Imagine having to add a new customer or supplier to your existing logistics network, how would you measure the impact of this new arrangement? What happens if you lose a key supplier, or have to change routes because of an unplanned disruption? What if you need to change volumes, capacity or rates, what impact will these have on your transportation operations?

Wouldn't it be great if you had a better idea on the potential costs and savings you may achieve based on different scenarios? When it comes to logistics, accurate planning is crucial, and current applications are inadequate as most utilize simplified models and aggregate cost estimates. As a result, optimization and planning algorithms can be different from your actual transportation operations, and result in policies that cannot be implemented because they cannot be effectively applied to actual real-world conditions.