Business Architecture Model Adapted to Predictive Analysis for Customer's Increasing of SMEs of Furnitures Industry through Digital Tools

Katherin Aquino-Arrieta, Franco Fernandez-Mejia, Carlos Cespedes-Blanco, Carlos Raymundo-Ibañez, Jose Maria Alvarez

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

3 Citas (Scopus)

Resumen

More than 50% of micro and small enterprises (SMEs) in Peru are at risk of disappearing owing to a lack of customers because they are failing to take advantage of newly developed digital tools. This hinders SMEs operating within the furniture industry from attracting new customers, lowering their sales to minimum levels. Therefore, our study aims to solve the problem through a business architecture model that allows for the use of digital tools and predictive analyses, which will define a new sales channel that allows for the identification of customer tastes and the creation of new marketing and sales strategies. For this purpose, we conducted a study that allowed us to validate the proposal made to SMEs operating in this sector. As the results showed, sales experienced a 10% annual increase by the end of the study owing to the alternative provided.

Idioma originalInglés
Título de la publicación alojadaICITM 2020 - 2020 9th International Conference on Industrial Technology and Management
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas176-180
Número de páginas5
ISBN (versión digital)9781728143064
DOI
EstadoPublicada - feb. 2020
Evento9th International Conference on Industrial Technology and Management, ICITM 2020 - Oxford, Reino Unido
Duración: 11 feb. 202013 feb. 2020

Serie de la publicación

NombreICITM 2020 - 2020 9th International Conference on Industrial Technology and Management

Conferencia

Conferencia9th International Conference on Industrial Technology and Management, ICITM 2020
País/TerritorioReino Unido
CiudadOxford
Período11/02/2013/02/20

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