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    AI e-commerce that recommends products on its own

    How to build a store where every customer sees a different selection — and the average basket grows by 35%.

    MartinOct 17, 20266 min read
    AI e-commerce that recommends products on its own

    AI e-commerce that recommends products on its own

    Amazon has done it for 20 years. Today you can too — without a team of data engineers. AI turns a regular online store into a personalized experience that grows average order value by 25–40%.

    The principle is simple: AI tracks what a visitor browses, what they buy, how long they hesitate. Then it offers exactly what they're most likely to buy. No spam, just relevant recommendations.

    Our implementation includes: a homepage that adapts to history, "frequently bought together" sections, abandoned-cart emails with AI personalization and a chatbot that actually helps. All hooked into standard e-commerce platforms.

    Real result from a fashion client: +35% average basket, +18% conversion, -22% abandoned carts. ROI on the AI extension: 6 weeks.

    If you have a store and want to squeeze more out of it — without buying more ads — let's talk. We'll show you concrete numbers you can expect in your segment.

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