Case Study

Fortune 500 Retailer Modernizes Reverse Logistics at Scale

From fragmented returns to governed execution powered by MiDAS.

As reverse volume scaled across facilities and partners, control didn’t. By implementing MiDAS, this retailer unified governance across its reverse network, standardizing intake, evaluation, and disposition under a single system of record.

THE RESULT

Mismatch rates reduced, grading accuracy exceeded and turnaround times accelerated—restoring control at enterprise scale.

The Challenge

Scale increased. Control didn’t.

As volume scaled across multiple facilities and third-party partners, the retailer faced mounting discrepancies in inventory, grading inconsistencies and limited visibility into post-intake processes, resulting in revenue leakage and operational inefficiency.

Inventory mismatches

2–3% discrepancy rate costing millions annually

Inconsistent grading

Subjective assessments varying by facility and operator

Manual inspection drag

Slow throughput bottlenecking recovery timelines

Limited visibility after intake

Black box processing with minimal exception tracking

The MiDAS Approach

Governed execution across facilities, partners and programs.

MiDAS Platform

Governance

Standardized workflows, policy enforcement and asset traceability.

MiDAS Receiving

Identity

Serial capture + eligibility at intake to prevent disputes.

TruChk + Impersonator

Testing

Automated functional validation at high volume.

DeepSight (Vision AI)

Vision AI

Objective cosmetic grading with consistent outcomes.

Analytics & Dashboard

Insights

Real-time throughput, exceptions and recovery insights.

Transformation

Fragmented point solutions
Manual data reconciliation
Inconsistent enforcement
Limited audit trails
Single governed platform
Automated validation
Universal policy compliance
Full asset traceability

Results at Enterprise Scale

Precision. Speed. Scalable Performance.

Governed execution delivered measurable impact across facilities, reducing errors and accelerating recovery timelines.

< 0.1 %
Inventory mismatches

Mismatch reduced from 2–3% through serial-level tracking

10 %+
Grading Consistency

Accuracy achieved across all facilities and partners

10 %
Faster Processing

Accelerated turnaround for peak value capture

$1M+

Annual Savings

Discrepancy costs reduced through validation

Impact Timeline

Three stages of transformation—from intake to monetization

Stabilized Intake

Serial capture at receiving eliminated disputes and established definitive asset identity from day one.

Standardized Evaluation

AI-driven cosmetic grading and automated testing achieved 95%+ accuracy across all facilities and partners.

Faster Monetization

Reduced processing time accelerated asset velocity and maximized recovery value at market peak.

See what governed reverse execution looks like in your network.

Experience intelligent, rule driven workflows that standardize every return, improve operational efficiency, and maximize recovery value.

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