Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
BizML: Bridging the Gap Between Data Science and Business
  Eric Siegel, author of The AI Playbook, was...
The AI Hype Cycle Is Distracting Companies
 Originally published in Harvard Business Review. Machine learning has...
HR Analytics: Measuring Acquisition, Retention & Satisfaction
 Your firm is growing rapidly, and to maintain pace,...
To Avoid Wasting Money on Artificial Intelligence, Business Leaders Need More AI Acumen
 Originally published in Analytics Magazine, July 19, 2023. Business...
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3 years ago
Why Machine Learning is Central to Reverse Supply Chain 2.0

  E-commerce growth and a worldwide pandemic have brought to light the inefficiencies in the modern supply chain, especially the return process. The current return process is costly, inefficient, and wasteful. The following article explores how enabling efficient returns through reverse supply chain development can bring savings and operational improvements. Most companies are failing to get the most out of their reverse supply chain – the flow of goods back to them in the form of returns and recycling.  This is an important area to optimize because approximately 20% of all products purchased in the U.S. are returned

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