Smart Technologies for Sustainable Future: Milšped's Innovations Within ESG Framework

One of the biggest investments in the last few years is the implementation of an integrated robotic system for the sorting and storage of goods based on the use of artificial intelligence, which enables not only more efficient inventory management, but also the preparation of goods for delivery. The use of this system complies with the principles of responsible business and sustainable development, where even 99.7% of the robot`s working time was used in an optimal way with a significant reduction in electricity consumption.

In parallel, the fleet is also being modernized: investments in electric trucks and other vehicles are following the goal that by 2030, all forklifts in warehouses and terminals should be replaced by electric ones with lithium-ion batteries, while in 2023, they installed the first electric chargers in Belgrade and Niš, with the vision that every location of the company will get at least one charger by 2030.

The company says that they have introduced measures to reduce our carbon footprint and implemented environmentally friendly solutions in transport, such as eco-driving training, route optimization and the transition to the EURO 6 fleet - this means that the company acquires or uses vehicles that meet the EURO 6 standard, that is, they have engines that produce considerably less harmful gases. In addition, Milšped focuses on intermodal solutions that promote sustainable modes of transport and significantly reduce CO₂ emissions, enabling greater environmental efficiency in the provision of services to clients.

As a key element of green logistics in Milšped, Intermodal transport combines railway and road transport through the MBOX terminal in Popovac — the only one of its kind in southern and central Serbia, built according to European standards. The partnership with the Chinese company Shijiazhuang International Land Port made it possible to establish a direct rail transport line between the Chinese province of Hebei and Serbia, which significantly affects transport optimization.