Leveraging Artificial Intelligence in e-commerce Logistics: Innovative Solutions for Demand Forecasting and Inventory Management

As e-commerce grows and retail channels evolve, companies are increasingly adopting advanced technologies to enhance Demand Forecasting and Inventory Management, ensuring seamless flow of goods while reducing costs and effectively addressing customer expectations. Machine Learning and, more broadly, Artificial Intelligence (AI) technologies are proving to be among the most promising solutions. This research explores the opportunities enabled by AI to support Demand Forecasting and Inventory Management in companies operating (also) online. A twofold approach was adopted: a Systematic Literature Review was conducted to assess existing knowledge and provide a comprehensive overview of the available AI solutions supporting Demand Forecasting and Inventory Management. Findings have been integrated with an empirical analysis based on interviews with practitioners in the Italian e-commerce landscape. Results prove that, although adoption is still limited, companies integrating these technologies recognize their value. However, corporate culture, effective data management and lack of collaboration among stakeholders emerged as the main barriers for effective implementation, requiring a structural change within organizations. This research aims to support both academics and practitioners, by contributing to the limited body of knowledge on AI in e-commerce logistics and by providing insights that may assist practitioners and policymakers in promoting the adoption of these technologies.