Using AI to Improve Supply Chains with Cyrus Hadavi from Adexa

Cyrus Hadavi, the CEO of  Adexa, calls supply chains the bloodstream of every business. “It’s how to get the right product at the right time at the right place.” But this is exceedingly complicated when you have thousands of products and possibly hundreds of storage facilities.

The COVID-19 pandemic has brought these issues to the forefront of public consciousness—but they’ve always been there. And Adexa has been helping companies solve supply chain problems since the very beginning of the digital era.

Today they employ a sophisticated, AI-powered solution that didn’t exist at the time of their founding. On this edition of UpTech Report, Cyrus tells us how it all works.

More infromation:

Dr. Cyrus Hadavi is the founder of Adexa, a leading AI-powered supply chain planning solution provider with hundreds Fortune class clients in five continents. Adexa solutions are based on a unique architecture that enables both S&OP and S&OE in ONE system to digitalize operations.

To this end, Adexa clients can grow to higher stages of supply chain maturity by simply adding more granular data to create a true digital twin. Adexa Genies© are smart agents to automate business processes by continuously responding to events and learning from experience correcting the model and improving the supply chain operations autonomously.

Cyrus’ experience has been instrumental in many global companies, including Black & Decker, Solectron, Northrop-Grumman, Philips, Toshiba, GM, Boeing, Hanes and Seagate. Cyrus is one of the pioneers of applying AI to planning problems. As early as 1990, he created the first-generation of AI planning solutions at Siemens.The result was a seminal paper published in one of the most prestigious publications: The Journal of Artificial Intelligence.

Before founding Adexa, Cyrus was conducting related research at Siemens Research Labs in NJ and Munich. He also taught courses atColumbia University as an Adjunct Professor of Operations Management on the application of computer science and AI to manufacturing. He has performed joint research at Columbia University, the Wharton School of Management, Clemson University, and the Max Planck Institute in Germany. 



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