When to use Forecast and when NOT to

Shermanโ€™s Law of Forecast Accuracy: โ€œForecast Accuracy improves in direct correlation to its distance from usefulness.โ€ The statistical forecast is only useful when determining a basis for segmentation, analyzing patterns and creating baseline forecasts. As a result, statistical forecasts about stock keeping units (SKUs) at the location level, for example, Read more…

Do you know how to break your bias?

Below are our top four demand planning best practices which will not only mitigate biases and heuristics (mental shortcuts that allows people to solve problems and make judgments quickly and efficiently), but improve overall planning performance.  1. ๐ƒ๐จ๐งโ€™๐ญ ๐ฎ๐ฌ๐ž ๐ฐ๐ก๐š๐ญ ๐ฒ๐จ๐ฎ ๐๐จ๐งโ€™๐ญ ๐ฆ๐ž๐š๐ฌ๐ฎ๐ซ๐ž. It is never good enough to assume Read more…

Do you know your Biases in demand planning

๐Ž๐ฏ๐ž๐ซ๐œ๐จ๐ง๐Ÿ๐ข๐๐ž๐ง๐œ๐ž. Overconfidence is a set of biases rooted in an unjustified certainty in the legitimacy of oneโ€™s opinions.In a study done, demand planners were more than 10% more likely to be overconfident that non-demand planners. This phenomenon is consistent with other research that finds for groups of people whose opinions Read more…

One size does not fit all

Every company has different inventory model needs. Challenges vary widely, depending on a companyโ€™s business model, size, geographic location and industry sector, among other factors. Even within a company, there are several different situations that require some form of demand sensing and response for management control. Before tackling the demand Read more…