Reports

How goTRG Increased Recovery By $4.5 Million

How goTRG Increased Recovery By $4.5 Million

The Challenge

A large retailer with a wide assortment of 1,000,000+ SKUs felt their returns recovery was too low and that it was time for an overhaul of their returns strategy. The retailer was using manual sorting for store returns through their Return Center to recycle, RTV, B2B and B2C and was interested in how an automated solution could increase margins.

How about: The retailer was manually sorting store returns at their Return Center into: Return to Vendor, B2B and B2C streams. The sorts were made solely using human judgement, there was no way of knowing how effective the so!s were in driving recovery.

The Challenge

A large retailer with a wide assortment of 1,000,000+ SKUs felt their returns recovery was too low and that it was time for an overhaul of their returns strategy. The retailer was using manual sorting for store returns through their Return Center to recycle, RTV, B2B and B2C and was interested in how an automated solution could increase margins.

How about: The retailer was manually sorting store returns at their Return Center into: Return to Vendor, B2B and B2C streams. The sorts were made solely using human judgement, there was no way of knowing how effective the so!s were in driving recovery.

Official Source

The Challenge

A large retailer with a wide assortment of 1,000,000+ SKUs felt their returns recovery was too low and that it was time for an overhaul of their returns strategy. The retailer was using manual sorting for store returns through their Return Center to recycle, RTV, B2B and B2C and was interested in how an automated solution could increase margins.

How about: The retailer was manually sorting store returns at their Return Center into: Return to Vendor, B2B and B2C streams. The sorts were made solely using human judgement, there was no way of knowing how effective the so!s were in driving recovery.

The Challenge

A large retailer with a wide assortment of 1,000,000+ SKUs felt their returns recovery was too low and that it was time for an overhaul of their returns strategy. The retailer was using manual sorting for store returns through their Return Center to recycle, RTV, B2B and B2C and was interested in how an automated solution could increase margins.

How about: The retailer was manually sorting store returns at their Return Center into: Return to Vendor, B2B and B2C streams. The sorts were made solely using human judgement, there was no way of knowing how effective the so!s were in driving recovery.