Everysens, leader in supply chain visibility solutions, announces the signature of a contract with TotalEnergies, a multi-energy group, to deploy the first rail Transport Management System (TMS) software powered by artificial intelligence.
Learn moreTotalEnergies transports millions of tonne-kilometres of goods per year from its production sites to its storage depots and end customers. As part of its group-wide innovation process, TotalEnergies has identified the digitalisation of its transport planning processes as a real performance lever.
Everysens and TotalEnergies will start their collaboration in Germany, an important hub for TotalEnergies' rail logistics in Europe, before extending the deployment to the rest of Europe, once the business gains are confirmed.
Youri Trinh, Supply Sales and Optimization Manager of TotalEnergies in Germany said: "With Everysens' solution, we are digitizing a complex process for planning our product shipments by rail. This simplifies the collaboration between many stakeholders, internally with our production site, our depots and externally with our multiple rail partners and of course with our customers. This will enable us to plan, execute and monitor our logistics operations more efficiently and to optimise them. Ultimately, we want to better satisfy our customers while optimising our logistics costs.
Youness Lemrabet, CEO of Everysens adds: "This first deployment with TotalEnergies in Germany is a strong indication of the level of industrialisation of our solution. Being part of a project on this scale also confirms our unique value proposition in the petrochemical market with software that meets the challenges of tomorrow's rail transport. ”
By launching the very first TMS dedicated to the railway market, assisted by Artificial Intelligence, Everysens enables its transport suppliers to manage the entire transport chain in a collaborative manner by sharing information in real time.
Everysens has also launched a second technology brick with Ralf, the first ever digital transport assistant. Powered by AI, Ralf enables operational teams to proactively anticipate hazards rather than react to them.
Today, rail transport requires synchronisation between a dozen or so different players and IT tools to centralise all the information needed for planning. This data compilation is often manual or oral, and therefore time-consuming.
"Ralf" allows users to exchange information in real time on potential hazards, and to automate the construction of transport plans thanks to predictive information and the control of field data.
