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AI for search, personalisation and retail media

A different store for every customer.

Bring what each shopper wants together with what your business needs.

Search, recommendations, retail media and promotions across your digital store and AI shopping experiences.

Home and Furniture Discovery Requirements | PA

Plan home and furniture product discovery with category-specific data, eligibility checks, failure examples and practical evaluation questions.

Plan home and furniture product discovery with category-specific data, eligibility checks, failure examples and practical evaluation questions.

Home and furniture product discovery

Help shoppers connect a design idea with products that fit their space and delivery needs. Product dimensions, material, variant and fulfilment conditions should remain explicit throughout discovery.

## Make practical constraints searchable Use consistent units for product and package dimensions. Keep assembled measurements separate from shipping dimensions. Define how the storefront handles a request containing a maximum width or another strict constraint.

## Distinguish style from suitability Visual or descriptive similarity can help a shopper explore. It does not prove that an item fits a space or serves the same practical purpose. Show the documented attributes that matter to the decision.

## Connect products carefully For a room set or complementary recommendation, record the intended relationship and check stock, colour variants and fulfilment. Avoid a bundle presentation that hides a missing component or a separate delivery condition.

## Test a realistic buying journey Include a dimension-sensitive query, a colour variant change and an item with a delivery restriction. Compare the result displayed in search with the product and cart experience. Document the fallback when essential data is missing.