Product discovery starts with your industry’s decisions

The right result depends on what the shopper is trying to buy and which products your business can supply. Explore the data, constraints and evaluation questions that matter for your retail category. Use the linked guides to turn those requirements into a practical implementation brief.

## Choose the retail journey you need to improve Grocery requires a clear connection between a shopping request and the chosen store’s eligible products. Fashion adds size, style and variant decisions. Beauty asks for careful attribute and shade handling. Electronics needs product identifiers and explicit compatibility relationships. Home purchases depend on dimensions, delivery and product suitability. Marketplaces must connect product discovery with seller offers and fulfilment conditions.

## Bring representative examples For your first discussion, collect queries, products and journeys that currently disappoint customers. Include examples that should return a specific item and examples that should exclude an unsuitable result. Add the data needed to explain the difference.

## Agree how to evaluate the change Define the shopper task, a measurable outcome and the operational constraints. Request a demonstration using representative data, then separate relevance checks from the live experiment used to evaluate commercial performance. The pages below outline a starting point for each industry.

Frequently asked questions

Are the requirements different for every industry?

Some integration and measurement checks are shared, but the product constraints differ. Build your evaluation around actual buying tasks and failure cases from your category instead of changing only the industry name on a generic checklist.

Do these examples confirm every feature is available?

No. They define questions and behaviours to evaluate. Confirm the supported data fields, workflows and contractual scope for the proposed deployment using current documentation and a representative demonstration.

What evidence should we bring?

Bring representative catalogue records, queries, eligibility rules and examples of results that should fail. Include the operational owner for each constraint so the test can establish both correct behaviour and responsibility for maintaining it.