MooChatAI is an AI shopping assistant for WooCommerce and Shopify stores. It is built to help customers find products, recover abandoned carts, track orders, and move through checkout faster through chat-based interactions.
Its core features include intelligent product search that accepts natural-language requests and can handle context, misspellings, and synonyms while filtering by price, size, color, and category. Product results can be shown as cards with images and prices. The chat also supports in-cart actions, letting customers add, remove, and update items without leaving the conversation, and it can provide direct checkout guidance. Other supported functions include side-by-side product comparisons, abandoned cart recovery with proactive prompts and personalized messages, store-approved coupon suggestions, smart recommendations such as upsells, cross-sells, and frequently bought together items, order tracking with status and tracking links, proactive chat popups, quick action buttons, and a lead capture form for names and email addresses.
The service is available 24/7 in 90+ languages with auto browser detection, and it includes 26 fully translated widget interfaces with RTL support. It works with WooCommerce, WordPress, and OpenAI, and Shopify is listed as coming soon. The page also says setup takes about five minutes and that no coding is required. Pricing notes include a free plan and a start-free option with no credit card.
MooChatAI is presented as a chat tool for online retailers that want to automate customer assistance and sales-related conversations inside their storefronts.
In the CRM & sales space, MooChatAI takes a focused approach. It automates customer support and sales assistance for WooCommerce stores, reducing manual workload and increasing conversions. MooChatAI is a B2B product aimed at wooCommerce store owners. A free plan is available. MooChatAI is available on the web and embeddable surfaces.
It is developed by jabidhasan, and it first shipped in 2026. Key capabilities include AI chatbot, product recommendations, and abandoned cart recovery. The interface is available in English and Armenian. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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