Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Effective Machine Learning Needs Leadership — Not AI Hype
 Originally published in BigThink, Feb 12, 2024.  Excerpted from The...
Today’s AI Won’t Radically Transform Society, But It’s Already Reshaping Business
 Originally published in Fast Company, Jan 5, 2024. Eric...
Calculating Customer Potential with Share of Wallet
 No question about it: We, as consumers have our...
A University Curriculum Supplement to Teach a Business Framework for ML Deployment
    In 2023, as a visiting analytics professor...
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By: Yan Krupnik, Marketing Manager, Retalon 

 We’ve already discussed why predictive analytics works so well in the retail industry. In order to illustrate a more pragmatic example of the kind of complex challenges predictive analytics technology helps retailer solve, we look at the retail allocation process. Inventory allocation is a critical and complicated retail process for several reasons. Here are some major ones that many retailers experience: New Products: The problem with new products is that there is no past performance history of these products in any of the stores; therefore it’s very difficult to make projections about product performance without some simply doing

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