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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.

Privacy checklist for a store chatbot: signed DPA, two-fact order lookup, stated retention, export and deletion
Support operations
1,093 views

An AI chatbot on a store handles message text, order lookups, leads and sometimes uploaded documents, which makes it part of your GDPR obligations. This checklist covers what data flows where, the questions to put to a vendor (DPA, subprocessors, encryption, retention, model training), how to minimise what the bot collects, how deletion and export requests are handled, and what to tell shoppers.

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Bar chart comparing illustrative cost per 1,000 support contacts for human-only, hybrid and per-resolution AI models
Support operations
1,246 views

The honest comparison between AI and human customer support is not "which is better" but "which contacts should each handle, and what does that cost". This guide prices human-only, AI-only and hybrid support per contact using assumptions you can replace with your own, shows what each does well, sets the handover rules that make hybrid work, and gives a worksheet to run the numbers for your store.

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Ten-point checklist for testing an ecommerce chatbot in a trial, from own-data answers to the pricing unit
Pricing & buying guides
819 views

Rankings tell you what reviewers liked; a trial tells you what works on your store. This guide gives a 10-point test you can run in an afternoon on any ecommerce chatbot: own-data answers, catalogue sync, live order lookup, the two negative cases, languages, handover, the pricing unit, widget controls, reporting and data handling, each with a pass condition and a scoring sheet.

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Flow from website pages and PDFs through a one-line script to answers, leads and handover, with reports at the end
Chatbot fundamentals
594 views

An AI chatbot for your website answers visitors from the pages, documents and FAQs you already have, captures a lead when someone is not ready to act, and hands over to a person when a question needs one. This guide covers a services site, a SaaS site and a store, what to feed the bot, the one-line install, the three mistakes that waste it, and how to measure it.

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Pipeline of a RAG chatbot: question, retrieval over your content, generation from the passages, answer or a decline
Chatbot fundamentals
779 views

A RAG chatbot answers in two steps: it retrieves the passages of your own content that match the question, then writes an answer from those passages only, declining when nothing matches. This guide walks one question through both steps, explains chunks, embeddings and keyword search in plain words, lists the ways retrieval still fails on a real store and the content fix for each, and shows how to test it.

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Website chat answering a solar installation question and offering a surveyor call-back to capture the lead
Ecommerce support
613 views

AI for lead generation on a website is not outbound prospecting; it is a chat assistant that answers a visitor's question first, asks for contact details at the moment of intent, rates the lead 1–5 for trust and emails you immediately. This guide covers the three mechanisms, when and what to ask, forms versus conversational capture, what the assistant cannot do, the privacy points, and how to measure it.

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Chat widget answering a French shipping question and a Portuguese follow-up in each visitor's language
Chatbot fundamentals
659 views

A multilingual AI chatbot does four separate things: detects the language of each message, retrieves the answer from content that may be written in another language, writes the reply in the visitor's language, and switches the widget's own labels. This guide explains how each step works, where it breaks (short messages, product names, mixed-language chats), what you configure, and how to test it before launch.

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