SAF DataMonitor for Constant Data Monitoring

Every Item under Steady Control

Thanks to its easy-to-use user interfaces, SAF DataMonitor gives users a clear overview and control of the results of the replenishment process. The user has quick access to all order handling related data. If it’s your job to administer a large number of stores with thousands of products, it is easy to lose control.
Thanks to the intelligent SAF DataMonitor user interfaces, users are now in a position to keep an eye on their item at all times. The Web application visualizes the data of SAF SuperWarehouse and displays all order handling relevant data on an item by item level. Condensed data is available for review at the corporate, store and assortment levels. The application processes information analytically and displays it in graphic or tabular form. SAF DataMonitor is a very user-friendly solution. Users can easily check the current inventory status at all times with the user interface. They can also verify whether the right product will be available at the right time at the right location.

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Copyright © 2006-2008 SAF Simulation, Analysis and Forecasting AG · Imprint

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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