Demand Forecasting in Multi-Retailer Supply Chains Within the Dairy Sector

The dairy industry faces unique challenges in demand forecasting due to the perishability of products and the variability in consumer demand. This paper explores the state of the art in demand forecasting for multi-retailers in the dairy industry, highlighting the role of technological innovations and advanced methodologies. The integration of machine learning and data analytics is transforming demand forecasting, enabling more accurate predictions and efficient supply chain management. By addressing the complexities of the dairy supply chain and adapting to changing consumer preferences, retailers can optimize inventory levels, reduce waste, and enhance product availability. This study provides insights into current trends and methodologies, offering a comprehensive overview of demand forecasting in the dairy industry.