returns-reverse-logistics

Returns policy evaluation automates RMA eligibility checks by applying time windows and proof of purchase validation. This ensures standardized return authorizations across multi-channel retail contexts.

Grading returned items uses A-D standards to route dispositions across restock, open-box, refurbish, liquidate, donate, or destroy. Decision trees apply ROI-based logic to select the optimal outcome for each item.

Fraud detection for returns applies scoring patterns to investigate suspicious activity. Escalation templates and decision frameworks handle exceptions, protecting margins while enforcing policy across returns workflows.

Vendor recovery and warranty claims management integrate into returns workflows through RTV (Return to Vendor) claims and warranty coordination. This standardizes recovery actions and streamlines cross-channel claims processing.

An automated reverse logistics playbook is needed when processing returns requires unified policy logic, grading standards, and ROI-based decision trees. It standardizes decisions across inspection, fraud detection, and disposition routing.