Increasing efficiency in the area of operational transportation management

A new era is dawning. Global, continental and regional supply chains are facing significant challenges. Digital maturity and the automation of processes in the operational management of supply chains are becoming decisive competitive factors for industrial companies.

Climate change

The transportation and logistics sector already accounts for around 25% of global carbon dioxide emissions. Without far-reaching measures, the European Environment Agency expects the proportion of CO2 emissions in this sector to increase to up to 40% by 2050. The industry has a crucial social responsibility when it comes to managing supply chains.

Freight capacity is being reduced

The planned EU Mobility Act poses particular challenges for companies that cover transport capacities with an indispensable and proven Eastern European driver contingent. In conjunction with the need to return drivers and vehicles to their home location at short, regular intervals, it must be assumed that the already critical capacity for international road transportation will fall by a further 20-25%.

Rising transport prices

As part of the same EU mobility package, drivers must be paid according to the minimum wage of the country in which they are based during the regulated period of deployment. In conjunction with the shortage of drivers that already exists today and the resulting sharp rise in wage costs, the aforementioned legal changes will have a massive impact on the cost structure of transport companies.

Successful companies use digital solutions to efficiently manage supply chains.

The software solution from S2data is already solving the challenges of the new age through optimized, algorithmic transport planning – with the aim of keeping unnecessarily planned trucks off the road. In order to plan more cost-efficiently day after day, the mathematical scheduling software can, among other things, pack materials in cargo space in an optimized manner and, taking into account storage and capital commitment costs, fill them with advance demands for the following weeks in order to simply save on later transports. Even with fluctuating demands, the intelligent algorithm selects FTLs, LTLs and milk runs based on the demand figures and the desired range control in the existing transport network in a cost- and CO2-optimized manner.

In contrast to limited Excel solutions, planners have access to an easy-to-use, standardized tool for automated transport planning, including evaluations, which integrates seamlessly into the ERP landscape via API/EDI. Thanks to the flexible mathematical model in the software, the algorithmic planning can be individually adapted to customer-specific requirements. By using our software, many automotive customers are already benefiting from transport savings of up to 25% on delivery call-offs and are able to plan more efficiently than their competitors thanks to automated milk run/FTL/LTL control, even when demand figures are low at short notice.

In a tense environment with rising transport prices and less available freight capacity, it is more important than ever to plan transports efficiently and make optimum use of available resources through automated logistics processes from both an economic and ecological perspective.