{"id":39,"date":"2026-09-10T07:30:46","date_gmt":"2026-09-10T05:30:46","guid":{"rendered":"https:\/\/dt-pm.eu\/ai\/dt-ai-sale-assistant\/"},"modified":"2026-09-28T21:26:50","modified_gmt":"2026-09-28T19:26:50","slug":"dt-ai-sale-assistant","status":"publish","type":"page","link":"https:\/\/dt-pm.eu\/en\/ai\/dt-ai-sale-assistant\/","title":{"rendered":"DT-PM AI Sale Assistant for WooCommerce"},"content":{"rendered":"\n
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WordPress plugin for purchase advice<\/p>\n\t\t

Purchase advice for WooCommerce that works from day one.<\/h1>\n\t\t

DT-PM AI Sale Assistant for WooCommerce builds its own transparent decision model for each of your product categories: which questions really matter, in which order, with which weight. You review and change that model yourself before it goes live.<\/p>\n\t\t

\n\t\t\tView pricing<\/a>\n\t\t\tWhat leaves your shop<\/a>\n\t\t<\/div>\n\t<\/div>\n<\/section>\n\n\n\n
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The problem with conventional product recommendation<\/h2>\n\t

Most AI recommendation systems need months of purchase behaviour before they make good suggestions. Or they search product descriptions for keywords without grasping what actually decides a purchase.<\/p>\n<\/section>\n\n\n\n

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A real decision model instead of plain keyword search<\/h2>\n\t
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Useful from day one<\/h3>\n\t\t\t

The recommendations rest on a model of your categories, not on collected behaviour of earlier visitors. There is therefore no run-up period with too little data for usable suggestions.<\/p>\n\t\t<\/div>\n\t\t

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You review the model before it goes live<\/h3>\n\t\t\t

The causal chain of a subcategory \u2014 what actually decides the purchase \u2014 is proposed and approved by you. You see and change what the advice rests on. No guesswork, no black box.<\/p>\n\t\t<\/div>\n\t\t

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Prices and availability come live from the shop<\/h3>\n\t\t\t

What the assistant says about price and stock is fetched from WooCommerce at the moment of the answer. There is no second price store that can go stale.<\/p>\n\t\t<\/div>\n\t<\/div>\n<\/section>\n\n\n\n

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How setting it up works<\/h2>\n\t
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  1. Map your categories.<\/strong> You map your existing shop categories to the topics that actually matter for advice.<\/li>\n\t\t
  2. Review the decision model.<\/strong> A draft is created for each category, which you read, adjust and confirm before it is used.<\/li>\n\t\t
  3. Have your products processed.<\/strong> Your catalogue is prepared on that basis so the assistant can make suitable suggestions.<\/li>\n\t<\/ol>\n\t

    Everything keeps running in the background, even when you leave the page. Long waiting times do not hold you up.<\/p>\n<\/section>\n\n\n\n

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    What your customers see<\/h2>\n\t

    A chat window right in the shop. A question such as \u201cI am looking for a robust gin to drink neat\u201d leads to a specific, reasoned recommendation from your own range \u2014 with real, current prices and availability, not invented ones.<\/p>\n<\/section>\n\n\n\n

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    What the plugin does<\/h2>\n\t
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    Advise in the shop<\/h3>\n\t\t\t