concerns.
- Present the proposed improvement in Merchant Console for the merchant to review, edit or reject.
- Make approved knowledge available in the merchant-specific Mirror Catalog and to the authorized surfaces that need it.
Sourcing Agent collects relevant information, while Product Engine prepares enrichment proposals. Merchant Console is where the merchant keeps authority over what becomes usable product knowledge. The goal is to reduce repetitive catalog work without turning uncertain claims into published facts.
Useful signals, not a magic ROI number
Questions can help a team prioritize its product-content work. If shoppers repeatedly ask about care instructions, compatibility or what comes in the box, that is a reason to investigate the relevant records. It is not proof that the missing information caused a lost sale. Likewise, an order following an assistant interaction is an assisted order, not automatically incremental revenue.
Product-knowledge quality and commercial impact therefore deserve separate checks. The first asks whether the answer is correct, sourced, current and approved. The second asks whether a well-designed comparison can detect a change in shopper outcomes, with enough data and a valid control. A dashboard alone cannot settle either question.
Start with a real product question
The most revealing demo starts with a product that your customers find hard to choose. Bring its catalog page, any supporting documentation and two or three questions your team answers often. We can show how the knowledge behind those answers is organized, reviewed and reused, without asking you to replace your existing catalog or checkout.
Request a demo or explore AI Product Data Platform.
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