Can Machine Learning shape the future of Supply Chains?

Have you ever wondered how Netflix knows exactly what kind of TV series you want to watch, or how Facebook recommends all the right people to send friend requests to, or how Google Doc’s search bar randomly pops up with the document you were going to search; before you even typed anything?

If any of these three parameters match an experience in your digital life, chances are you’re a user of a program that utilizes complex Machine Learning and algorithms to put the right content, onto your screen, in front of your eyes.

Creepy… Maybe.

Innovative… Absolutely.

“Machine learning refers to the changes in systems that perform tasks associated with artificial intelligence. These tasks involve recognition, diagnosis, planning, robot control, prediction, etc. Machine Learning is coming into its own, with a growing recognition that machine learning plays a key role in a wide range of critical applications, such as data mining, natural language processing, image recognition, and expert systems” (Tiwari 2017).

Machine Learning, and its implementation into expert systems, has just begun its journey. The capabilities for dynamic and diverse usages of machine learning are really quite baffling.

I plan on scratching the surface and focusing on one of the means of usage, where machine learning’s complex algorithms can create transformative action. The topic I would like to focus in on is the usage of machine learning in optimizing B2B operations, but more specifically supply chain operations...

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