The Smart Forecaster
Pursuing best practices in demand planning,
forecasting and inventory optimization
Why pick arbitrary Service Level Targets? Learn how to select automatically the optimal Targets @scale minimizing total costs for your business.
There are unavoidable tradeoffs between inventory cost and item availability. The Smart Inventory Optimization (SIO) app calculates all the key metrics to expose those tradeoffs. You can try “what-if” experiments such as “What happens to shortage cost if we raise the reorder point from 5 to 10?”. Better yet, you can let SIO find the optimal operating policy, e.g., the lowest cost combination of reorder point and order quantity that guarantees a 95% service level.
Do your statistical forecasts suffer from the wiggle effect?
What is the wiggle effect? It’s when your statistical forecast incorrectly predicts the ups and downs observed in your demand history when there really isn’t a pattern. It’s important to make sure your forecasts don’t wiggle unless there is a real pattern. Here is a transcript from a recent customer where this issue was discussed:
How to Handle Statistical Forecasts of Zero
A statistical forecast of zero can cause lots of confusion for forecasters, especially when the historical demand is non-zero. Sure, it’s obvious that demand is trending downward, but should it trend to zero?
Smart Software’s article has won 1st place in the 2022 Supply Chain Brief MVP Awards Forecasting category!
Smart Software is pleased to announce that our article “Managing Inventory amid Regime Change” has won 1st place in the Forecasting category of the 2022 Supply Chain Brief MVP Awards.