The customer context
For stores that want conversational product discovery and fewer repetitive order-status questions.
Helps customers narrow product choices and check approved order information without giving the agent unrestricted store access.
Commerce
AI agent for product and order support
For stores that want conversational product discovery and fewer repetitive order-status questions.
What this workflow can cover
- Search the connected catalog using customer criteria
- Present relevant product information from the source system
- Use approved read-only order checks where configured
- Escalate changes, refunds and ambiguous requests to the team
Commerce
How it works
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1
A customer describes what they need or asks about an existing order.
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2
The agent uses the configured catalog or order tool within its approved contract.
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3
The customer gets a grounded answer or the team receives a complete support context.
What your team gets
Faster product discovery
Fewer routine status questions
Safer separation between read checks and sensitive changes
Telp
How your team keeps control
Business rules stay explicit
Instructions, required details and allowed actions are configured for the selected workflow.
Sensitive steps can wait for confirmation
The agent can prepare a structured request while a person remains responsible for the final action.
Handoff keeps the conversation
Operators receive the customer context, collected data and the point where help is needed.
FAQ
Frequently asked questions
How should we start with AI agent for product and order support?
Start with one channel, a small knowledge set and a clearly defined result. Test normal questions, missing information and handoff cases before adding more channels or actions.
Can our team take over the conversation?
Yes. Telp keeps the conversation in the shared inbox and can hand it to an operator with the transcript and collected context.
Does the agent have to perform every action automatically?
No. Read-only checks, prepared drafts and confirmed write actions can be separated so the rollout matches the risk of the process.
Explore related pages
Use cases
Scheduling
AI agent for appointment booking
Answers appointment questions, captures the required details and prepares a request for confirmation or a connected scheduling step.
Orders
AI agent for orders and enquiries
Collects order details, checks the required information and sends the team a structured request instead of scattered messages.
Sales
AI agent for lead qualification
Asks the agreed qualification questions and sends sales a structured lead with context and a suggested next step.
Want to validate this workflow with your own examples?
Tell us the channel, current process and first result you want to improve. We will suggest a focused rollout path and the cases your team should test.