• Real networks follow complex sets of rules that describe the supply chain logic.
• Long-term decisions about service, capacities, and costs can only be made if all factors are considered together.
• Simulations require large volumes of data to identify the long-term effects of various network strategies.
• There should be a way to simulate new ideas in a virtual world before implementing them in the real world so as to better assess the consequences, risks, and opportunities.

Available sources of data are leveraged to define preparatory and transformational steps toward creating a uniform data model. The simulation engine is configured on the basis of restrictions and equipped with parameterization options that offer a simple, intuitive interface for modifying the simulation rules. “What if” scenarios can be simulated, then methodically compared and saved. Comprehensive visualization options in the form of maps, diagrams, and reports make it possible to quickly understand and compare results.

New strategies for your network

Simulation with real data lets you find the optimal network strategy – don’t guess, simulate!

Cost transparency

Visibility of costs, service, and capacity utilization rates – in both the current situation and future scenarios.

Action instead of reaction

Prepare your network proactively for future changes such as increased demand, changes in inventory management, and new service requirements.