Cross-channel returns and service management system
The employee accepting the return finds the purchase and the conditions applicable to it, even if purchased on another channel. The evaluation of the product is passed on to the stock and payment systems.
Purchase, payment, loyalty, delivery and return data are not always available in another store or channel. Returns take time, employees make individual decisions, the balance is updated late, and the reasons data stock unreliable.
How the solution works
- Purchase-checking conditions for a specific return
- The employee evaluates the received item and selects the action allowed
- The decision is passed on to the refund and stock correction
- The customer is provided with a confirmed money and item return status
Key challenges
- Returns between channels cause manual exceptions
Solution capabilities
Verification of return conditions
The employee sees the purchase channel, document and case-specific admission conditions. An unclear exception is passed to the person who can make the decision.
Physical Goods Assessment
The resulting item is linked to the return, and the condition checked determines its preparation for sale, repair or other approved action.
Execution of a refund
The decision is passed on to the payment and accounting processes that produce the actual result of the execution.
Customer information
The client receives the case-specific status and the next action required; the employee sees delayed responses or outstanding returns.
Business context
- Returns between channels cause manual exceptions
- Purchase, payment, loyalty, delivery and return data are not always available in another store or channel. Returns take time, employees make individual decisions, the balance is updated late, and the reasons data stock unreliable.
- The return becomes a consistent continuation of the purchase
- It is convenient for the customer to deal with the issue in his proper channel, even if he has bought elsewhere. The visible purchase history and the conditions applied allow explaining the decision and the amount being refunded. Smooth running helps maintain the relationship after a failed purchase and reduces the need for repeated requests.
Core features
- Verification of return conditions
- Physical Goods Assessment
- Execution of a refund
- Customer information
Key integrations
- OMS / ERP
- Order goods, return details and a refund decision.
- Payment system
- Payment and Money Back Status.
- WMS / Store System
- Acceptance, condition and further stock decision of the returned item.
- Courier systems
- Returned shipments and delivery events when they are needed to resolve the case.
Potential impact (%)
The ranges indicate an illustrative relative change in the metric under the stated assumptions. Results depend on the starting position and actual use of the solution. Percentages for different metrics must not be added together.
Average time to decision on return or order problem
6–25%Decreasing
This illustrative scenario assumes that 20-50% of waiting caused by missing information or unclear responsibility can be addressed. That share is assumed to fall by 30-50%. Company data is needed to verify both the addressable share and the resulting change.
Measure the time from case registration to clear solution for the client, separately marking the wait for the client or external partner.
Part of repeated contact for the same case
12–42%Decreasing
This illustrative scenario assumes that 30-60% of errors can be addressed through the data and rule checks described. That share is assumed to fall by 40-70%. Company data is needed to verify both the addressable share and the resulting change.
Counting cases where a client is applying repeatedly because the previous action was not completed or its state was not visible. The percentage is calculated on the number of all completed service cases.
Share of customers who re-purchased after service problem
2–10%Increasing
Sample starting part - 50%. Assumption: 10-25% of the remaining cases involve an unresolved service problem after purchase; a solution would help solve 20-40% of these cases.
Returning buyers are divided by all comparable customers with a completed service issue. All are subject to the same observation period; the type of problem and previous frequency of purchase are compared.
Conditional calculation scenarios. The assumptions have not been validated against client measurements.
When this solution is relevant
- When a customer returns an item purchased on one channel on another, the employee must inspect several systems and individually decide how to return the money and where to redirect the item
- The condition is unclear to the customer, and the right item goes back into sale too slowly.
Implementation requirements
The return progress is compatible, where goods purchased on other channels can be accepted and who confirms their condition. Partial returns data are transmitted for payments and accounting, with the employee clearly showing the unfinished actions.
Further development options
- Confirmations of complex interchannel returns
- Control of cases prolonged due to pending payment