Business Simulation

AI-assisted Search

A sports store search that understands plain language: “black running shoes under $100 for women” becomes visible filter chips for colour, category, price and gender, with typo correction, synonyms, instant results, recent and trending searches. It is honestly labelled Simulated AI — everything runs locally on 40 seeded products.

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Use the Live / Loading / Empty / Error switch at the top of the demo to see every state.

Why it matters

Shoppers find what they mean, not just what they type, so fewer searches end in “no results” and more end in the bag.

How it works

01A local parser turns the query into filters (category, colour, gender, price ranges like under/over/between/around, size, rating, in stock, sort) and shows each as a removable chip.
02Typos are corrected with edit-distance matching (“runing” → running) and synonyms expand the search (trainers, rain → waterproof), with a note explaining what changed.
03Results update as you type with highlighted matches and measured latency; if nothing matches, the most restrictive filter is relaxed and flagged. Recent searches persist, and trending and example queries are one tap away.

Simulation

This demo simulates external services with sample data in your browser. In a real project it connects to your own systems and providers.