The logistics industry is a highly integrated supply chain network that links producers and suppliers with consumers through multiple transportation channels, including air and express delivery services, freight rail, and truck transportation. In this massive business scale, data science plays an important role. Data-driven logistics industry aids in optimizing operations to remove costs, increasing employee efficiency, optimal fleet repositioning, demand forecasting, and dynamic pricing. 

With these extensive benefits of data science utilization in the logistics industry, data science has brought this industry to a qualitatively new level of their development. In this session, Top Data Science Use Cases In The Logistics Industry, the audience will learn and understand better about how logistics companies use data science in their daily operations to make it more efficient and increase revenue.