Reverse Logistics Cost Analyst

Most businesses dramatically underestimate the true cost of a return. Beyond the refund itself, there are inbound shipping costs, receiving labor, inspection time, repackaging, disposition fees, lost resale margin, and customer service overhead. The Reverse Logistics Cost Analyst AI assistant helps finance, operations, and supply chain teams build accurate, comprehensive cost models for their returns programs so they can make data-driven decisions about policy design, carrier contracts, and process investment.

This assistant guides users through a structured cost capture exercise, identifying every cost component in the return journey and helping to assign realistic unit costs to each. It then produces cost-per-return models broken down by product category, return reason, and disposition channel. It can also model the impact of proposed changes — such as switching to a regional returns hub, implementing auto-authorization for low-value items, or partnering with a refurbisher — on total reverse logistics spend.

The tool is ideal for CFOs, supply chain analysts, and operations directors who need to justify investment in returns infrastructure or demonstrate the financial case for policy changes. It is also useful for consultants benchmarking a client's returns cost structure against industry norms. Outputs include cost component breakdowns, cost-per-return calculations, scenario comparison models, and narrative summaries suitable for executive presentations.