← Case Studies
Retail

Inventory Loss Detection

Loss PreventionRetailInventory ManagementPattern Detection
CLIENT PROFILE:Large retail distribution network experiencing significant inventory loss
DEPLOYMENT TIME:8 weeks
SYSTEM:Loss Prevention Intelligence
SCOPE:Real-time inventory monitoring and shrinkage pattern detection

KEY IMPACT

31% ↓
Inventory loss
Real-time
Pattern detection
42% ↓
Admin workload
$1.4M+

SYSTEM DEPLOYED

Loss Prevention Intelligence
Real-time inventory monitoring and shrinkage pattern detection
Sources
  • Inventory transactions
  • Shipment data
  • POS records
Systems Integrated
  • Inventory management
  • Point-of-sale systems
  • Warehouse management
Deployment Time
8 weeks

SYSTEM ARCHITECTURE

Transaction Data → Intelligence Engine → Pattern Detection
                                          ↘ Loss Alerts → Operations Team

THE SITUATION

A large retail distribution network experienced significant inventory loss that only became visible during quarterly physical counts. Loss prevention teams had no real-time visibility into shrinkage patterns, making it impossible to address issues until months after they occurred. Suspected theft, process errors, and damaged goods went undetected for extended periods, compounding losses.

DEPLOYMENT

Mirage deployed agents that monitor inventory transactions, shipment data, and point-of-sale records in real-time. Agents detect unusual patterns (unexpected variances, transaction anomalies, location-specific losses) and alert operations teams immediately. Loss prevention teams now respond to issues in real-time instead of discovering them months later during physical counts.

RESULTS

Inventory loss fell by approximately 31% in Year 1. Loss patterns identified and addressed in real-time rather than quarterly. Process errors contributing to shrinkage detected and corrected immediately. Administrative workload for loss prevention reduced by approximately 42%, allowing teams to focus on high-risk locations and targeted interventions.

YEAR 1 VALUE

Inventory loss reduction$980,000
Operational efficiency gains$620,000
Admin labor reduction$310,000
Total Value$1.4M — $2.1M
← Back to Case Studies