Vector Bounce - An intelligent returns solution
In today’s competitive market where speed to market and sustainability are key, returning pristine goods to market in the shortest time possible is paramount to success.
Our standalone intelligent returns software solution “Vector Bounce” uses smart algorithms to reduce time spent on decision making, eliminates unnecessary touch points and improve overall efficiency whilst driving unnecessary costs from the entire operation.
At Advanced Supply Chain Group our comprehensive reverse logistics service, and our ReStore process for refurbishment, enables our customers to recover the maximum commercial value from returns.
We offer a full returns solution for individual consumer returns, bulk or end of season recall, all tracked through our returns and salvage module. Our bespoke solution enables our operators to receipt, grade, re-pack and refurbish product and manage the flow back to prime stock and ensure that product is fit for re-sale on alternate marketplaces.
Our approach has added value into returns and salvage, a process previously viewed by retailers as high cost and little return. With a data rich system, that provides business intelligence and data analysis, our customers are able to make informed commercial decisions and maximise the residual value from their returns. We use smart algorithms to manage the actions required, with work only carried out if it is cost-effective for the chosen route to market. This ensures best value recovery at lowest cost, every time.
To find out more contact our Omni-channel Solutions team on +44 (0)1274 470500 or click here to submit an enquiry.
Protects Brand Reputation
Maximises Value of Returned Items
Algorithm Based Decision Making
Control Tower Visibility
A Supporting sales growth for High Street TV success story
Supporting sales growth for High Street TV
HSTV appointed ASCG in October 2019 to provide technology-led solutions to the company’s warehousing, fulfilment and returns requirement which led to a 102% despatch increase.Read our case study
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