Product finder AI helps shoppers describe what they need and narrow a catalogue into useful options. It works best when the store has clean product attributes and clear rules for what counts as a good match.
Useful discovery questions
Good product finder flows ask about use case, size, budget, material, compatibility, urgency, and any constraints that affect suitability.
Ground the shortlist
Recommendations should be tied to product feed data and product pages. If the system cannot support a shortlist, it should explain what information is missing.
Use it alongside human support
For complex stores, the best outcome may be a shortlist plus a handoff containing the shopper context, not a fully automated final recommendation.
Next step
Start with Product Advisor Growth if shoppers often need help narrowing a catalogue before they buy.