95% faster response time
From 4 seconds to 160ms
Instant data feedback
Real-Time Truck reporting for smart decisions and planning
98% faster in payroll speed
From 8 hours to 10 minutes payroll processing time
Real-Time Work Report
Truck drivers now have instant worked-segments reports
Challenge
The client needed a modern operational system for a large logistics organization, capable of managing over 6,000 drivers and more than 3,000 trucks at any given moment. The existing model relied heavily on manual work coordinated by an in-house support organization of 300+ people, which created delays, limited visibility, and significant operational overhead.
They also required a reliable scheduling capability that could be accessed by all employees, so everyone could clearly see when they were working, what routes they were assigned, and what work had been completed. The goal was to replace fragmented tooling and manual coordination with a single, always-available system of record for daily logistics execution.
Solutions
We implemented a web and mobile application that consolidated the logistics department’s day-to-day operations into one platform, covering planning, execution, and reporting. The solution reduced manual intervention by digitizing core workflows and connecting systems that previously required human coordination, enabling faster decisions and a more self-serve experience for both operations teams and drivers.
A “Mission Control” experience was introduced to give the logistics department real-time operational oversight at scale, while also improving the employee experience through clear scheduling and route assignment visibility. This created a consistent operational layer that could support high concurrency and continuous activity throughout the day.
Technologies
The solution was built using MuleSoft for integrations and orchestration, with Python services and AWS Lambda for scalable, event-driven processing. The front end was delivered through React (Classic) for web and React Native for mobile, with C# used where required for supporting components.
Core data storage and reporting leveraged PostgreSQL, with Linux-based hosting and operational tooling. Fleet telemetry and policy enforcement data was integrated through Samsara, enabling real-time visibility and actionable operational insights.
Innovations
The logistics department received a “Mission Control” dashboard capable of tracking more than 3,000 trucks in real time, enriched with business intelligence that connected truck activity to operational context. This included who was driving, which route was being executed, what products were being delivered, and real-time performance indicators such as speed and compliance.
The platform also introduced instant feedback loops through real-time truck reporting and real-time work reporting, giving both operations and drivers immediate visibility into worked segments and shift activity. Policy enforcement notifications—such as alerts for phone usage while driving—helped support safer operations and more consistent rule adherence.
Team Structure
Delivery was handled by a single focused team consisting of three developers, one QA, and one tech lead. This structure supported rapid iteration while maintaining quality, operational stability, and architectural consistency.
The team combined product-style delivery with strong technical oversight, ensuring the solution could scale to large operational volumes while remaining maintainable and easy to evolve as the client’s needs changed.
Results
The new platform delivered significant performance and operational gains, including a 95% faster response time—improving from roughly 4 seconds to approximately 160ms—supporting a much more responsive experience for users. Real-time fleet reporting also enabled instant operational feedback, improving visibility and reducing reliance on manual coordination.
Payroll processing time was reduced by 98%, dropping from around 8 hours to roughly 10 minutes, and drivers gained real-time worked-segment reporting so they could immediately see recorded work activity. Overall, the client reduced dependency on a large manual support function and gained a scalable, real-time operational system for day-to-day logistics management.
