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Insights: Transport Mode Optimization
Optimize transport mode selection to cut costs, reduce CO₂ emissions, and improve service levels with data-driven mixed-mode logistics strategies.
4. November 2025
Optimize transport mode selection to cut costs, reduce CO₂ emissions, and improve service levels with data-driven mixed-mode logistics strategies.
How mathematical optimization reduces complexity and cuts costs in consumer goods logistics.
For companies, trade-offs are an everyday reality and a challenge that needs to be mastered.
The optimum balance between cost efficiency and service level is one of the objectives of the Supply Chain Triangle.
Denise Lelle and Dr. Sven Flake in an interview about the OPTANO workshop “Identifying optimization potential”.
For many companies, the topic of data preparation seems like a huge mountain that seems impossible to climb. However, it is definitely worth tackling the climb.
We explain how optimized deployment and route planning works and the advantages it offers.
Geopolitical tensions and tariff adjustments add uncertainty to supply chains. How can mathematical optimisation help with these challenges?
Supply chains in the automotive industry are under pressure. How can mathematical optimization help?
How to achieve your optimization goals in collaboration with OPTANO.
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