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 ...
The era of historical markups is over. In today's volatile market, margin protection requires moving beyond reactive ...
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 ...
SCOTTSDALE, Ariz.--(BUSINESS WIRE)--As the first deliverable out of its partnership with dunnhumby, JDA Software Group, Inc., today announced the availability of JDA Assortment Optimization – Powered ...
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 ...
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 study robust formulations of assortment optimization problems under the multinomial logit choice model. The novel aspect of our formulations is that the true parameters of the logit model are ...
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 ...
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 ...
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 ...
NIQ’s complete, clear data and advanced technology ensure the right products are on the shelf at the right time and place for the right customers Predictive scenario building with customer-centric ...