5 Examples of How Big Data in Delivery Service Can Transform Logistic Industry

The logistic industry and, especially, delivery services, have had an extremely unenviable reputation over the years. So many packages were delayed. So many annoyed customers complained and cracked jokes about the sluggishness of delivery services worldwide. 

Meanwhile, only a few knew how many challenges such services face during their work and on the last mile in particular. Traffic jams, confusion on overloaded warehouses, and poor route planning are just a few of them.

The Case for Cloud-Based Logistics Systems

IT systems and applications are vital to businesses and enterprises. The last couple of decades have been a great source of growth for information and communication technology and has strongly influenced organizational processes and logistics as well. The ecosystem of IT services is an interconnected set of hardware and software resources, and is conceptually similar to a manufacturing or retail supply chain.

In the case of supply chains, they generally have two functions: a physical function—the production of a particular product and transportation of each and every component to the desired place at the right time; and a market mediation function—to ensure that the product meets market needs in an appropriate manner. Logistics involves a plethora of suppliers, manufacturers, carriers, third logistics partners, fourth logistics partners, and financial institutions which are essential to transporting a product from place of origin into customer’s hands.