This study emphasizes the importance of adopting a consumer-centric approach to supply chain management, highlighting the role of data-driven analytics, including artificial intelligence and machine learning (AI/ML), in extracting actionable insights from consumer data. Such insights can enhance demand forecasting, personalization strategies, supply chain efficiency, customer satisfaction, and risk mitigation. This chapter looks into the developing landscape of supply chain management, emphasizing the importance of adopting a consumer-centric approach. It examines the role of data-driven analytics, including artificial intelligence and machine learning, in extracting actionable insights from consumer data. The chapter also discusses how such insights can enhance demand forecasting, personalization strategies, supply chain efficiency, customer satisfaction, and risk mitigation.
Authors: H. R. Swapna, Emmanuel Bigirimana, R. Geetha, Mukundan Appadurai Paramashivan, A. Shaji George, Pankaj Dadheech, Vikas Vyas
DOI: https://doi.org/10.4018/979-8-3693-3593-2.ch019
Publish Year: 2024
