Returns and refunds
Policy and history checked in seconds, label issued; the refund executes when the carrier scans the parcel.
Returns and refunds
- In-app return request: order #100377, 2 items, reason "wrong size"
- Order delivered 26 Aug, 2 items totalling 3,180, paid by card
- Policy: within 14 days, tags attached, returnable category → eligible
- History: 3 returns in 11 orders over 12 months (27%), no abuse signal
- Plan: return label → approval threshold → return record → refund → notify
- Free return label created: YK-8812 0034, valid for 3 days
- Refund > 2,500 → team lead approved in 2 minutes
- Return record created, stock flagged as "expected return"
- 3,180 refunded to the card on the carrier pick-up event
- Email: return confirmation, label and 3–5 working day refund timeline
Simulation · derived from real agent definitions · every agent can be built by dialogue with the Autonomous Agent and validated with a test corpus
Return request from the app, web or email
Return record and label ready, refund armed on carrier pick-up, customer informed
Agents
Returns Supervisor
Decomposes the objective, delegates to agents, manages approval points, merges the result.
Intake Agent
Finds the order and classifies the return reason
get_orderextract_return_reasonclassify_reasonPolicy Agent
Assesses eligibility and abuse signals
get_return_policycheck_eligibilityget_customer_return_historyFulfilment Agent
Creates the label, records the return, issues the refund
create_return_labelcreate_returnissue_refundsend_emailSteps
| # | Kind | Agent | What happens | System | ms | tok |
|---|---|---|---|---|---|---|
| 01 | ingest | Returns Supervisor | In-app return request: order #100377, 2 items, reason "wrong size" | — | 200 | — |
| 02 | tool | Intake Agent | Order delivered 26 Aug, 2 items totalling 3,180, paid by card | Shopify / OMS | 360 | — |
| 03 | verify | Policy Agent | Policy: within 14 days, tags attached, returnable category → eligible | — | 620 | 540 |
| 04 | reason | Policy Agent | History: 3 returns in 11 orders over 12 months (27%), no abuse signal | — | 480 | 390 |
| 05 | plan | Returns Supervisor | Plan: return label → approval threshold → return record → refund → notify | — | 240 | 180 |
| 06 | write | Fulfilment Agent | Free return label created: YK-8812 0034, valid for 3 days | Carrier API (Yurtiçi, DHL) | 420 | — |
| 07 | approval | Returns Supervisor | Refund > 2,500 → team lead approved in 2 minutes | — | 2,400 | — |
| 08 | write | Fulfilment Agent | Return record created, stock flagged as "expected return" | Shopify / OMS | 380 | — |
| 09 | write | Fulfilment Agent | 3,180 refunded to the card on the carrier pick-up event | Payment Gateway (iyzico) | 540 | — |
| 10 | notify | Fulfilment Agent | Email: return confirmation, label and 3–5 working day refund timeline | Email (Exchange) | 240 | — |
Where is my order? (WISMO)
Customer asks, order and carrier events join instantly; on delay a new ETA is given and a trace opened.
Product Q&A assistant
Size, compatibility and spec questions answered from catalogue and return data; stock and price verified.
Catalogue enrichment (batch)
Attributes pulled from supplier PDFs and images, TR/EN copy written; hundreds of SKUs ready in minutes.
Time to move from experimenting with AI to transforming with it.
In a 30-minute discovery session we take your 2–3 priority business problems, show a live demo of a similar scenario, and draft a roadmap that starts with the Value layer.
- Your 2–3 priority problems
- Live demo of a similar scenario
- Roadmap starting with value analysis