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- W2920228077 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." @default.
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- W2920228077 date "2019-01-01" @default.
- W2920228077 modified "2023-09-23" @default.
- W2920228077 title "Improving Short-Term Forecast with Demand Sensing" @default.
- W2920228077 cites W1485443335 @default.
- W2920228077 doi "https://doi.org/10.1007/978-3-030-05381-9_7" @default.
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