The problem
worth exploring.
Shoppers describe what they need differently from the terms stored in a catalogue. Conventional filters can miss intent, while unsupported AI answers risk inventing product details.
Commerce & discovery / CONCEPT STUDYShopSense
ShopSense
A catalogue that understands the question.
A shopping assistant concept combining natural-language discovery with verified catalogue information.
PROJECT TYPEFictional AI concept
STATUSExploratory design study
ENGAGEMENTNot a client project
The problem
A clearer way
to move forward.
ShopSense proposes hybrid retrieval across product attributes, guided clarification and comparisons grounded in actual catalogue fields. Stock and prices would come from the commerce system.
03 / THE PRODUCT, BROKEN DOWN
Guided discovery
Translate shopper preferences into a structured catalogue search.
Product comparisons
Show relevant differences using verified product attributes.
Policy answers
Explain delivery and return information from approved store policies.
Merchant controls
Manage source content and review unsuccessful searches.
04 / POSSIBLE TECHNICAL DIRECTION
A system around
the intelligence.
These are proposed technology directions for the concept. The actual stack, data flow and model would be selected after requirements and feasibility are assessed.
Product experience
Application & permissions
Models & approved data
05 / HOW WE WOULD EVALUATE IT
Define success.
Then test for it.
Evaluation criteria for a future prototype. No achieved metrics or business outcomes are claimed.
Catalogue grounding
Check that answers refer only to products and attributes in the source.
Search usefulness
Evaluate discovery results against representative shopper needs.
Commercial consistency
Verify prices and availability against the source system before display.
About this concept
Products, conversations and store data are invented for this concept. No conversion uplift or sales result is claimed.
LET’S BUILD WHAT’S NEXT
Let’s explore your version of ShopSense.
Tell us what you want to make possible. We’ll start with the problem and find the right next step.