AI agents for ecommerce operations, from order exception to refund
Ecommerce operations is a high volume exception business. Most orders are fine. The work is entirely in the ones that are not, and that work is repetitive enough to automate and consequential enough that a person should still approve the money.
- Detectorder exception
- Tracecarrier and stock
- Proposeresolution
- Approvehuman decides
- Resolverefund or reship
The constraints that actually bind
Volume hides the exceptions
At a few thousand orders a month the problems are visible. At a few hundred thousand they are statistical, and the ones that matter are buried under the ones that resolve themselves. Detection is most of the job.
Money moves are irreversible and public
A wrong refund is recoverable in theory and painful in practice, and a wrong refusal becomes a review. This is a sector where the approval gate earns its keep on the first week.
The systems multiply faster than they integrate
Storefront, payment processor, three PL warehouse, carrier, helpdesk, marketplace channels. Each is fine on its own and none of them agree, which is exactly the reconciliation problem in a different costume.
What we build for ecommerce teams
A mix of operations and support agent work, because in this sector they are the same workflow seen from two sides.
Order exception detection across channels
Stuck fulfilments, carrier exceptions, payment mismatches and marketplace discrepancies surfaced as they happen, with the related records from every system already pulled together.
Returns and refunds prepared, not executed
The agent works out what happened, checks it against policy, and prepares the resolution with the policy passage attached. A person approves the money.
Supplier and warehouse chasing
The follow up sequence that somebody currently does from a spreadsheet: what was promised, what arrived, what is late, who was told. Run consistently rather than when there is time.
Tier one support grounded in your policies
Where is my order, how do I return this, what is the policy. Answered from your actual documentation with the version recorded, and escalated with the full case when it is anything else.
Stock and listing reconciliation
Between storefront, warehouse and marketplace channels, run continuously so an oversell is caught in hours rather than after a customer finds it. The agent also flags the slower problem underneath: listings that have drifted apart in price, title or variant, which quietly costs more over a quarter than the occasional oversell does.
Every money movement stops for a person
Refunds, credits, replacement orders and cancellations are all irreversible from the customer’s side, so all of them sit behind a gate showing the order, the evidence, the policy basis and the amount. Teams processing high volumes usually relax the gate for one narrow case, small value refunds inside the policy window, after watching a few hundred correct proposals. That stays your decision and it stays reversible.
How approval gates workWhat ecommerce teams actually run
The integration surface is usually wide rather than deep, which suits staged connector rollout.
- Shopify
- WooCommerce
- Stripe
- Marketplace channels
- Three PL and warehouse systems
- Carrier APIs
- Zendesk
- Gorgias
Where to go next
Questions about this
Can it issue refunds automatically?
Not by default. It prepares them and a person approves. Once you have watched enough correct proposals you can relax that for a narrow, well defined case, and reverse the decision in one deploy if it stops being right.
How does it handle peak season volume?
What about marketplace channels with poor APIs?
Will customers know they are talking to an agent?
Start with your exception queue
Show us a week of stuck orders and we will show you what an agent would have resolved, and what it would have escalated.