Guides

Use Cases

AiRep24 use cases show how Shopify stores use AI chat, voice Q&A, product recommendations and Telegram operator handoff to answer buyer questions, reduce support tickets, improve product discovery and help hesitant shoppers choose the right product.

Overview

Where AiRep24 helps ecommerce teams.

Use cases begin with a real visitor question and the exact information needed to answer it. Product discovery needs catalog context, delivery and returns need current policies, and comparison questions need verified attributes rather than generic sales language.

These workflows connect voice Q&A, product recommendations, knowledge base setup, multilingual support and Telegram operator notifications.

Use caseBuyer questionRequired sourceAiRep24 action
Product discoveryWhat product fits my needs?Catalog, attributes and availabilityAsks for context and returns relevant products
Voice Q&ACan I ask this by voice?The same knowledge used by text chatTranscribes the request before answering
DeliveryWhen will it arrive?Current delivery policy and destination rulesAnswers only from the connected policy
ReturnsCan I return it?Current return policyExplains the applicable published terms
Product comparisonWhich option matches my requirement?Verified product and variant attributesCompares the requested criteria
Human reviewCan someone help with an exception?Conversation context and operator settingsNotifies the configured operator for a manual decision

Working method

Start with the question, then verify the source and fallback.

A useful deployment is not a list of generic chatbot promises. Each scenario needs a source boundary, a visitor-facing action, and a defined response when the source cannot support an answer.

01 · Source

Identify the customer-facing fact

List the pages, products, policies, variants, forms, and links that should support the answer. Remove obsolete or contradictory information before testing.

02 · Test

Use real visitor wording

Test short questions, incomplete requests, product names, constraints, and follow-up questions. Confirm that cards, links, price, stock and policy details match the connected source.

03 · Fallback

Define what happens when data is missing

The assistant should ask for needed context or state the limitation. When judgment or private account work is required, the configured operator decides manually whether to intervene.

Use Cases

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