An autonomous disposition workflow automates the highest-value decision in reverse logistics: what to do with a returned item. It eliminates the bottleneck of manual inspection and channel analysis by integrating real-time condition data, current market pricing, and refurbishment cost models. The operational upside comes from faster processing, higher asset recovery rates, and the elimination of subjective, error-prone human decisions that erode margin. This requires a production-grade orchestration layer, typically built with frameworks like LangGraph, to coordinate specialized agents and system calls.




