98.2%
Return Processing Accuracy
Retail
98.2%
Return Processing Accuracy
6 Hubs
Deployed Nationwide
90 Days
End-to-End Rollout
Industry: Direct-to-Consumer Retail
Company Size: Mid-Market, National Footprint
Challenge Type: Reverse Logistics Network Build
Location: 6 regional hubs across North, West, and South India
Timeline: 90-day deployment cycle
A national D2C brand was absorbing returns through its forward-distribution network, with no dedicated grading, disposition, or restocking path.
Returned stock sat unclassified for weeks, delaying refunds and writing off resaleable inventory that should have re-entered the sellable pool.
Traced every return path from customer pickup to final disposition and isolated where units stalled.
Sited six regional hubs against return-volume density to cut inbound transit legs and dwell time.
Standardised inspection criteria so each unit routes to restock, refurbish, liquidate, or scrap on first touch.
Linked hub scanning to the brand's inventory system so graded stock reappears as sellable without manual reconciliation.
0.2%
Return Processing Accuracy
0 Hubs
Regional Network Deployed
0 Days
Full Rollout Timeline
0 Touch
Disposition Decision Point
How a structured VMI model reduced inventory costs and improved OTIF.
From fragmented visibility to measurable inventory performance.
India's third-party logistics market is scaling fast. Here's what's fuelling the growth and how shippers should respond.