Logistics Automation
Streamlining Warehouse-to-Door Efficiency with End-to-End Logistics Automation
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Client Overview
A third-party logistics (3PL) company based in Dubai, operating across the Middle East and North Africa (MENA) region. The client specializes in freight forwarding, warehousing, and last-mile delivery services for e-commerce and retail companies.

Our Approach
Our approach included:
- Automating warehouse pick-pack-ship workflows
- AI-driven vehicle route optimization
- Real-time GPS tracking of fleet and deliveries
- Predictive alerts for shipment delays and exceptions
Challenge
The client was facing rising operational costs and delivery delays due to disconnected systems, manual scheduling, and lack of real-time tracking. Key challenges included:
Logistics Automation
India
Key pain points included:
- No unified system for shipment tracking across hubs
- Delayed vehicle dispatching due to manual route planning
- Paper-based inventory and warehouse management
- Poor visibility into last-mile performance and delivery failures
Solutions Delivered
IoT-Enabled Smart Switchboards
Enabled remote monitoring and control of electrical systems across buildings using smart switchgear.
SCADA-Based Centralized Monitoring
Integrated all facility systems under one SCADA platform for real-time visibility and control.
Automated Load Balancing & Backup Management
Optimized energy use and backup switching with algorithms and Auto Transfer Switch (ATS) control.
Energy Dashboards & Fault Alerts
Deployed building-wide dashboards with analytics, instant fault alerts, and consumption tracking.
Technologies Used






Business Impact / Results
The end-to-end automation transformed their logistics operations:
What Our Clients Say
"QeMatic's RPA team transformed our manual loan processing system. What once took days now happens in hours. Their deep platform knowledge and process-driven approach helped us reduce turnaround time by over 60% while staying fully compliant."


“We engaged QeMatic to integrate AI with our existing automation efforts. The results were outstanding — predictive quality control and demand forecasting brought a new level of intelligence to our operations. They truly understand the future of automation."


"QeMatic's Time and Motion Study uncovered hidden inefficiencies in our patient onboarding flow. Their insights led to a 30% improvement in staff productivity and better patient experience. The free consultation alone was eye-opening."


Key Highlights (Summary Box)
Metric | Before | After |
---|---|---|
Delivery Speed | 2–3 Days Avg. | Next-Day in 80% Cases |
Route Planning | Manual Dispatching | AI-Based Optimization |
Warehouse Operations | Paper-Based | 80% Automated |
On-Time Delivery Compliance | ~65% | 90%+ |