Demand Forecasting

Slim4 forecasts future demand and calculates the optimal stock levels. This calculation takes into account seasonality, trends, promotions and volatile sales data. Slim4 is based on a Management by Exception principle. The system will only show those articles, which might need manual intervention. Management by Exception leads to focus and better results.

Seasonality

A lot of articles within retail have recurrent sales patterns. It is important to increase stock levels at the start of the season and lower them at the end. Slim4 automatically recognises seasonal patterns on SKU or any aggregated level.

Trends

Each article has its own product life cycle. Slim4 recognises trends going up and down and calculates the corresponding stock levels. This results in maximum availability during the life cycle and no excess stock at the end of a life cycle.

Promotions

Promotions lead to disruption of the standard inventory process. Slim4 integrates promotions within the daily activities by planning future promotions (and 'after dip' effect) and cleaning historical sales data for promotional sales.

Sales excesses

Extreme peak sales may lead to an amplification effect. Out of stock situations can lead to declining sales. Slim4 can recognize both extremities and filters them from the calculation of the base forecast, so this remains accurate.

Management by Exception

90% of all products perform as expected and do not need any attention from users. Automatic 'exception reports' make the remaining 10% visible for the users. This occurs both on the forecasting and on the inventory side. Users can take immediate action. Management by Exception leads to focus and efficiency.

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