SAF OptimalPackSize for a Precise Cost Analysis for All Sizes

Manual labor associated with tasks, such as unloading, unpacking, stocking, and moving all result in additional costs that are added to ordering, storage, and warehousing costs, as well as expenditures for interest, loss and theft. In their totality, they represent a significant cost pool. However, costs per item vary considerably depending on packaging sizes and delivery cycles.

In the context of SAF OptimalPackSize experts of SAF analyse pack size is the most cost efficient, based on existing conditions and in relation to other options. The result not only provides valuable information on optimization potential hidden to date, but also forms a well-founded basis for negotiations with suppliers.

Benefits:

Minimized process costs
Insight into the cost relevance of various package sizes
Identification of main cost drivers
Assortment optimization
Provision of a basis for supplier negotiations

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The SAF Simulation, Analysis and Forecasting AG is specialized upon development and sales of standard software for automatic ordering and forecasting for retail, logistics and industry. The SAF philosophy is based upon the demand chain management approach which conceives the customer as the key driver of the value chain. The solutions of SAF make room for significant cost savings. Not only does SAF improve the accuracy of sales and inventory forecasts but also optimizes the logistical framework. This results in lower inventory levels, improved product availability and equally important, greater customer satisfaction. Finally, the SAF products help to develop key competitive advantages throughout the value-added chain.

The SAF software solutions include products for automatic ordering, forecasting systems, CPFR concepts, vendor managed inventory as well as analytic tools to optimize the logistical framework.

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