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Convert High‑Intent Searches

Shoppers who use the search bar show the clearest buying intent, but keyword search only matches the words the catalog uses. The result is a wall of results or nothing, and shoppers leave.

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Finding the right product is too hard

Keyword search, too many filters, and navigation menus don’t adapt to what a shopper is actually trying to find. So they guess, get it wrong, and often leave before finding it. With iAdvize, there is a better way.

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Discovery, made simple

iAdvize turns product discovery into a conversation with AI Search. The AI Shopping Assistant reads shopper context and recommends specific SKUs from your live catalog, the way a good in-store expert would.

  • Understand

    The assistant gathers context and identifies what the shopper is looking for instead of waiting for the perfect search term.

  • Refine

    It filters your catalog in real time against that intent, using product discovery capabilities to narrow down the best results.

  • Recommend

    It surfaces the specific products that fit directly within the conversation, and moves the shopper forward with easy add-to-cart.

Building the future of agentic commerce

iAdvize helps brands launch a new storefront experience with the #1 AI Shopping Assistant for agentic commerce. We’ve analyzed millions of interactions, managed product catalogs of every size across e‑commerce verticals, and understand what drives buying decisions throughout the shopper journey.

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AI Shopping Assistant
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The impact, in numbers

  • 60%

    click-through rate on suggested products

  • 10x

    more engagement compared to traditional chatbots

  • Up to 25%

    of revenue contribution influenced by AI-engaged sessions

In their words

Users are getting used to talking to AI in natural language. Going back to an e-commerce site where you have to type keywords will quickly feel anachronistic.

Edouard Wattel - VP Digital & e-commerce @Samsonite - Author - Resources

Edouard Wattel

VP Digital & E-commerce Europe

2.2x Incremental ROI proven by A/B test

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