Machine Learning Times
EXCLUSIVE HIGHLIGHTS
The Data Disconnect: A Key Challenge for Machine Learning Deployment
  EDITOR’S NOTE: This article is excerpted from The...
A Brief History of Why Machine Learning Projects Stall
  EDITOR’S NOTE: This is the preface to The...
Hybrid AI Emerges To Tame LLMs – And Not A Moment Too Soon
 Originally published in Forbes The great potential of LLMs is...
AGI Is Infeasible. Instead, Pursue Superhuman Adaptable Intelligence
  Originally published in Forbes On a recent episode of the...
SHARE THIS:

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

This content is restricted to site members. If you are an existing user, please log in on the right (desktop) or below (mobile). If not, register today and gain free access to original content and industry news. See the details here.

Comments are closed.