Bundling Strategy Through Text Mining Tools

Miguel Rodriguez, Carlos Trujillo, Jonatán Rojas, Alessandro Huaman, Luigi Flores, Andrea Caballero, Adrian Mendoza

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva


Nowadays, there is a growing tendency to order food through apps for delivery, which are based on a free market system in which sporadic jobs are obtained and known as “gig economy” [1]. In Peru, the growth of that market was at a rate of 30% in 2019 [2] and, currently, these platforms have about 14,000 registered dealers with more than 1600 associated stores and an average of 20 daily orders served by each distributor [3]. This research seeks to improve the revenue of a food delivery company, by stimulating targeted partnerships with local businesses. A text mining analysis and a bag-of-words model were developed to get a bundling strategy that helps encourage consumers to purchase this combination, selecting those that have the biggest lift.

Idioma originalInglés
Título de la publicación alojadaProduction and Operations Management - POMS 2021
EditoresJorge Vargas Florez, Irineu de Brito Junior, Adriana Leiras, Sandro Alberto Paz Collado, Miguel Domingo González Alvarez, Carlos Alberto González-Calderón, Sebastian Villa Betancur, Michelle Rodríguez, Diana Ramirez-Rios
Número de páginas9
ISBN (versión impresa)9783031068614
EstadoPublicada - 2022
EventoInternational Conference on Production and Operations Management, POMS 2021 - Virtual, Online
Duración: 2 dic. 20214 dic. 2021

Serie de la publicación

NombreSpringer Proceedings in Mathematics and Statistics
ISSN (versión impresa)2194-1009
ISSN (versión digital)2194-1017


ConferenciaInternational Conference on Production and Operations Management, POMS 2021
CiudadVirtual, Online

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