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Chatbot fundamentals

How AI chatbots work in plain language: retrieval on your own content, training data, accuracy, human handover, languages and the limits to plan for.

Diagram separating what belongs in chatbot instructions from what belongs in store content
Chatbot fundamentals
70 views

AI chatbot instructions are short by design. They set tone, scope and escalation, and nothing else: facts belong in your content, where they can be updated without touching the assistant. This guide covers what to include, a template you can adapt in ten minutes, the additions that quietly make answers worse, and how to tell instructions problems from content problems.

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Comparison of a question-answering assistant and an action-taking agent for an online store
Chatbot fundamentals
78 views

Chatbot vs AI agent is mostly a marketing distinction, but one real difference sits underneath: whether the software only answers or also takes actions on your systems. This guide defines both terms plainly, shows where a store genuinely benefits from action-taking, where it adds risk for little gain, and the questions that cut through a vendor's wording to what the product actually does.

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Checklist contrasting when to pick a no-code chatbot builder and when to pick an AI trained on your own content
Chatbot fundamentals
165 views

A no-code chatbot builder lets you draw the conversation: menus, branches, forms. An AI trained on your own data reads your content and answers whatever is asked. They solve different problems, and picking the wrong one means either weeks of flow-building or a bot that wanders. This guide shows what each is good at, the real effort to build and maintain each, prices as of September 2026, and a decision list.

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Decision flow between an AI chatbot and live chat: content and order questions to the bot, judgement calls to a person
Chatbot fundamentals
201 views

Chatbot vs live chat is a false choice for most stores: the questions with an answer in your content or order data belong to a retrieval-based chatbot, at any hour, and the ones needing judgement belong to a person. This guide compares the two on availability, cost unit, answer quality and exceptions, and sets out the handover rules and pricing that make running both practical.

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Large statistic tile: 39.6 percent of store chat conversations started outside 9 to 6 UTC, from 884 real conversations
Chatbot fundamentals
276 views

Most ecommerce chatbot statistics online cannot be traced to a dataset. These can: 884 real conversations across 63 stores on Vatdi over 90 days, eval traffic excluded, with the method stated. They show when shoppers ask, what they ask about, how long conversations run, how often a person is needed, where shoppers are, and how often the answers were good, plus the one external figure we consider sourced.

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Flow of a store chatbot: question, retrieval from catalogue and policies, answer with product cards, grade, content fix
Chatbot fundamentals
380 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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Store chat widget answering whether a backpack is waterproof, with a product card showing price and stock
Chatbot fundamentals
1,428 views

An AI chatbot for ecommerce answers shoppers from your own catalogue, policies and order data instead of from scripts. This guide explains how it differs from rule-based bots, live chat and generic AI chat, what it reads, what it does in a conversation, what it cannot do, how it installs on each platform, what it costs, and how to judge one in a ten-question trial.

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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
702 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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