Measuring Forecast Error – Constrained or Unconstrained Forecast?

Is it better to correct the actual sales for supply constraints and come up with a version of the actual demand that is unconstrained?

Measurement is an ex-post event that should not affect the actual forecasting process. If the Sales force is encouraged to think about a constrained forecast, the organization will lose visibility to the true unconstrained demand.

One option will be to use a disciplined process to measure true demand every month and evaluat the unconstrained forecast with this version of true demand.

What To Measure or Forecast Accuracy – SKU/DC, SKU/National, SKU/Plant?

Although most demand planners and COE professionals understand the mechanics of these measures, there is some confusion on what to measure and why.
Measurement depends on what you are trying to drive – what you are using the forecast for? So level of aggregations matter as well. We explain some examples on what circumstances drive which measures.

Is Statistical Modeling an After thought?

I have been preaching Usability for the past few years.

Put together fine tools – But help the users in making the transition to the tool – give them better understanding – Make the new tool more usable!

Give them the reports they need. Provide them an exception based workflow!

APO has good statistical models. They will help you move the peanut forward but only if they are understood and leveraged.

We just re-launched the marketing campaign for our Usability Consulting. Model tuning and model matching to product profiles are important elements of the Usability training.

Once implemented the Usability project will harmonize the use of models across planners from various geographies for the same business/product family. There will be streamlined work flow.

Automatic Outlier Detection – Blessing or Curse?

One of the puzzled questions that Demand Planners ask in our training workshops is why their software produces a flat forecast 90% of the time.  An expensive software that took … Read More