Simulation

Companies generally have a large amount of data available in their ERP systems. This data can be used to calculate potential savings generated by Inventory Optimiser. Our support team can forecast simulations and purchase orders based on historical sales data for a predefined period. The impact of changed preconditions in the supply chain such as lead time, service levels and order frequencies can easily be viewed to simplify management decisions.

These simulated forecasts can also be compared to the actual orders placed by purchasing managers for a defined historical period to evaluate total savings from the investment in Inventory Optimiser. The potential savings and the ROI for the whole project becomes clear and the decision process becomes easier for potential buyers.

 Lead time
 Service level
 Order frequencies
 Minimum order quantities

"We were quite surprised by the results from the simulation. We were obviously overstocked as the system was producing 25% lower inventory levels, but at the same time there was a remarkable reduction in stock-outs. After viewing the simulation results we were certain that we needed to buy this solution."- Geir Gunnlaugsson, Logistics manager, Parlogis