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MxChat WooCommerce

Version 1.7.2 · Updated 5 days ago

An AI sales assistant for your WooCommerce store. Customers chat naturally about products and the AI renders shopping cards, adds to cart, recommends complements, retrieves orders, and runs intelligent filtered search — all in conversation.

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Features

  • Product Card Intent — chat-rendered product cards with image, name, price, and an "Add to Cart" button right inside the conversation.
  • Add to Cart Intent — AI identifies the right product from natural language ("add it", "that one", "the red one") and drops it in the customer's cart.
  • Intelligent Filtered Product Search — queries like "show me products under $30", "red shoes in stock", or "laptops between $500 and $1000" auto-extract price ranges, categories, attributes, and search terms.
  • Product Recommendation Intent — up to 4 AI-curated recommendations based on the customer's order history, current cart, and ongoing conversation. Includes images, prices, and the AI's reasoning.
  • Order History Intent — customers ask about past orders by date, product, or status and get instant answers without leaving the chat.
  • Checkout Intent — chat guides customers from product discovery straight to the checkout page seamlessly.
  • Multilingual support — works in any language, responds in the visitor's language. Filtered search handles non-English queries too.
  • Hybrid search engine — vector-based trigger detection + AI filter extraction + optional semantic re-ranking for relevance, with manual price validation so only correctly-priced products appear.

What's new

Version 1.7.2

  • New Chat sales attribution. Orders placed after a customer interacts with the chatbot are tagged with a "Source: MxChat" marker — see the new Source column on WooCommerce → Orders, plus a count + revenue readout on the WooCommerce → Sales Attribution screen. Orders containing a product the bot surfaced or added to the cart get a star, so you can finally measure whether the chatbot is driving sales. On by default; can be turned off in settings.
  • New Filter the WooCommerce → Orders list by chat source. A new dropdown above the orders table narrows the list to chat-attributed orders — or only those containing a bot-recommended product — on both the modern (HPOS) and classic order screens.
  • New Download attributed orders as a CSV. Two buttons on the Sales Attribution screen export every chat-attributed order (all time, or last 30 days) with date, status, total, chat source, session, and the bot-recommended products — ready for a spreadsheet.
  • Improved Attribution now covers every way the bot can surface a product. The Featured Products Showcase and the automatic product cards (shown when the bot mentions products from your catalog) now count as chat touches too, so bot-recommended attribution is complete rather than limited to recommendations, searches, and cart actions.
  • New Product tags are now indexed into the knowledge base alongside categories. The chatbot can answer tag-scoped questions like "show me your vegan products" or "anything gluten-free" without you having to repeat tag values in the description.
  • Improved Filtered product search now understands tag-scoped queries. Ask the bot "show me your vegan products under $30" and it extracts both the tag and the price as structured filters, instead of falling back to a plain keyword search.
  • Improved Filtered product search now understands sale and discount intent. Ask the bot "what's on sale" or "any deals under $30" and it returns only currently discounted products (composable with category, tag, attribute, and price filters). If nothing is on sale, the bot says so instead of showing full-price items.
  • Fixed WooCommerce chat features now work when your site's chat model is Claude Opus 4.7, Opus 4.8, or Claude Fable 5. Product replies powered by these newer Claude models previously failed; they now respond correctly.
  • Migrated to the new MxChat plugin release channel. Future updates will be delivered through MxChat's signed release pipeline instead of QuickDeploy. No functional changes.

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