Image processing and its potential application in companies with digital strategy
Descripción del Articulo
Peruvian retail market today, more than ever, has turned the phrase “everything goes through the eyes” into a competitive tool. The design and optimization of space, as well as visual merchandising, are techniques that impact the sale new concepts such as omnicanality and buying experience are fed b...
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|---|---|
| Formato: | artículo |
| Fecha de Publicación: | 2017 |
| Institución: | Universidad de Lima |
| Repositorio: | Revistas - Universidad de Lima |
| Lenguaje: | español |
| OAI Identifier: | oai:ojs.pkp.sfu.ca:article/1767 |
| Enlace del recurso: | https://revistas.ulima.edu.pe/index.php/Interfases/article/view/1767 |
| Nivel de acceso: | acceso abierto |
| Materia: | image processing retail marketing machine learning predictive analytics procesamiento de imágenes marketing para venta al detalle aprendizaje automático analítica predictivaAbstract |
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Image processing and its potential application in companies with digital strategyEl procesamiento de imágenes y su potencial aplicación en empresas con estrategia digitalTaquía-Gutiérrez, José Antonioimage processingretail marketingmachine learningpredictive analyticsprocesamiento de imágenesmarketing para venta al detalleaprendizaje automáticoanalítica predictivaAbstractPeruvian retail market today, more than ever, has turned the phrase “everything goes through the eyes” into a competitive tool. The design and optimization of space, as well as visual merchandising, are techniques that impact the sale new concepts such as omnicanality and buying experience are fed by data analytics in order to describe the commercial mode; and new qualitative sources of information, among them color theory, specially help to understand and predict the impact of future decisions on the point of sale. This paper describes the utility of image processing techniques to innovate the retail market in the effort to extract useful information from advertising pieces frequently used in this sector.Hoy más que nunca, el mercado minorista peruano ha convertido la frase “todo pasa por los ojos” en una herramienta competitiva. El diseño y la optimización del espacio, así como la comercialización visual, son técnicas que impactan en la venta. Nuevos conceptos, tales como omnicanalidad y experiencia de compra, son alimentados por el análisis de datos para describir el modo comercial; y nuevas fuentes de información cualitativa, entre ellas la teoría del color, ayudan especialmente a comprender y predecir el impacto de las decisiones futuras en el punto de venta. Este artículo describe la utilidad de las técnicas de procesamiento de imágenes para innovar en el mercado minorista, en un esfuerzo por extraer información útil de piezas publicitarias frecuentemente utilizadas en este sector.Universidad de Lima2017-12-18info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.ulima.edu.pe/index.php/Interfases/article/view/176710.26439/interfases2017.n10.1767Interfases; No. 010 (2017); 11-29Interfases; Núm. 010 (2017); 11-29Interfases; n. 010 (2017); 11-291993-491210.26439/interfases2017.n10reponame:Revistas - Universidad de Limainstname:Universidad de Limainstacron:ULIMAspahttps://revistas.ulima.edu.pe/index.php/Interfases/article/view/1767/1819Copyright (c) 2018 Interfasesinfo:eu-repo/semantics/openAccessoai:ojs.pkp.sfu.ca:article/17672023-07-24T13:32:20Z |
| dc.title.none.fl_str_mv |
Image processing and its potential application in companies with digital strategy El procesamiento de imágenes y su potencial aplicación en empresas con estrategia digital |
| title |
Image processing and its potential application in companies with digital strategy |
| spellingShingle |
Image processing and its potential application in companies with digital strategy Taquía-Gutiérrez, José Antonio image processing retail marketing machine learning predictive analytics procesamiento de imágenes marketing para venta al detalle aprendizaje automático analítica predictivaAbstract |
| title_short |
Image processing and its potential application in companies with digital strategy |
| title_full |
Image processing and its potential application in companies with digital strategy |
| title_fullStr |
Image processing and its potential application in companies with digital strategy |
| title_full_unstemmed |
Image processing and its potential application in companies with digital strategy |
| title_sort |
Image processing and its potential application in companies with digital strategy |
| dc.creator.none.fl_str_mv |
Taquía-Gutiérrez, José Antonio |
| author |
Taquía-Gutiérrez, José Antonio |
| author_facet |
Taquía-Gutiérrez, José Antonio |
| author_role |
author |
| dc.subject.none.fl_str_mv |
image processing retail marketing machine learning predictive analytics procesamiento de imágenes marketing para venta al detalle aprendizaje automático analítica predictivaAbstract |
| topic |
image processing retail marketing machine learning predictive analytics procesamiento de imágenes marketing para venta al detalle aprendizaje automático analítica predictivaAbstract |
| description |
Peruvian retail market today, more than ever, has turned the phrase “everything goes through the eyes” into a competitive tool. The design and optimization of space, as well as visual merchandising, are techniques that impact the sale new concepts such as omnicanality and buying experience are fed by data analytics in order to describe the commercial mode; and new qualitative sources of information, among them color theory, specially help to understand and predict the impact of future decisions on the point of sale. This paper describes the utility of image processing techniques to innovate the retail market in the effort to extract useful information from advertising pieces frequently used in this sector. |
| publishDate |
2017 |
| dc.date.none.fl_str_mv |
2017-12-18 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
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article |
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publishedVersion |
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https://revistas.ulima.edu.pe/index.php/Interfases/article/view/1767 10.26439/interfases2017.n10.1767 |
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https://revistas.ulima.edu.pe/index.php/Interfases/article/view/1767 |
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10.26439/interfases2017.n10.1767 |
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spa |
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spa |
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https://revistas.ulima.edu.pe/index.php/Interfases/article/view/1767/1819 |
| dc.rights.none.fl_str_mv |
Copyright (c) 2018 Interfases info:eu-repo/semantics/openAccess |
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Copyright (c) 2018 Interfases |
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openAccess |
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application/pdf |
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Universidad de Lima |
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Universidad de Lima |
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Interfases; No. 010 (2017); 11-29 Interfases; Núm. 010 (2017); 11-29 Interfases; n. 010 (2017); 11-29 1993-4912 10.26439/interfases2017.n10 reponame:Revistas - Universidad de Lima instname:Universidad de Lima instacron:ULIMA |
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Universidad de Lima |
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ULIMA |
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ULIMA |
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Revistas - Universidad de Lima |
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Revistas - Universidad de Lima |
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Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
