Reverse Logistics & Circular Supply Chains

One global consumer electronics manufacturer implemented an AI-driven solution that reduced return processing time by 27% and increased recovered product value by 38% within six months, according to systems integrator Automation AI. This example demonstrates how machine learning can simultaneously improve efficiency and customer satisfaction.

Deloitte cites the example of a clothing and accessories retailer that worked with a reverse logistics specialist company to deploy an online portal that made it easy for consumers to return items and make exchanges, while also protecting against fraud. The consulting firm says the implementation saved labor and transportation costs and that the AI-driven system captured return data to allow better inventory planning while routing returned products to the optimal location, whether that’s a distribution center, store or landfill.

Industry-wide data supports these results. About 68% of retailers surveyed in 2024 said they planned to upgrade their returns capabilities within six months, according to NRF and Happy Returns. The global reverse logistics market is projected to grow 12.3% annually from 2024 through 2032 when it will reach nearly $3 trillion, according to Polaris Market Research.