Optimizing Supply Chains across Multiple Warehouses
An AI- and automation-powered inventory management system ensuring efficient, traceable, and secure warehouse operations. Manage check-in/check-out, verify inventory using OCR and facial recognition, and monitor real-time KPIs.
1,000+
items managed per warehouse
≥95%
facial recognition accuracy
≥90%
OCR accuracy
<1
second check-in/check-out time
Business Overview & Strategic Direction
EXECUTIVE SUMMARY
The National Energy & Transportation Company operates multiple warehouses and faced challenges in tracking thousands of inventory items daily, managing check-in/check-out workflows, and ensuring accountability across multiple user roles. Manual processes caused delays, errors, and lack of transparency, impacting operational efficiency and compliance reporting.
To overcome these challenges, the company required a scalable, AI-powered inventory management system capable of automating verification workflows, ensuring secure access, providing real-time KPI monitoring, and maintaining a centralized dashboard for multiple warehouses. The system needed to support role-based operations, reduce human error, and enhance auditability to comply with internal policies and regulatory standards.
Operational Challenges in Multi-Warehouse Inventory Management
Managing inventory across multiple warehouses requires accuracy, speed, and accountability. Key challenges include:
PROBLEM STATEMENT
High Item Volume
Real-time processing for thousands of inventory entries daily.
Verification Accuracy
Reliable OCR and facial recognition for check-in/check-out.
Multi-Role Coordination
Super Admin, Managers, Attendants, Directors must collaborate seamlessly.
Cloud Scalability
Secure, highly available system with automated backups to ensure uninterrupted operations.
Optimizing Supply Chains across Multiple Warehouses
A powerful AI-driven platform designed to automate verification workflows, streamline technical operations, and enable faster, more consistent decision-making across warehouses.
Our Solution
Data Capture & Verification
Automated OCR document verification for authenticating government-issued letters and official records efficiently.
Role-Based Operations
Super Admin manages, Warehouse Manager oversees, Attendants process items, Director monitors KPIs efficiently.
System Deployment & Monitoring
Cloud deployment ensures scalability, JWT authentication, facial recognition, logging, dashboards, audit trails, MLOps updates.
01
Data Collection & Verification
- Capture inventory data from multiple warehouses.
- Validate documents via OCR for accuracy.
- Verify attendance and check-in/out with facial recognition.
02
Automated Workflows
- Role-based check-in/out processes for staff.
- Real-time KPI updates on dashboards.
- Assign tasks and track progress efficiently.
03
Scaling & Monitoring
- Cloud deployment to handle high-volume entries.
- Monitor system performance and workflow KPIs.
- Receive automated alerts for anomalies or errors.
Transformative Outcomes Across All Metrics
IMPACT & RESULTS
Performance Metrics:
<1.5s
Check-in/out Latency
≥90%
OCR Accuracy
≥95%
Facial Recognition Success
≥99%
System Uptime
Operational Efficiency:
100%
user stories executed
1,000+
inventory items efficiently handled
2+
role-based operations
Technology Stack
TOOLS USED
Python / PyTorch
TensorFlow
Apache Kafka
Discuss Your Enterprise
Use Case
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