Retail · AI agent workflow
AI agents for retail returns & refunds.
HonestAI connects AI assistants to your Commerce platform and OMS so an agent can open returns and refunds within policy — with your rules enforced and your people deciding exceptions.
The problem
Returns need several lookups and a policy judgment that's usually simple, but customers still wait for an agent.
Example in retail (illustrative)
A customer returns shoes in the wrong size; the agent issues a label and exchange inside policy.
What the agent does
- 01Find the order and item
- 02Check the return window and condition rules
- 03Create the return authorization and label
- 04Issue or queue the refund per policy
Controls
AI executes. Your people decide.
Return, refund and discount policies enforced as rules; payments confirmed by the customer.
Checks before every action
- Return window and item rules applied
- Refunds above threshold approved by staff
- Fraud signals routed to review
What people own
Staff approve exceptions, high-value refunds and suspected abuse.
Systems we connect
Commerce platform · OMS · WMS · Helpdesk
What we measure
- Returns processed without staff
- Refund cycle time
- Policy exceptions
Questions
Returns & Refunds in retail: quick answers
- Can an AI agent handle returns & refunds in retail?
- Yes, for the routine, rule-based part. The agent works through governed connectors to systems such as Commerce platform and OMS. Staff approve exceptions, high-value refunds and suspected abuse.
- How is it controlled?
- Return, refund and discount policies enforced as rules; payments confirmed by the customer. Every action is logged with an audit trail, and writes are idempotent so a repeated request never duplicates.
- How fast can we start?
- Most teams start with a 5-day integration sprint on one workflow, one system and one AI assistant or channel.
More retail workflows
Returns & Refunds in other industries
See the AI Agent Integration service or the Retail industry page. Prefer email? Write to us.