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Guides on AI chat for online stores

Practical, tested advice on running an AI chatbot for an ecommerce store or website: what shoppers ask, how to answer it from your own data, what tools cost, and how to set it up on your platform.

Five setup steps for an AI chatbot on WooCommerce, from installing the plugin to testing a real order number
Platforms & integrations
136 views

An AI chatbot for WooCommerce should read your products, pages and policies, look up orders live and hand over when needed, and it should install in minutes without keys. This guide covers the plugin install and one-click connect, what syncs (products, categories, reviews, pages), how order lookup verifies a shopper, the ten-question test, month-one expectations and the usual fixes.

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Four install steps for a chat plugin on OpenCart 3 and 4, from uploading the extension to enabling the widget
Platforms & integrations
120 views

A chat plugin for OpenCart is worth installing when it does more than put a bubble on the page: it should sync the catalogue, look up orders live, hand over to a person and answer in the shopper's language. This guide lists what to look for, walks through installation on OpenCart 3 and 4, explains pull versus push sync behind Cloudflare, and gives the checks to run before launch.

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Three price tiles comparing the cheapest AI chatbot plans for a small business as of September 2026
Pricing & buying guides
136 views

The cheapest AI chatbot is not the one with the lowest number on the pricing page; it is the one whose low price still includes AI answers, enough conversations and the channel you actually use. This guide lists the cheapest published plans as of September 2026, shows what each leaves out, prices a 120-conversation month on each, and names the cases where cheap is a false economy.

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Flow of a store chatbot: question, retrieval from catalogue and policies, answer with product cards, grade, content fix
Chatbot fundamentals
281 views

Nine techniques that move a store chatbot from "answers something" to "answers correctly": grounding every reply in retrieved content, structuring the catalogue so attributes are findable, writing policy pages a retriever can use, steering with quick replies, handover rules, per-language testing, coupon conditions, guardrails on prices and promises, and a 30-question quality loop you re-run after every content change.

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