One in three delivery failures, caught as fake.
Post-shipment validation for Traya, calling customers to tell genuine delivery failures from fake ones, so real orders get a second attempt and returns fall.
Post-shipment NDR validation
Post-shipment NDR validationTraya is a direct-to-consumer brand shipping orders to customers across India, where failed deliveries and returns cut into revenue.
Returns were rising, and no one was checking why.
Rising RTO costs
Returns to origin were climbing and eating into revenue.
Unverified failures
Delivery-failure remarks went unchecked, genuine or not.
Blind reattempts
Reattempts were made without knowing which failures were real.
Revenue leaking
Every wrongly returned order was lost revenue.
Verify every failure, then reattempt the real ones.
Each delivery-failure remark is checked with the customer, so genuine cases get a fast reattempt and fake ones are caught.
Delivery fails
NDR raisedCall the customer
In the windowValidate the remark
Genuine or fakeFlag fake NDRs
Recoverable ordersTrigger reattempt
Genuine casesFewer RTOs
Revenue savedDelivery failures, verified before they become returns.
Every failure, verified
Each delivery-failure remark is checked with the customer, not taken at face value.
High customer connectivity
Over 75% of customers were reached on the follow-up call.
Conclusive outcomes
58.65% of connected calls ended in a clear outcome.
Fake NDRs caught
34.23% of failures were flagged as fake, and recoverable.
Sharper reattempts
Genuine failures get a targeted reattempt, not a blind retry.
RTOs and revenue loss, down
Catching fake failures cuts returns and recovers revenue.
Fake failures caught, reattempts sharpened, returns down.
Futwork reached over 75% of customers and delivered a conclusive outcome on 58.65% of connected calls, identifying 34.23% of delivery failures as fake, orders that could be recovered instead of returned.
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We'll show where AI and our Service Providers can cut RTOs and recover revenue across your delivery operations.