The parcelLab Returns Agent checks each request against your policy, offers an exchange or store credit before a refund and books the label, in chat, email, WhatsApp or your returns portal.
The agent resolves a return only when your policy and the order data give a clear answer.
Hands over with context
Damaged items, complaints, unclear cases and missing data go to your team with the conversation attached.
Starts small
Run it on a share of traffic, one brand, one market or a few case types before you widen it.
Keeps every decision on record
Transcripts and logs are there for QA and audit. Customer data never trains third-party models.
Returns already run on parcelLab
Retailers use the same portal, rules and return data the agent works from.
“Returns will continue to be received in the future. With the online returns portal we now have a digital and uncomplicated solution with which we know as soon as the parcel is at the counter or with the delivery agent what is coming back and when. We benefit from this, especially in terms of staff planning and we are also faster thanks to automated handling processes.”
Silvio Heider Business Expert Project & Digital Process Management, Conrad
fewer WISMO inquiries at Wyze with the returns portal and post-purchase emails in one place
Your questions, answered
What retailers ask before they put an agent on returns.
An AI agent runs the return for the customer: it reads the order, applies your return policy, offers an exchange or store credit, books the label and keeps the customer updated. The parcelLab Returns Agent does this in chat, email, WhatsApp and your returns portal.
No. The portal and the agent use the same rules, return reasons and return methods. Customers can start in either, and your returns data stays in one place.
Yes. parcelLab supports MCP, so an existing agent such as Salesforce Agentforce, Zendesk AI or Gorgias can call parcelLab’s returns and claims workflows. You keep your front end.
From your rules. You set which options apply by return reason, product, market and customer, and whether store credit carries a bonus. Exchanges and store credit come first wherever your policy allows them.
Every return is scored on behavior, history and risk signals before a refund is approved. Trusted customers are refunded on the first carrier scan, flagged returns wait for warehouse inspection, and your team can override any flag.
When a case is outside the agent’s scope: damaged items, complaints, unclear evidence or missing data. Escalation rules are set per account, and you can keep whole case types with your team during launch.
The standard parcelLab MSA includes a Data Processing Agreement that covers AI sub-processors. Your data is kept separate from other customers and is never used to train third-party models. parcelLab is SOC 2 Type II certified.