Ensemble Demand Forecasting with Exogenous Signal Integration: AI-Driven Approaches to Enhanced Retail Supply Chain Planning Accuracy

Authors

  • Agnieszka Chęć Associate Professor of Computer Science, Wrocław University of Technology

Keywords:

ensemble demand forecasting, exogenous signal integration, approaches to enhanced retail supply chain planning accuracy, machine learning

Abstract

Introduction Retail supply chain forecasting is crucial for effectively operating the retail supply chain and goes a long way in determining the efficiency of the operation. Efficient forecasting can tremendously influence the inventory level in the supply chain, which also impacts the profits of each partner in the retail network. Accurate supply chain forecasting also helps to enhance customer satisfaction, which further improves the profitability of the organization.

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Published

31-12-2024

How to Cite

[1]
“Ensemble Demand Forecasting with Exogenous Signal Integration: AI-Driven Approaches to Enhanced Retail Supply Chain Planning Accuracy”, Cybersecurity & Net. Def. Research, vol. 4, no. 2, pp. 31–40, Dec. 2024, Accessed: Jun. 05, 2026. [Online]. Available: https://thesciencebrigade.com/cndr/article/view/874