In a highly competitive logistics market, preparing well-founded commercial offers requires handling large volumes of orders across a complex logistics network. Transport costs are influenced by many factors such as distance, transport modality, consolidation opportunities and network structure, while the number of possible combinations grows exponentially with order volume. Solving this manually, for instance in spreadsheets, quickly becomes impractical.
Together with H.Essers, we built a routing optimization solution that automates this complexity. The tool takes a set of transport orders as input and determines how they can be transported most efficiently through the H.Essers network. The result is a simulation platform that reveals opportunities for consolidation, modal shift and efficiency gains, supporting H.Essers in structuring better logistics proposals and having more substantiated conversations with customers.