Add a storefront AI chatbot that answers shoppers and recommends products contextually.

AI Chatbot Suggestions adds an interactive storefront assistant that helps visitors find products faster and get buying support in natural language. It is designed for OpenCart 3.x/OpenCart 4.x and supports both general shopping Q&A and product recommendation flows.
See chabot demo here
How it works
- Customer sends a message from the floating chat widget.
- Request is validated (token + checks) before processing.
- AI generates reply and recommendation JSON.
- Products are matched using embedding search (if enabled) and fallback matching.
- Frontend returns formatted reply + product cards.

Use Cases
- "What should I buy for ...?" style pre-sales guidance.
- Quick product discovery without browsing multiple categories.
- On-page support for product-specific questions.

Why store owners use it
- Improves engagement and product discovery.
- Reduces manual support load for repetitive buyer questions.
- Works with current catalog and OpenCart pricing output.

Key Features
- Floating chatbot UI with language text injection.
- AI reply + recommendation JSON parsing.
- Embedding-based semantic product matching.
- Fallback matching when embedding results are unavailable.
- Optional conversation context window.
- Request security checks (session token, input checks, origin checks).
- Product-card output with standard OpenCart links/actions.