SOFIA — Transmetrics, a cutting-edge AI platform dedicated to optimizing the supply chain, has announced a groundbreaking collaboration with DB Schenker, a global logistics leader, to revolutionize domestic land transport in Bulgaria. Harnessing the power of Transmetrics’ AI algorithms, DB Schenker aims to enhance transit times for groupage shipments and optimize vehicle utilization across its Bulgarian network, according to a press release published on EuropaWire.

The project marks a significant milestone for DB Schenker’s operations in Bulgaria, introducing advanced AI methodologies such as neural networks, Bayesian models, and stochastic optimization. By leveraging these innovative technologies, DB Schenker seeks to meet evolving customer demands while streamlining its supply chain operations within Bulgaria and beyond. Notably, DB Schenker’s branch office in Sevlievo, North Central Bulgaria, will serve as a pivotal transportation hub for various European and Caucasus trade lanes.

Working closely with Transmetrics, DB Schenker conducted comprehensive network simulations and scenario analyses to identify optimal solutions for its transport infrastructure. These simulations, powered by Transmetrics’ AI algorithms, enabled DB Schenker to evaluate different demand scenarios and network parameters, ultimately optimizing linehaul plans and network efficiency.

Dimitar Pavlov, Head of Business Development at Transmetrics, emphasized the significance of data-driven logistics planning: “This project underscores the pivotal role of AI algorithms in strategic logistics planning. With rising demand, data-driven decision-making is crucial, and we are grateful to DB Schenker for partnering with us on this transformative initiative.”

Zoran Lazoroski, Managing Director of DB Schenker in Bulgaria and North Macedonia, expressed confidence in the project’s outcomes: “By leveraging AI and innovative simulations, we have significantly enhanced our network setup in Bulgaria, optimizing internal traffic and domestic lines for greater efficiency and reducing our ecological footprint.”