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A common sales strategy involves having account executives (AEs) actively reach out and contact potential customers. However, not all contact attempts have a positive effect: some attempts do not change customer decisions, while others…

Machine Learning · Computer Science 2022-07-14 Naama Parush , Ohad Levinkron-Fisch , Hanan Shteingart , Amir Bar Sela , Amir Zilberman , Jake Klein

In the rapidly evolving landscape of retail, assortment planning plays a crucial role in determining the success of a business. With the rise of sponsored products and their increasing prominence in online marketplaces, retailers face new…

Data Structures and Algorithms · Computer Science 2024-02-12 Shaojie Tang , Shuzhang Cai , Jing Yuan , Kai Han

Online fashion sales present a challenging use case for personalized recommendation: Stores offer a huge variety of items in multiple sizes. Small stocks, high return rates, seasonality, and changing trends cause continuous turnover of…

Information Retrieval · Computer Science 2017-08-25 Sebastian Heinz , Christian Bracher , Roland Vollgraf

The outbreak of COVID-19 within the last two years has resulted in much further investigation into the safety of large events that involve a gathering of people. This study aims to investigate how COVID-19 can spread through a large crowd…

Computers and Society · Computer Science 2022-11-02 Braxton Rolle , Ravi Kiran

We consider a game where a finite number of retailers choose a location, given that their potential consumers are distributed on a network. Retailers do not compete on price but only on location, therefore each consumer shops at the closest…

Computer Science and Game Theory · Computer Science 2019-01-03 Gaëtan Fournier , Marco Scarsini

Large eCommerce players introduced comparison tables as a new type of recommendations. However, building comparisons at scale without pre-existing training/taxonomy data remains an open challenge, especially within the operational…

Information Retrieval · Computer Science 2021-07-09 Patrick John Chia , Bingqing Yu , Jacopo Tagliabue

The problem of identifying the optimal location for a new retail store has been the focus of past research, especially in the field of land economy, due to its importance in the success of a business. Traditional approaches to the problem…

Social and Information Networks · Computer Science 2014-02-26 Dmytro Karamshuk , Anastasios Noulas , Salvatore Scellato , Vincenzo Nicosia , Cecilia Mascolo

Market research is generally performed by surveying a representative sample of customers with questions that includes contexts such as psycho-graphics, demographics, attitude and product preferences. Survey responses are used to segment the…

Machine Learning · Computer Science 2019-01-28 Venkatesh Umaashankar , Girish Shanmugam S

The credit scoring risk management is a fast growing field due to consumer's credit requests. Credit requests, of new and existing customers, are often evaluated by classical discrimination rules based on customers information. However,…

Machine Learning · Computer Science 2012-12-27 Farid Beninel , Waad Bouaguel , Ghazi Belmufti

Many marketing applications, including credit card incentive programs, offer rewards to customers who exceed specific spending thresholds to encourage increased consumption. Quantifying the causal effect of these thresholds on customers is…

Methodology · Statistics 2026-01-19 Kohsuke Kubota , Shonosuke Sugasawa

We present a graph-theoretic model of consumer choice, where final decisions are shown to be influenced by information and knowledge, in the form of individual awareness, discriminating ability, and perception of market structure. Building…

Physics and Society · Physics 2016-02-17 A. E. Biondo , A. Giarlotta , A. Pluchino , A. Rapisarda

We present a fast, flexible heuristic for setting up warehouse locations for quick commerce businesses, with the goal of serving the largest number of customers under the constraints of delivery radius and maximum daily deliveries per…

Optimization and Control · Mathematics 2023-12-20 Prithvi Kewalramani , Harshad Khadilkar

We study how loyalty behavior of customers and differing costs to produce undifferentiated products by firms can influence market outcomes. In prior works that study such markets, firm costs have generally been assumed negligible or equal,…

Theoretical Economics · Economics 2022-01-25 Theja Tulabandhula , Aris Ouksel , Son Nguyen

Many web systems rank and present a list of items to users, from recommender systems to search and advertising. An important problem in practice is to evaluate new ranking policies offline and optimize them before they are deployed. We…

Machine Learning · Computer Science 2018-06-15 Shuai Li , Yasin Abbasi-Yadkori , Branislav Kveton , S. Muthukrishnan , Vishwa Vinay , Zheng Wen

We propose an easy-to-use methodology to allocate one of the groups which have been previously built from a complete learning data base, to new individuals. The learning data base contains continuous and categorical variables for each…

Statistics Theory · Mathematics 2016-08-14 Patrick Letrémy , Marie Cottrell , Eric Esposito , Valérie Laffite , Sally Showk

The conventional practice of retail electric utilities is to aggregate customers geographically. The utility purchases electricity for its customers via bulk transactions on the wholesale market, and it passes these costs along to its…

Optimization and Control · Mathematics 2017-08-08 Siddharth Patel , Raffi Sevlian , Baosen Zhang , Ram Rajagopal

Online user reviews describing various products and services are now abundant on the web. While the information conveyed through review texts and ratings is easily comprehensible, there is a wealth of hidden information in them that is not…

Information Retrieval · Computer Science 2016-04-20 Rahul Kamath , Masanao Ochi , Yutaka Matsuo

With a vast number of items, web-pages, and news to choose from, online services and the customers both benefit tremendously from personalized recommender systems. Such systems however provide great opportunities for targeted…

Information Retrieval · Computer Science 2015-04-16 Subhashini Krishnasamy , Rajat Sen , Sewoong Oh , Sanjay Shakkottai

Newly available data on the spatial distribution of retail activities in cities makes it possible to build models formalized at the level of the single retailer. Current models tackle consumer location choices at an aggregate level and the…

Physics and Society · Physics 2017-01-01 Duccio Piovani , Vassilis Zachariadis , Michael Batty

A simple advertising strategy that can be used to help increase sales of a product is to mail out special offers to selected potential customers. Because there is a cost associated with sending each offer, the optimal mailing strategy…

Artificial Intelligence · Computer Science 2013-01-18 David Maxwell Chickering , David Heckerman
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