In context
Unlike a generic chatbot, an AI sales agent doesn't just reply with canned scripts. It uses retrieval-augmented generation to look up real products, real inventory, and real policy documents on every turn, then composes a response in your brand voice. The model never invents SKUs, prices, or shipping rules — it only restates what it found.
A modern AI sales agent typically wires up four capabilities behind a single chat surface: semantic product search, structured tool use (add-to-cart, inventory check, order lookup, smart-offer), policy knowledge from your shipping/returns/FAQ content, and guardrails so it refuses to make medical, legal, or competitor claims.
The business goal isn't deflection of support tickets — it's conversion. A well-tuned agent converts more browsers into buyers, raises average order value through guided cross-sells, and recovers carts that would have abandoned silently.
How Zubby uses this
Zubby is an AI sales agent purpose-built for Shopify and WooCommerce. We index your full catalog (products, variants, collections, metafields), your policy docs, and your past conversations into a tenant-isolated vector store. On each turn, the agent retrieves the most relevant facts, ranks them through your merchandising rules, and generates a response with cart-ready product cards.
Every claim it makes is auditable. Every tool call shows in your conversation log. And the agent escalates to a human handoff the moment confidence drops — never improvising.