Outdated vehicle tracking systems often result in excessive fuel consumption, unpredictable maintenance issues, and longer delivery cycles. These inefficiencies make it challenging to meet growing customer expectations for timely deliveries.

We develop innovative fleet management solutions using AWS IoT Core for real-time vehicle tracking and Azure AI for predictive maintenance. Our platform also includes driver behavior monitoring, carrier collaboration, load planning, and navigation features. 

This enables fleet managers to schedule preventive maintenance, optimize fuel consumption, and minimize vehicle downtime.

Example: A last-mile delivery company managing 150+ vehicles may struggle with unexpected breakdowns and fuel wastage. After implementing telematics solution, they can expect a significant drop in on-road failures and significantly lower fuel spend. This can result in improved delivery SLAs and operating margins.

Static or manually planned delivery routes often result in longer travel times, wasted fuel, and driver fatigue, especially during peak traffic hours or when road conditions are changing. These inefficiencies can cause delays in shipments and increase operational costs.

We build advanced route optimization systems powered by real-time tracking and mapping, Google Maps API, and AWS Machine Learning. These systems analyze live traffic conditions, vehicle availability, and delivery priorities to recommend the most efficient paths. 

Integrated admin dashboards offer comprehensive visibility into route performance, while plate recognition and dispatch tools streamline load distribution and track vehicle movement. Our platform also takes into account road infrastructure data to avoid known bottlenecks and ensure route safety.

Example: A food delivery chain operating in metro cities may experience frequent late deliveries during peak hours. By implementing an intelligent route optimization system, they can expect more efficient routing, increased on-time deliveries, and a notable reduction in fuel and labor costs.

Standard logistics tools often fall short when it comes to handling specialized operations, such as airport logistics, factory workflows, or secure user access. These gaps lead to delays, manual dependencies, and scaling issues.

We build tailored logistics platforms, starting with PoC & MVPs using tools like Firebase, AWS Lambda, and Node.js for rapid validation. We then scale to complete systems using React, .NET Core, and PostgreSQL. These platforms support module customization, apps, and plugins, secure authorization (via OAuth/Azure AD), and real-time notifications using Firebase Cloud Messaging or Azure Notification Hubs.

With this setup, teams can automate tasks, reduce manual work, and run complex logistics operations with greater speed and control.

Example: An airport ground operations team may rely on spreadsheets for crew scheduling. By building an aviation logistics platform, they can expect faster task assignment, live notifications, and improved shift coordination, resulting in reduced downtime and increased throughput.

Logistics businesses often adopt technology haphazardly without a clear roadmap, resulting in fragmented systems, manual workarounds, and increased operational costs.

We provide consulting services across business analysis, SDLC optimization, QA strategy, and digital risk management. To achieve this, we utilize tools such as Jira, Confluence, Postman, and Azure DevOps to define scalable technical roadmaps and streamline development, testing, and release processes.

Example: A regional freight company may face challenges due to outdated tools and inconsistent workflows across departments. After engaging with us for logistics digitalization consulting, they can expect a streamlined system architecture and faster delivery processing.