Pre-sale, cart, and post-purchase — how to deploy AI chat on Shopify, WooCommerce, and headless stacks with metrics, vendors, and failure modes.
LaunchGPT Team
Product & research
Published
E-commerce AI chat in 2026 is not one bot — it is three layers: pre-sale (catalog, fit, policy), cart (objections, shipping), and post-purchase (WISMO, returns). Teams that deploy a single generic widget everywhere get mediocre results. Teams that combine order-aware tools with RAG over policies and content win on conversion and CSAT.
This playbook covers metrics, vendor patterns, and failure modes — with LaunchGPT as the RAG layer and Tidio / Gorgias as common commerce stacks.
Goal: answer sizing, compatibility, shipping regions, and returns without human agents.
Tool pattern
KPIs
Goal: reduce abandonment from unexpected costs and timing questions.
Tool pattern
KPIs
Goal: deflect where is my order? with order lookup; escalate exceptions.
Tool pattern
KPIs
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Related: How to add ChatGPT to Shopify · Best chatbots for Shopify
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LaunchGPT Team
Product & research
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