5 Real Example for How Big Data in Delivery Services Can Transform Logistic Sector

Over the years, the reputation of delivery and logistics services has been very unenviable. Many packages were lost or delayed. Many customers were annoyed and made fun of the slow delivery services around the world.

Only a few people knew the challenges these services face in their work, and especially on the last mile. Poor route planning, traffic jams, confusion in overloaded warehouses, and congestion are just some of the problems.

Big Data was born when the stigma seemed to be a permanent fixture. It was paired with software and special technologies that brought about many positive changes in the logistics industry.

What is big data and how does it impact logistics? Let’s get to it and discover the following:

• The definition of Big Data and its main characteristics.
• Big Data and logistics: The benefits
• Big Data’s impact on the logistics industry

Understanding Big Data

Here’s a little backstory. Information flow has increased steadily since the middle of the 20th century when the digital age began. It rose significantly by the 1980s when the Internet was invented. The term Big Data was created to describe this phenomenon. It stands for huge amounts of information that are created on the Internet.

Originally publish on The Tech Trend