Bundling Strategy Through Text Mining Tools

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

doi:10.1007/978-3-031-06862-1_37

Bundling Strategy Through Text Mining Tools

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

Sección de Ingeniería Industrial

Pontifical Catholic Univ. of Peru

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

Resumen

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 original	Inglés
Título de la publicación alojada	Production and Operations Management - POMS 2021
Editores	Jorge 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
Editorial	Springer
Páginas	491-499
Número de páginas	9
ISBN (versión impresa)	9783031068614
DOI	https://doi.org/10.1007/978-3-031-06862-1_37
Estado	Publicada - 2022
Evento	International Conference on Production and Operations Management, POMS 2021 - Virtual, Online Duración: 2 dic. 2021 → 4 dic. 2021

Serie de la publicación

Nombre	Springer Proceedings in Mathematics and Statistics
Volumen	391
ISSN (versión impresa)	2194-1009
ISSN (versión digital)	2194-1017

Conferencia

Conferencia	International Conference on Production and Operations Management, POMS 2021
Ciudad	Virtual, Online
Período	2/12/21 → 4/12/21

Acceder al documento

10.1007/978-3-031-06862-1_37

Otros archivos y enlaces

Enlace a la publicación en Scopus

Citar esto

Rodriguez, M., Trujillo, C., Rojas, J., Huaman, A., Flores, L., Caballero, A., & Mendoza, A. (2022). Bundling Strategy Through Text Mining Tools. En J. Vargas Florez, I. de Brito Junior, A. Leiras, S. A. Paz Collado, M. D. González Alvarez, C. A. González-Calderón, S. Villa Betancur, M. Rodríguez, & D. Ramirez-Rios (Eds.), Production and Operations Management - POMS 2021 (pp. 491-499). (Springer Proceedings in Mathematics and Statistics; Vol. 391). Springer. https://doi.org/10.1007/978-3-031-06862-1_37

Rodriguez, Miguel ; Trujillo, Carlos ; Rojas, Jonatán et al. / Bundling Strategy Through Text Mining Tools. Production and Operations Management - POMS 2021. editor / Jorge 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. Springer, 2022. pp. 491-499 (Springer Proceedings in Mathematics and Statistics).

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abstract = "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.",

keywords = "Bag-of-words model, Bundling strategy, Food delivery applications, Text mining, Turnover increase",

author = "Miguel Rodriguez and Carlos Trujillo and Jonat{\'a}n Rojas and Alessandro Huaman and Luigi Flores and Andrea Caballero and Adrian Mendoza",

note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; International Conference on Production and Operations Management, POMS 2021 ; Conference date: 02-12-2021 Through 04-12-2021",

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doi = "10.1007/978-3-031-06862-1_37",

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editor = "{Vargas Florez}, Jorge and {de Brito Junior}, Irineu and Adriana Leiras and {Paz Collado}, {Sandro Alberto} and {Gonz{\'a}lez Alvarez}, {Miguel Domingo} and Gonz{\'a}lez-Calder{\'o}n, {Carlos Alberto} and {Villa Betancur}, Sebastian and Michelle Rodr{\'i}guez and Diana Ramirez-Rios",

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Rodriguez, M, Trujillo, C, Rojas, J, Huaman, A, Flores, L, Caballero, A & Mendoza, A 2022, Bundling Strategy Through Text Mining Tools. En J Vargas Florez, I de Brito Junior, A Leiras, SA Paz Collado, MD González Alvarez, CA González-Calderón, S Villa Betancur, M Rodríguez & D Ramirez-Rios (eds.), Production and Operations Management - POMS 2021. Springer Proceedings in Mathematics and Statistics, vol. 391, Springer, pp. 491-499, International Conference on Production and Operations Management, POMS 2021, Virtual, Online, 2/12/21. https://doi.org/10.1007/978-3-031-06862-1_37

Bundling Strategy Through Text Mining Tools. / Rodriguez, Miguel; Trujillo, Carlos; Rojas, Jonatán et al.
Production and Operations Management - POMS 2021. ed. / Jorge 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. Springer, 2022. p. 491-499 (Springer Proceedings in Mathematics and Statistics; Vol. 391).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

TY - GEN

T1 - Bundling Strategy Through Text Mining Tools

AU - Rodriguez, Miguel

AU - Trujillo, Carlos

AU - Rojas, Jonatán

AU - Huaman, Alessandro

AU - Flores, Luigi

AU - Caballero, Andrea

AU - Mendoza, Adrian

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

KW - Bag-of-words model

KW - Bundling strategy

KW - Food delivery applications

KW - Text mining

KW - Turnover increase

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AN - SCOPUS:85140715547

SN - 9783031068614

T3 - Springer Proceedings in Mathematics and Statistics

SP - 491

EP - 499

BT - Production and Operations Management - POMS 2021

A2 - Vargas Florez, Jorge

A2 - de Brito Junior, Irineu

A2 - Leiras, Adriana

A2 - Paz Collado, Sandro Alberto

A2 - González Alvarez, Miguel Domingo

A2 - González-Calderón, Carlos Alberto

A2 - Villa Betancur, Sebastian

A2 - Rodríguez, Michelle

A2 - Ramirez-Rios, Diana

PB - Springer

T2 - International Conference on Production and Operations Management, POMS 2021

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ER -

Rodriguez M, Trujillo C, Rojas J, Huaman A, Flores L, Caballero A et al. Bundling Strategy Through Text Mining Tools. En Vargas Florez J, de Brito Junior I, Leiras A, Paz Collado SA, González Alvarez MD, González-Calderón CA, Villa Betancur S, Rodríguez M, Ramirez-Rios D, editores, Production and Operations Management - POMS 2021. Springer. 2022. p. 491-499. (Springer Proceedings in Mathematics and Statistics). doi: 10.1007/978-3-031-06862-1_37