Book: "Data Science for Supply Chain Forecasting"

"Data Science for Supply Chain Forecasting" explores how advanced data analysis techniques can improve predictions of demand and supply chain needs. It covers methods like statistical modeling, machine learning, and data-driven insights to help businesses better anticipate customer demand, optimize inventory levels, and streamline logistics. By leveraging various data sources, the book aims to enhance decision-making, reduce costs, and increase efficiency in managing supply chains. It is a practical guide for professionals seeking to apply data science tools to improve the accuracy and reliability of supply chain forecasts.