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70% of traffic is mobile · most search UX fails them

AI Product Discovery
for Mobile Shoppers

On mobile, traditional search is a dead end: small keyboard, autocomplete that guesses wrong, filter menus that take 8 taps to navigate. AI chat lets shoppers describe what they want in one sentence and get the right product immediately.

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Why mobile search fails shoppers

Keyword-only search

"Blue dress under 100" returns 340 results sorted by default ranking. The shopper gives up at result 12.

Filter UX on small screens

Category → Price → Color → Size → Sort — each one a tap. Most mobile users abandon the filter flow entirely.

Spelling mistakes kill results

"Linin shirt" returns nothing. The shopper doesn't know if the product exists or if their search was wrong.

No context retention

Search is stateless. "Now show me the same but in XL" requires starting over. AI remembers the conversation.

What AI chat does differently

1

Natural language understanding

"Something comfortable for a beach holiday, not too formal, around €60" — AI parses intent, budget, occasion, and formality in one pass and returns 2–3 perfect matches.

2

Typo and synonym tolerance

AI understands "linin", "chiffon-y", and "that flowy kind" the same way a good sales associate would. No zero-result dead ends.

3

Stateful conversation

"Now show me the same but in green" works. AI carries context across messages — the shopper never has to repeat themselves.

4

Thumb-friendly interface

Chat is the native mobile input pattern. One text box, one message, one result. No menus, no filters, no back navigation.

Related guides

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