The implementation of the project “5G, artificial intelligence and optimization techniques for next generation logistics solutions”

Solution: Optimal Freight Selection Model

At the beginning of the year, the full foundational base required for further testing of the solution was prepared. During this stage:

• real transport data were analyzed;
• testing scenarios were prepared and implemented;
• all required data sets were compiled;
• test data based on real-life scenarios were created.

Additionally:

• integration with Timocom, an international transport platform, was implemented;
• design of UX/UI for the future system (platform) was initiated.

This stage ensured a reliable foundational base for further testing and research.

Solution: Freight Transport Price Forecasting Model

During this period, development and testing of the price forecasting solution began:

• real freight market data were analyzed;
• testing scenarios were prepared and programmed;
• data sets were prepared and testing data were generated.

Additionally completed:

• integration with the Trans.eu platform;
• programming of platform functionalities;
• integration with Loctracker / Locshare telematics systems.

Solution: Optimal Freight Selection Model

During this phase, real-life experiments were launched to evaluate the practical performance of the solution:

• experiments were planned and updated;
• experimental tasks were programmed;
• pilot tests were carried out;
• obtained results were analyzed.

By the end of this stage, the first clear conclusions were drawn regarding how the models perform under real market conditions.

Solution: Freight Transport Price Forecasting Model

At the end of the year, intensive testing continued and further model improvement was initiated:

• planned experiments were carried out;
• obtained results were analyzed;
• the model was adjusted accordingly;
• initial recommendations for further development were prepared.

Additionally:

• platform development was continued;
• integrations with FleetMaster and Timocom WEB were completed;
• deployment of Teltonika CAT M1 equipment for real users was initiated.

Solution: Optimal Freight Selection Model

Completed activities:

• models were improved based on research results;
• recommendations were prepared for three most promising model variants: the most accurate, the fastest, and a medium-complexity option. 

This stage clearly identified the most promising development directions to ensure solutions that are accurate, practical, and cost-efficient.

Solution: Freight Transport Price Forecasting Model

During this part of the project, a solution was developed and refined that will enable more accurate freight transport price forecasting in the future. At the final stage:

• the developed mock-up (pilot model) was improved;
• the solution was thoroughly tested and technical preparation was completed;
• all required documentation was prepared; 
• recommendations were developed for creating the final prototype;
• data preparation for the AI module was implemented;
• task scheduling for distributed computations was implemented to allow different data users to use the module at different times;
• data exchange formats between AI modules were aligned;
• the route planning module was integrated into freight search calculations. 

Additionally completed:

• platform integration with scientific research and experimental results;
• integration with the LKW platform (transport exchange / company system);
• platform performance improvements based on tester feedback.

Solution: Optimal Freight Selection Model

The goal of this project phase was to help companies select freight more efficiently in order to maximize vehicle utilization and reduce costs. During this stage:

• mock-ups were improved and their performance speed was increased;
• an algorithm was developed and implemented to adapt the mock-ups individually for each company;
• allocation of computational resources among clients was prepared;
• result presentation to the client was implemented, providing an optimal freight proposal in a user-friendly manner with justification (detailed optimal route description);
• comprehensive testing of improved mock-ups was carried out;
• all required documentation was prepared;
• recommendations for the final solution prototype were developed;
• standardized documentation templates were created.

Completed activities:

• on October 15–16, 2025, the project and developed solution were presented at the Transport Innovation Forum;
• Timocom API integration was implemented;
• UI/UX updates were completed.