Custom Method to Forecast Seasonal Products

Ganesh Sankaran (), Federico Sasso (), Robert Kepczynski () and Alessandro Chiaraviglio ()
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Federico Sasso: Deloitte Consulting AG
Alessandro Chiaraviglio: Polytechnic University of Turin

Chapter Chapter 4 in Improving Forecasts with Integrated Business Planning, 2019, pp 183-281 from Springer

Abstract: Abstract In this chapter, we explain the role of segmentation, statistical analysis and special outlier detection/correction in forecasting seasonal products. We connect this custom approach to differentiated ways of doing forecasting. We use instruments available in SAP IBP and explain also the techniques that allow configurations to be customised, with the objective of reducing the error of seasonal products forecast. We present custom outlier detection and correction methods, custom set of statistical analysis and charts, connecting all of those with an optimized configuration of seasonal forecasting models. As a final stage, we explain the required capabilities needed to forecast seasonal demand patterns.

Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:spr:mgmchp:978-3-030-05381-9_4

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DOI: 10.1007/978-3-030-05381-9_4

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