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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.

Pipeline of a RAG chatbot: question, retrieval over your content, generation from the passages, answer or a decline
Chatbot fundamentals
685 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.

Website chat answering a solar installation question and offering a surveyor call-back to capture the lead
Ecommerce support
563 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.

Chat widget answering a French shipping question and a Portuguese follow-up in each visitor's language
Chatbot fundamentals
606 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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