A typical result in automatic re-ordering is that the manpower for ordering is reduced by 50 %, stock is reduced by over 20 % while at the same time sales is increased through a better product presence. Write-offs on perishable products are significantly reduced.

For DEWAS III and sigma/Store special forecasting and ordering methods have been developed.

Forecasting

The underlying idea of forecasting is the intelligent weighting of the past sales figures. The methods distinguish slow and fast movers. Unusual behaviour of sales is automatically adapted. Special conditions in retailing like heterogeneous sales course within a week or starting resp. ending products as well as substitution or follow-on products are taken into account. Safety stock is calculated automatically based on pre-set service levels.

Secondary methods take into account problems with: Promotions, moving holidays, seasonal events . By means of these improvements a more accurate forecast is achieved, especially for promotions, significant stock reductions will be realised.

Volume related ordering

Typical conditions like several order and delivery days a week as well as the time for shelving are parameters in calculating of minimum stock depending on the pre-set service level. Through parameter settings rounding to higher order units e.g. from box to palette can be controlled. Slow moving products are treated by special procedures.

The order procedure can be organised in a flexible way as an order suggestion sent to a wireless PDT or tablet PC and which can be changed manually or sent by the system as an automatic order.

Simulation programs

To test the influence of the effects of automatic ordering, Superdata has developed simulation programs. The input for the simulation is retrieved from the statistical database provided by sigma//Store . In influencing factors of the various parameters on costs, stock and service level can be checked easily and reliably without much effort.