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Why probabilistic forecasting is better for inventory optimization

ToolsGroup

In this post we’ll explore how probabilistic forecasting not only creates better forecasts, but also improves inventory optimization by improving the stock levels at store and warehouse locations in your distribution network. Inventory optimization (IO) systems can then use this information to better identify the optimal inventory targets.

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The Long Tail of the Supply Chain: Part 2 - Pareto is Dead

ToolsGroup

In the recent Consumer Goods Technology (CGT) web seminar entitled “ Driving Results Despite Item Complexity ”, one slide quoted her as saying previously,“If the products have a skewed distribution and it is your desire to meet a higher service level, then the deterministic technologies of APS and ERP are not designed to meet your needs.”.

Modeling 120
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3 Key Multi-Echelon Inventory Optimization Challenges and How to Overcome Them

Arkieva

When it comes to inventory optimization , companies often have to play a delicate balancing game to ensure that they have optimal levels of inventory. If your forecast numbers are too high, you run the risk of holding costly excess inventory and reducing available cash on hand. in multi-echelon inventory optimization.