Machine Learning Times
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2 More Ways To Hybridize Predictive AI And Generative AI
  Originally published in Forbes Predictive AI and generative AI...
How To Overcome Predictive AI’s Everyday Failure
  Originally published in Forbes Executives know the importance of predictive...
Our Last Hope Before The AI Bubble Detonates: Taming LLMs
  Originally published in Forbes To know that we’re in...
The Agentic AI Hype Cycle Is Out Of Control — Yet Widely Normalized
  Originally published in Forbes I recently wrote about how...
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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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