Zero-Touch Smart Warehouse
Implemented an autonomous inventory and anomaly detection platform combining AI vision, RFID, and IoT sensors to improve stock accuracy and reduce shrinkage.
99.2%
Stock Accuracy
-45%
Shrinkage Cut
-30%
Labor Cost
+25%
Dispatch Speed
Challenge to Solution
How we translated complex operational constraints into a clear implementation path.
The Challenge
Inventory mismatches were frequent between physical shelves and system records
Manual scanning introduced avoidable inbound and outbound processing errors
Unauthorized access and shrinkage caused measurable financial leakage
Lack of real-time visibility delayed restocking and exception handling
Fulfillment teams struggled to maintain speed during peak load windows
Our Solution
Created a digital twin view of inventory state across zones and shelves
Connected edge cameras, RFID readers, and shelf sensors into one event stream
Automated barcode and label OCR checks for shipment verification
Built behavior-based anomaly detection for unauthorized handling patterns
Added real-time replenishment and exception alerts for operations teams
Project Timeline
Delivery span: 6 months
Process Baseline
Mapped inbound, storage, and outbound workflows and quantified leakage points.
Sensor & Vision Integration
Integrated cameras, RFID, and IoT devices with a unified event model.
Automation Layer
Built reconciliation logic, OCR verification, and anomaly scoring services.
Go-Live & Tuning
Launched in phases with KPI monitoring and policy refinement for operations teams.
"We moved from periodic inventory correction to continuous inventory confidence."
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