Consumer Electronics Demand Signal Processing and SKU-Level Forecasting: AI-Powered Predictive Analytics for U.S. Laptop Manufacturing Operational Efficiency

Authors

  • Thomas Jensen Associate Professor of Computer Science, Aalborg University

Keywords:

consumer electronics demand signal processing, sku-level forecasting, predictive analytics, u.s. laptop manufacturing operational efficiency, machine learning

Abstract

Predicting the future is a complex task, especially predicting future demand. In a digitally connected world, increasing demand complexity and constantly changing customer trends put pressure on manufacturers and service providers to determine future demand. Demand forecasting is crucial for all types of manufacturing companies and many others dealing with the public.

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Published

30-06-2023

How to Cite

[1]
“Consumer Electronics Demand Signal Processing and SKU-Level Forecasting: AI-Powered Predictive Analytics for U.S. Laptop Manufacturing Operational Efficiency”, Human-Computer Interaction Persp., vol. 3, no. 1, pp. 68–75, Jun. 2023, Accessed: Jun. 04, 2026. [Online]. Available: https://thesciencebrigade.com/hcip/article/view/793