Effective Strategies for Forecasting a Product Hierarchy

Transcription

1 Effective Strategies for Forecasting a Product Hierarchy Presented by Eric Stellwagen Vice President & Cofounder Business Forecast Systems, Inc. estellwagen@forecastpro.com Business Forecast Systems, Inc. 68 Leonard Street Belmont, MA USA (617)

2 Eric Stellwagen President, CEO & Cofounder of Business Forecast Systems, Inc. Coauthor of Forecast Pro product line. Over 30 years in forecasting. Currently serving on the board of directors of the International Institute of Forecasters and on the practitioner advisory board of Foresight: The International Journal of Applied Forecasting.

3 What We ll Cover Introductions Basic Concepts Reconciliation Techniques Constructing the Hierarchy Examples Summary Q&A

4 A Sample Hierarchy Total Sales Brand A Brand B Brand C Group Levels Retail Commercial Cans Bottles 6-Pack 12-Pack Item Level Corporations typically deal with multiple levels of aggregation and require consistent forecasts at all levels.

5 What Are the Forecasts Used For? Item-level forecasts Drive production, purchasing and inventory control Short horizons are important Intermediate-level forecasts Drive marketing and revenue planning Medium horizons are important Upper-level forecasts Guide big picture decision making Medium-to-long horizons are important

6 Should You Strive for One-Number Forecasts? Depends on the environment. The larger the company, the harder this is to achieve. Communication among the different functional groups is very important. This is a primary goal of an S&OP process.

7 A Very Simple Hierarchy Total Cans 6-Pack 12-Pack

8 Common Reconciliation Techniques Bottom-Up Create model-based forecasts at the lower level. Construct upper-level forecasts by summing nested lower-level forecasts. Top-Down First, create a model-based forecast at the top level by forecasting the aggregated history. Then, create model-based forecasts at the lower levels. Finally, apply proportionality factors to lower-level forecasts so that the forecasts sum to the top-level forecast. Proportional Allocation Disaggregate higher-level forecasts by applying proportionality factors. This method would be appropriate when proportions are constant and known.

9 Reconciliation Techniques Example Total Cans 6-Pack 12-Pack Model-Based Bottom-Up Top-Down Proportions (50-50) 6-Pack Pack Total Cans In a hierarchy with 3 or more levels, combinations of top-down and bottom-up approaches can be applied (i.e., middle-out).

10 Choosing a Reconciliation Approach Group-level data is higher volume and often exhibits more structure than lower-level data this argues for top-down. If two items exhibit distinctly different behaviors, then a single model is unlikely to perform well this argues for bottom-up. If relationships between levels are not changing in time, then forecasting based on history does not add value this argues for proportional allocation.

11 Hierarchical Data Total Sales Brand A Brand B Brand C Retail Commercial Cans Bottles ½ Kegs Full Kegs 6-Pack 12-Pack

12 Choosing a Reconciliation Approach Start by determining if proportional allocation should be used. Try to think like your consumers how do they view the items? At times, lack of structure at the lower levels may force you to use top-down approaches. Measuring empirical performance is always an option. Most multiple-level forecasts should combine top-down and bottom-up approaches.

13 Setting up the Hierarchy The units of measure need to be comparable. The hierarchy should be as simple as possible. Discontinued items may need to be included to ensure group totals are correct. The structure of the hierarchy should be selected for forecasting, NOT for reporting.

14 Two Alternative Hierarchies Total Business Residential Public Main Other State 1 State 2 Etc. State 1 State 2 Etc. Total State 1 State 2 Etc. Business Residential Public Main Other Basic Addline Other Coin Access

15 Example

16 Summary Many organizations forecast hierarchical data and require forecasts that are consistent across levels. Defining the hierarchy to facilitate accurate forecasting is important. Selection of an appropriate reconciliation strategy is also important and directly impacts forecast accuracy.

17 Our Next Webinar The Ins and Outs of Exponential Smoothing October 22, :30 p.m. EDT Presented by Eric Stellwagen, President, CEO and Co-founder, BFS Learn how this extremely popular forecasting technique works and how to apply it effectively. The presentation will also cover the new NA-Constant Level exponential smoothing model recently implemented in Forecast Pro. Visit to sign up!

18 Forecast Pro User Conference 2015 September 28-30, 2015 in Boston, Massachusetts USA Monday: Optional pre-conference workshop Understanding and Implementing the Forecasting Methods in Forecast Pro presented by Eric Stellwagen Tuesday & Wednesday: Main Conference Intimate event with maximum of 60 users Early bird discounts are still available Visit for more info and to register

19 Forecast Pro User Conference 2015 September 28-30, 2015 in Boston, Massachusetts USA A sample of the sessions being presented at the User Conference: Unleashing the Power of the Override Grid Improving Forecast Pro Performance What Next? A Roadmap for Continuous Forecast Improvement Case Study: Implementing Forecast Pro TRAC across Caterpillar s Independent Dealer Network

20 Forecast Pro Examples from today s Webinar used Forecast Pro To learn more about Forecast Pro: Request a live WebEx demo for your team (submit your request as a question right now) Visit Call us at

21 Questions?

22 Thank you for attending