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.
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
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 case | Buyer question | Required source | AiRep24 action |
|---|---|---|---|
| Product discovery | What product fits my needs? | Catalog, attributes and availability | Asks for context and returns relevant products |
| Voice Q&A | Can I ask this by voice? | The same knowledge used by text chat | Transcribes the request before answering |
| Delivery | When will it arrive? | Current delivery policy and destination rules | Answers only from the connected policy |
| Returns | Can I return it? | Current return policy | Explains the applicable published terms |
| Product comparison | Which option matches my requirement? | Verified product and variant attributes | Compares the requested criteria |
| Human review | Can someone help with an exception? | Conversation context and operator settings | Notifies the configured operator for a manual decision |
Working method
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.
List the pages, products, policies, variants, forms, and links that should support the answer. Remove obsolete or contradictory information before testing.
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.
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
Use the carousel to move through real generated pages in this section.
Use caseAnswer repetitive public-information questions from maintained sources and measure which intents resolve or need a person.
Open guide
Use caseAddress pre-purchase information gaps with current product and policy answers, then measure assisted journeys in business analytics.
Open guide
Use caseConnect stated shopper constraints to current catalog, variant, inventory, and merchant-rule data.
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