Revolutionize Cold Chain: An AI/ML Driven Approach to Overcome Capacity Shortages

This project examines the application of Artificial Intelligence (AI) and Machine Learning (ML) forecasting methods for cold chain capacity planning. Collaborating with Americold, a major player in refrigerated logistics, the study addressed the complexities of managing a large-scale operation. The key takeaway for executives, managers, and capacity planners is the development of a Customer Segmentation Matrix. This innovation enhanced the accuracy of forecasts and planning across diverse customer segments, significantly reducing forecasting errors. The tailored AI/ML models specifically designed for demand forecasting in the cold-chain industry offer a practical solution to capacity management challenges. This AI-driven approach not only improves forecasting accuracy but also provides a strategic tool for long-term decision-making in managing operational constraints and optimizing capacity utilization. Read more