The era of historical markups is over. In today's volatile market, margin protection requires moving beyond reactive ...
Problem definition: Assortment selection is one of the most important decisions faced by retailers. Most existing papers in the literature assume that customers select at most one item out of the ...
Global Collaborative platform designed to refine product mix, identify planogram inefficiencies and optimize product distribution – aligning suppliers and retailers on assortment CHICAGO--(BUSINESS ...
SAN MATEO, Calif.-DemandTec, Inc. a leading provider of on-demand optimization solutions for retailers and consumer products manufacturers, announced that Target Corporation, the second largest ...
Grocery assortment planning has been upended by omnichannel. Grocers had been comfortable relying on broader, older models that identified underperforming products to remove from a store shelf, or ...
LONDON--(BUSINESS WIRE)--dunnhumby, the world’s leading customer data science company is pleased to announce that it has been named as a Representative Vendor in the Gartner Market Guide for Retail ...
Assortment optimisation and revenue management represent two intertwined disciplines that have garnered significant attention over recent decades. At their core, these fields address the dual ...
We consider assortment and price optimization problems under the d-level nested logit model. In the assortment optimization problem, the goal is to find the revenue-maximizing assortment of products ...
Co-founder at LEAFIO AI Retail Solutions, a supply chain optimization and automation expert for retail, distribution, and CPG manufacturing. Creating and maintaining an appealing and sought-after ...
This is a preview. Log in through your library . Abstract We consider assortment optimization problems when customers choose according to the nested logit model and there is a capacity constraint ...
Revionics announced the acquisition of Retail Optimization’s business and related assets, extending Revionics’ price offerings with cloud-based assortment, and micro and macro space optimization ...
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