The multitool for the optimization of structures and processes
The multitool
for
the optimization
of
structures
and processes
Better planning results with the help of predictive and prescriptive analytics. We call it: The next level of planning.
Discover the potential of mathematical optimization!
The most outstanding feature of mathematical optimization is its flexibility. No matter for which area of business you want to find a solution, you will always get the optimal result by applying sophisticated methods.
With Machine Learning and Predictive Analytics accurate predictions can be made from existing data. Prescriptive Analytics and what-if scenarios enable their operational implementation by providing specific recommendations for action.
Challenge us! Together we will take your planning to the next level.
The fact that processes are complex does not mean that they have to be solved in a complicated way. With mathematical optimization, the solution is often quite simple.
Mathematical optimization: at home in all industries!
Mathematical optimization can be applied in almost any sector where there are complex processes with many cross-dependencies.
Our optimization experts have extensive experience in many different sectors. Not only is this experience reflected in the high standard of our software; our clients also benefit as consulting always takes place at eye level.
Please contact us!
DISCOVER THE OPTANO CLOUD DEMO.
You would like to learn more about OPTANO without any obligation? In our Cloud Demo we have prepared some common examples in order to demonstrate how optimization actually works. With the help of three use cases we show you how entire networks can be optimized (example: Offshore Windpark), how you can find the right location for warehouses or production facilities (example: facility planning) or how an optimal route can be planned (example: the Traveling Salesman Problem). Convince yourself of OPTANO’s capabilities and discover whether it is the best option for you.
Because sometimes only seeing is believing.
News
Interview: Optimization Meets Modern AI
Mathematical optimization is a powerful tool for significantly and sustainably improving planning processes in companies. In existing systems, it can deliver double-digit efficiency gains without requiring compromises in other areas, such as service levels or sustainability. The downside of such systems, however, is that increasing complexity makes them harder to use, and optimization results are often difficult for humans to fully understand.
Insights: SKU Consolidation in Consumer Goods Logistics
How mathematical optimization reduces complexity and cuts costs in consumer goods logistics.
Insights: Optimization instead of stagnation
Global supply chains, volatile markets, and rising costs are increasingly pushing inbound logistics in the automotive industry to its limits. Anyone still using Excel for planning today risks more than just inefficiency. Learn how modern optimization solutions help create transparency, improve decision-making, and ensure security of supply—read now.
Interview: Optimization Meets Modern AI
Mathematical optimization is a powerful tool for significantly and sustainably improving planning processes in companies. In existing systems, it can deliver double-digit efficiency gains without requiring compromises in other areas, such as service levels or sustainability. The downside of such systems, however, is that increasing complexity makes them harder to use, and optimization results are often difficult for humans to fully understand.
Insights: SKU Consolidation in Consumer Goods Logistics
How mathematical optimization reduces complexity and cuts costs in consumer goods logistics.
