Breaking News

Why Machine Learning is Central to Reverse Supply Chain 2.0 – Machine Learning Times – machine learning & data science news – The Predictive Analytics Times

  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 to the
To view this content OR subscribe for free Already receive the Machine Learning Times emails?The Machine Learning Times now requires legacy email subscribers to upgrade their subscription – one time only – in order to attain a password-protected login and gain complete access.
Click here to complete this one-time subscription upgrade

Sign up for the Newsletter with your Choice of social media account: