International Trade Digitalization & Paper Work Automation

Modernizing the trucking dispatch tool to provide flexible infrastructure, advanced analytics, and the ability to effectively manage a growing fleet. Automating route planning and dispatching to reduce manual effort and minimize fuel consumption. Providing access to real-time traffic, weather, and road condition data.

SaaS route planning software development to accommodate the growing delivery volumes. Integration of ML algorithms for real-time traffic data analysis and automated route optimization. Incorporating fleet management features to track driver performance and ensure real-time oversight of vehicle locations for better visibility.

Building supply chain analytics technology software equipped with predictive analytics, machine learning, and AI algorithms. Overcoming data fragmentation, consolidating supply chain data from ERP systems, IoT sensors, GPS devices, and other sources. Creating user-friendly dashboards and reports for straightforward data access.

Development of fleet management SaaS with advanced features. Improved fleet management with optimized routes and lower fuel consumption. Streamlining operations, reducing costs, and enhancing overall efficiency due to real-time tracking and data-driven decisions.

Development of cloud-based warehouse management software to optimize and automate the warehousing operations of a 3PL provider. The logistics company operated with a legacy system, which didn’t support the integration of automation tools and required manual entries. To help the company remain competitive in a digitalized logistics environment, we have developed a comprehensive cloud-based WMS solution. Our development team utilized the latest cloud-computing practices to provide a scalable SaaS product for the client’s digital transformation.

Refactoring and modernization of legacy software for a freight forwarder with a global client base. Enhancing this web-based transportation management system with new capabilities and its subsequent maintenance.

Development of a GPS fleet tracking solution that uses the Internet of Things (IoT) data to provide visibility into what’s happening on the road in real time and allow interventions even if the truck is thousands of miles away. Optimizing the system’s code and improving its integration capabilities so it can display up to 1000 trucks on a map simultaneously and visualize their movements in real time.

Development of an MVP version of a mobile app that can track the drivers working hours and provide the payment for the performed work.

Complete audit and further development of a shipping platform that enabled new third-party services integration, saved costs and significantly decreased the server load.