ChatBuster is an AI chatbot for Shopify and WooCommerce stores. It is designed to answer shopper questions from store data so visitors can get replies around the clock and, according to the site text, continue toward a purchase instead of leaving the store.
Its listed capabilities include answers drawn from a store’s catalog, live inventory, pricing, policies, FAQs, shipping policies, and return policies. The system also advertises full order context and tracking awareness, proactive engagement triggered by exit intent and long dwell time, contextual product recommendations, automatic replies in the visitor’s language, and the ability to learn a store’s tone and edge cases through personalized AI corrections. The page also says it can handle 90% of support queries automatically and track which conversations lead to purchases.
ChatBuster is described as working natively with Shopify and WooCommerce without a developer or custom code. It is available through the Shopify App Store and WordPress.org, and the setup flow shown on the page is a three-step process: install, train from storefront content, and go live. The pricing section says plans for WooCommerce and WordPress stores are billed monthly or annually, include a 14-day free trial, and can be canceled anytime. On Shopify, subscription and billing are handled in the Shopify App Store. The listed WooCommerce and WordPress plans are Starter at $40 per month for 250 conversations, Growth at $115 per month for 750 conversations, and Scale at $230 per month for 1,500 conversations, with top-ups of 200 additional conversations available for $40.
ChatBuster sits in PulseGate's AI category. It focuses on enabling WooCommerce stores to provide AI-powered, catalog-aware chat support without technical setup. ChatBuster is a B2B product aimed at wooCommerce store owners. There is a free tier. It runs on the web, embeddable surfaces, and API.
mihaij95 builds and maintains ChatBuster, and it first shipped in 2026. Among its 5 catalogued features are AI chat for WooCommerce, catalog-aware answers, and order data integration. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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