Title: Optimizing E-Commerce Supply Chain Operations Through Business Analytics, Predictive Models, and Prescriptive Data-Driven Solutions
Authors: Julius Olatunde Omisola, Emmanuel Augustine Etukudoh , Ekene Cynthia Onukwulu and Grace Omotunde Osho
Volume: 9
Issue: 4
Pages: 70-82
Publication Date: 2025/04/28
Abstract:
The rapid growth of e-commerce has intensified the need for efficient and agile supply chain operations to meet ever-changing consumer demands. Optimizing these operations requires leveraging advanced technological tools such as business analytics, predictive models, and prescriptive data-driven solutions. This review explores the integration of these approaches to address critical challenges in e-commerce supply chains, including demand variability, inventory management, and last-mile delivery complexities. Business analytics serves as the foundation by providing descriptive and diagnostic insights into supply chain performance, enabling organizations to identify inefficiencies and monitor key performance indicators (KPIs). Predictive models build upon this by utilizing historical and real-time data to forecast demand fluctuations, supplier risks, and potential disruptions. These forecasts enable proactive decision-making, reducing the likelihood of stockouts, overstocking, or delayed deliveries. Prescriptive solutions, on the other hand, offer actionable recommendations, guiding dynamic pricing strategies, resource allocation, and optimized route planning for cost-effective and timely delivery. The integration of these tools provides several benefits, including enhanced operational efficiency, reduced costs, improved customer satisfaction, and greater resilience to market disruptions. However, successful implementation requires overcoming challenges such as ensuring data quality, addressing security and privacy concerns, and integrating these systems with existing supply chain processes. Future advancements in artificial intelligence, machine learning, IoT-enabled systems, and blockchain technology are expected to further revolutionize e-commerce supply chain management, enabling real-time decision-making, end-to-end visibility, and enhanced transparency. This review underscores the strategic importance of adopting data-driven approaches, positioning businesses to thrive in a competitive, fast-paced market by delivering exceptional value to customers while maintaining operational excellence.