Retail
AI agents for retail and e-commerce
Campaign weeks bury the desk in where-is-my-order calls. Returns depend on a policy nobody has memorized for every SKU. Reviews and tickets describe the same defect in different words, so the merchant team sees noise instead of a product issue.
How the agents show up
- Order and returns agents
Order status and eligible returns
Shoppers get the carrier status on the order. Returns start only when the item, the date, and the policy allow it.
- Customer ticket support
Inbox triage
Delivery complaints, product questions, and account issues are drafted and routed. Refunds that need a judgment wait for a person.
- Customer feedback analytics
Review and ticket themes
Reviews, chats, and tickets cluster by product and failure phrase so merchandising can see a sizing or quality issue before the next buy.
Questions we get
Can it refund a customer to end the call?
No. Refunds follow the rules you set. Goodwill and exceptions are a person's decision, with the order already on the ticket.
Does it know what is in stock?
It knows what the inventory feed shows. If that feed is missing, it offers a store check instead of inventing a quantity.
What about peak season?
The first job is the order-status call, because that is the volume. We review wrong tracking answers after the first campaign, then widen to returns.
Can store teams use it too?
Yes, for the same order record. Store-only questions, such as a local pickup exception, route to that store with the order attached.