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EazyStock classifies all items into A, B and C categories based on volume, value of annual usage, product value and frequency. Depending on your required service levels, EazyStock then calculates which items you should have in stock and which should be non-stocked.
This dynamically optimizes the product mix over time as market conditions change. Products are controlled by the inventory parameters set in the system, which drive the optimization of stock levels. Inventory and replenishment parameter data can be integrated and pushed directly into any enterprise resource planning (ERP) system.
The forecasting functionality adds information about demand patterns and this combined ensures the right balance between working capital and service levels.
What would the consequences be if we aimed for higher service levels? With EazyStock you don’t have to guess. The simulation engine enables you to predict the effects of strategic and tactical changes by testing different parameter settings. Different scenarios for inventory policies and service levels are tested in real time and the “what-if” simulation shows what will happen with the inventory in terms of future capital invested and target service level.
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