Improving Short-Term Forecast with Demand Sensing

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 7 in Improving Forecasts with Integrated Business Planning, 2019, pp 363-385 from Springer

Abstract: Abstract In this chapter, we explore the facets behind optimization of the monthly consensus forecast with short-term demand sensing. We explain how this process could improve the effectiveness and efficiency of sensed demand in the short-term horizon, even in daily buckets. We highlight that this optimization method is particularly useful for products that are continuously sold and for supply chain environments that are capable of realizing benefits from more accurate short-term predictions. We explain in detail how demand sensing helps addressing variability dampening, working capital reduction, lead time compression or introduction of late customization and illustrate the concept with the use of SAP IBP use cases.

Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:spr:mgmchp:978-3-030-05381-9_7

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DOI: 10.1007/978-3-030-05381-9_7

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