Introduction
In a sector where efficiency defines profitability, our client—a mid-sized logistics company based in Maharashtra—struggled with outdated manual processes, multiple Excel sheets, and disconnected systems. They approached us to build a custom Transport Management System (TMS) to automate their daily operations and improve visibility.
This case study outlines how we developed a tailor-made logistics platform that helped them automate 75% of their operations, reduce human error, and scale efficiently.
The Problem
Before implementation, the client’s operations involved:
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Manual truck booking: Done over phone calls and WhatsApp messages.
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Paper-based records: Challenging to track trip histories, payments, or pending loads.
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No real-time tracking: Fleet visibility was limited, and ETA updates were inaccurate.
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Complex rate management: Every load had a different rate based on region, vehicle type, and load size, which was handled manually.
All of these led to:
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Delays in dispatches
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High dependency on individual employees
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Inaccurate reports and missed billing
Our Solution
We proposed a custom web and mobile solution after understanding their needs through workshops and field visits.
1. Load Management Module
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Admin can post new load requirements with origin, destination, vehicle type, etc.
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Drivers and transporters receive automated SMS/notifications.
2. Vehicle Assignment & Tracking
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Fleet managers can assign trucks to loads in one click.
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Integrated with GPS device APIs for real-time tracking.
3. Rate Chart & Billing Automation
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Master rate charts for region-wise pricing
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Auto-calculated billing based on load delivered
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Exportable invoices and reports
4. Android Mobile App (Driver App)
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Accept/reject load
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Mark pickup and delivery
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Upload POD (Proof of Delivery)
5. Reporting & Dashboard
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Visual analytics for daily trips, completed jobs, payments
- Filter by date, region, vehicle, and driver
Technologies Used
| Layer | Stack |
|---|---|
| Frontend | React.js (Web), Kotlin (Mobile) |
| Backend | Laravel PHP (API-based) |
| Database | MySQL |
| Hosting | AWS EC2 + RDS |
| Integrations | Twilio (SMS), Google Maps API, Zoho Books (for billing) |
Implementation Timeline
| Phase | Duration |
|---|---|
| Requirement Gathering | 1 week |
| UI/UX Design | 1 week |
| Development | 4 weeks |
| Testing & Feedback | 2 weeks |
| Deployment | 3 days |
| Staff Training | 2 days |
Results Achieved
- 75% of operations automated
- Dispatch time reduced from 45 minutes to 10 minutes
- Improved on-time delivery by 35%
- Reduced paper-based entries to nearly zero
- Fleet visibility increased, enhancing customer satisfaction
Client Quote:
“Our dispatchers now manage 3x more trips in a day thanks to the software. We can’t imagine going back to Excel!”
Conclusion
Custom software doesn’t have to be expensive or complex. This project is proof that a focused, modular approach can transform operations for logistics companies, even in Tier 2/3 cities.
If you’re in the logistics, manufacturing, or supply chain domain and facing similar issues, let’s talk. We can create a tailored solution for your needs.