Architecture Design and Key Technologies Study of Omnichannel Business Platform for Electric Power Marketing

Lin, Hong; Ouyang, Hong; Fang, Xuemin; Wang, Jinzhi; Bao, Yuan; Yang, Wei

doi:10.1088/1742-6596/1646/1/012087

Cited by 5 publications

(3 citation statements)

References 3 publications

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“…Lin et al introduced that most power enterprises have initially established information systems for marketing operations and management, and a few power enterprises have also adopted advanced intelligent systems for data processing and processing. In addition, the maturity of load control system technology not only realizes the online detection and control of parameters such as power and electricity but also makes remote automatic meter reading, prepurchase of electricity, power theft monitoring, and so on a reality, which shows that its application field is expanding rapidly and its practicability is also greatly improved [14]. Ling et al innovate the internal management system and marketing service mode of the enterprise.…”

Section: Related Workmentioning

confidence: 99%

Analysis of Enterprise Marketing Data Management Integration and Innovation Path Based on BD

Wang

Hoang

2022

Wireless Communications and Mobile Computing

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In recent years, the marketing data sources of enterprises are not sufficient, and the quality of data cannot be guaranteed. In addition, although the data has the characteristics of “large amount,” there is a lot of data garbage in it, and the amount of valuable data is not large. Taking electric power enterprises as an example, electric power marketing is the key of power supply enterprises, and its development determines the survival and development of enterprises to some extent, which is of great significance to power supply enterprises. Big data (BD) not only brings many positive effects to the marketing of electric power enterprises but also brings some negative effects to electric power enterprises. Based on the background of BD, this paper studies the integration and innovation path of marketing data management in electric power enterprises. The research shows that the accuracy rate of this method is the highest, followed by machine learning, and finally AI. With the increase of the number of samples, the accuracy of this method becomes higher and higher. When the number of samples reaches 13, the accuracy of this method can reach 85%, that of machine learning is 56%, and that of AI is 43%. It can be seen that this method is more suitable for data management integration of electric power marketing. According to the characteristics of the era of BD, electric power enterprises should innovate marketing data management system, construct efficient and perfect data processing flow, fully tap the potential value of data, and make contributions to the development of electric power enterprises.

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Section: Related Workmentioning

confidence: 99%

Analysis of Enterprise Marketing Data Management Integration and Innovation Path Based on BD

Wang

Hoang

2022

Wireless Communications and Mobile Computing

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“…Para la inevitable transformación digital, es importante la mejora de las capacidades de procesamiento de datos, la creación de servicios integrados con respuesta rápida y el desarrollo de capacidades operativas digitales (Lin et al, 2020). En este sentido han cobrado mucha importancia algunos pilares de la Industria 4.0, como son el big data, la inteligencia artificial (IA), la realidad virtual (RV), la realidad aumentada (RA) y el blockchain, que están modificando los negocios minoristas para llevar a cabo un entorno competitivo y sostenible (Cai y Lo, 2020).…”

Section: Tecnologías Digitalesunclassified

Omnicanalidad como estrategia competitiva: una revisión conceptual y dimensional

et al. 2022

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La digitalización ha dado lugar a la aparición de conceptos como la omnicanalidad. Así, esta investigación tuvo como objetivo desarrollar una revisión teórica, a través de un análisis de mapa de redes temáticas y entrevistas con expertos, para describir las áreas empresariales críticas del proceso y sus dimensiones. Las áreas empresariales importantes en las que se presenta la estrategia son la cadena de suministro e inventarios, el marketing y los modelos de negocio y las tecnologías digitales. Entre las dimensiones encontradas se encuentran el mercadeo digital y los sistemas de fidelización y empoderamiento de los clientes en canales en línea y fuera de línea; sistemas de información digital, integrados en tiempo real a la cadena de suministro; y plataformas para la captura, analítica e intercambio de grandes volúmenes de datos en interacción con los clientes. En la revisión realizada, se encontró que la omnicanalidad es más rentable que otras estrategias, optimiza entregas, rotación de inventarios y costos.

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“…The second article refers to building the omnichannel business platform for the electric power marketing and integrating all online service resources, with the features of customer aggregation, business integration and data sharing, are an inevitable pathway for the power grid enterprise to establish the customer-centric modern service system and realize its digital transformation strategy. The overall architecture of the omnichannel business platform is proposed and the detailed design for the eight shared service centers are given respectively for user center, ticket center, electronic bill center, payment center, order center, points center, online customer service center, and messaging center (Lin et al, 2020).…”

Section: Omnichannel In the Consumer Electronics Industry -Literature Reviewmentioning

confidence: 99%

Consumer Preferences for Omnichannel Customer Service in the Consumer Electronics Industry

Domański¹,

Hadaś²,

Wojciechowski³

2021

ERSJ

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Purpose:The purpose of the article is to identify the number and types of channels used by the consumer when purchasing consumer electronics (RTV equipment, cheap and expensive electronics). Design/Methodology/Approach: In the theoretical part, a systematic review of the scientific literature was used (Scopus and Web of Science databases). In the research part, a questionnaire study (CAWI method) based on a statistically representative sample of respondents was used. Findings: Literature review revealed the lack of detailed, deeper studies dedicated to multichannel purchasing of consumer electronics -research gap. The obtained research results show that in the purchasing process, customers prefer the channels of traditional stores and online stores, both in the homogeneous and heterogeneous configuration. Practical Implications: Knowledge of consumer behavior (preferred and unprecedented purchase channels) should interest multi-channel sellers and distributors in shaping solutions adequate to market expectations. Originality / Value: So far, research on multi-channel buy and sell transactions is based primarily on the interpretation of data collected by platforms and systems for recording commercial transactions -relative presumption of behavior. The original research approach used in this article allows for the analysis of consumer behavior at every stage of the transactiondirectly, at the source -ensuring the certainty of the information obtained, absolute reliability of purchasing behavior.

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Architecture Design and Key Technologies Study of Omnichannel Business Platform for Electric Power Marketing

Cited by 5 publications

References 3 publications

Analysis of Enterprise Marketing Data Management Integration and Innovation Path Based on BD

Analysis of Enterprise Marketing Data Management Integration and Innovation Path Based on BD

Omnicanalidad como estrategia competitiva: una revisión conceptual y dimensional

Consumer Preferences for Omnichannel Customer Service in the Consumer Electronics Industry

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