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Customer moment
Built for operators who want AI to answer high-volume commerce questions without losing source control.
aserva's AI Agent handles shopper and support questions from product, policy, order, and conversation context.
Product process
The motion panel shows the operating loop; the board beside it changes by product, use case, or resource.
AI Agent for commerce conversations workflow board example
Illustrative flow
Customer asks
Can you answer this customer from the store context and show what happens next?
Ticket reasoning stack
Customer ticket
Can you answer this customer from the store context and show what happens next?
Policies
Orders
Conversation history
Selected step
Question
Can you answer this customer from the store context and show what happens next?
Answer, preview, or hand off
Answers can be automated when confidence is high; refunds, exchanges, discounts, and edits stay under team approval.
Interactive example follows the customer moment for this route.
AI Agent for commerce conversations workflow board
Use the board to see what changes on this route before scanning.
Illustrative response path
aserva reads products, policies, order or channel context, then gives the operator a controlled answer or action preview.
Answers can be automated when confidence is high; refunds, exchanges, discounts, and edits stay under team approval.
Why this page matters
01
Built for operators who want AI to answer high-volume commerce questions without losing source control.
02
Connect catalog, policy, order, and conversation data before the agent writes back.
03
Answers can be automated when confidence is high; refunds, exchanges, discounts, and edits stay under team approval.
04
Track resolution rate, source coverage, handoff reasons, and assisted conversion signals.
Operating workflow
Start with the customer question, check the right source, and put the next decision with its owner.
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