ABC Classification (Pareto Analysis) in Forecast Pro TRAC


ABC classification, also known as Pareto analysis, is a useful method for classifying forecast items based on their relative importance to the organization. Many companies adopt different procedures for creating, reviewing and monitoring forecasts based upon an item’s classification. This enables the forecasting team to focus its efforts on those items which have the greatest impact to the organization.

Items are typically categorized as follows:

  • A: important high volume items
  • B: medium volume items
  • C:  slow moving items

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Identifying Problems in Your Data & Forecasts

The recording of our recent educational one-hour Webinar 
is now available for viewing on-demand

Learn about helpful tools that make it easier for you to focus on the specific items that need your attention:

  • Outlier detection for highlighting anomalies in historic data.
  • Exception reports for identifying problems in the forecasts.
  • Item reports for quickly defining and reviewing subsets of your data.
  • Filtering & ABC Categorization (Pareto Analysis) for classifying items, allowing you to focus on the items that have the greatest impact on your bottom line.

You can register now for our next live Webinar Integrating Statistical Forecasts with Other Input to Create a Demand Plan for S&OP