Effective demand forecasting software uses dynamic classification for all items individually, based on their historical demand patterns. These statistical forecasts can be enriched with marketing and planning information in order to achieve the highest possible forecast accuracy.
Slim4 automatically selects the right forecasting model for each product, no matter if the demand pattern is normal, irregular, erratic or lumpy. Slim4 updates this information continuously so stock planners can spend time managing daily exceptions rather than managing the daily business in the ERP software. The outcome of the forecasting process is integrated with the inventory management module.
Demand Classification Methodology (DCM)
Automatic selection of
right forecasting model for each
Ongoing calculation of trends & seasons
Forecasting complete Supply Chain:
multi level & multi location
Aggregation on product group level
Forecasting 100% of the assortment:
including lumpy and irregular demand
Life cycle management