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Title

Deep Learning Model for Digital Sales Increasing and Forecasting: Towards Smart E-Commerce

  Ahmad Freij, Khalid Walid, Mohammad Mustafa 1

1  American University in the Emirates, Dubai, UAE
    (Afreij790@gmail.com ; 171110043@aue.ae; 171110063@aue.ae)


Doi   :   https://doi.org/10.54216/JCIM.080103

Received: August 12, 2021 Accepted: September 23, 2021

Abstract :

In this paper, we have proposed a system that will be able to forecast the sales of the e-commerce systems by using the techniques of the deep learning, the main goal of this paper is to help the business and the top management level of the company in decision making in order to provide the workplace the effectiveness and the efficiency in the workplace and to provide an efficient and effective system that it is intelligence to forecast and increase the sales of an e-commerce system, this paper will start with building an e-commerce website using different programming languages which are HTML, CSS, Django, JavaScript Bootstrap, and it this e-commerce website will have a specific database that contains different tables for the product list, the orders, and for the user information and many other tables, then the deep learning algorithms such as Deep Belief Networks and Convolutional Neural Networks will be applied in order to provide an effective system for digital marketing usage, so, it will be able to function as a marketing manager. 

Keywords :

Digital Marketing , Deep Learning , Artificial Intelligence , Smart E-Commerce , Business Intelligence , sales forecasting , sales increasing , E-Marketing , Python , Machine Learning

References :

[1] Bauer, J., & Jannach, D. (2018). Optimal pricing in e-commerce based on sparse and noisy data. Decision Support Systems, 106, 53–63.

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[3] Guo, J., Zhang, W., Fan, W., & Li, W. (2018). Combining geographical and social influ- ences with deep learning for personalized point-of interest recommendation. Journal of Management Information Systems, 35(4), 1121–1153.

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[5] Sha Nazim, S, & Rajeswari, M (2019). Creating a Brand Value and Consumer Satisfaction in E-Commerce Business Using Artificial Intelligence with the Help of Vosag Tech- nology. International Journal of Innovative Technology and Exploring Engineering, 8(8), 1510–1515.

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[7] Wirth, N. (2018). Hello marketing, what can artificial intelligence help you with. Interna- tional Journal of Market Research, 60(5), 435–438.

[8] Wunderlich, N. V., Heinonen, K., Ostrom, A. L., Patricio, L., Sousa, R., Voss, C., & Lem- mink, J. (2015). “Futurizing” smart service: Implications for service researchers and managers. Journal of Services Marketing, 29(6/7), 442–447.

[9] Xishu Li, Ying Yin, David Vergara Manrique, Thomas Bäck, Lifecycle forecast for consumer technology products with limited sales data, International Journal of Production Economics, Volume 239, 2021, 108206, ISSN 0925-5273, https://doi.org/10.1016/j.ijpe.2021.108206, 

[10] Yong-Hak, J. (2013). Web of science. Thomson Reuters. Zhang, H., Cao, X., Ho, J. K., & Chow, T. W. (2016). Object-level video advertising: an optimization framework. IEEE Transactions on Industrial Informatics, 13(2), 520–531.

 

 

 

 

 

 


Cite this Article as :
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MLA Ahmad Freij, Khalid Walid, Mohammad Mustafa. "Deep Learning Model for Digital Sales Increasing and Forecasting: Towards Smart E-Commerce." Journal of Cybersecurity and Information Management, Vol. 8, No. 1, 2021 ,PP. 26-34 (Doi   :  https://doi.org/10.54216/JCIM.080103)
APA Ahmad Freij, Khalid Walid, Mohammad Mustafa. (2021). Deep Learning Model for Digital Sales Increasing and Forecasting: Towards Smart E-Commerce. Journal of Journal of Cybersecurity and Information Management, 8 ( 1 ), 26-34 (Doi   :  https://doi.org/10.54216/JCIM.080103)
Chicago Ahmad Freij, Khalid Walid, Mohammad Mustafa. "Deep Learning Model for Digital Sales Increasing and Forecasting: Towards Smart E-Commerce." Journal of Journal of Cybersecurity and Information Management, 8 no. 1 (2021): 26-34 (Doi   :  https://doi.org/10.54216/JCIM.080103)
Harvard Ahmad Freij, Khalid Walid, Mohammad Mustafa. (2021). Deep Learning Model for Digital Sales Increasing and Forecasting: Towards Smart E-Commerce. Journal of Journal of Cybersecurity and Information Management, 8 ( 1 ), 26-34 (Doi   :  https://doi.org/10.54216/JCIM.080103)
Vancouver Ahmad Freij, Khalid Walid, Mohammad Mustafa. Deep Learning Model for Digital Sales Increasing and Forecasting: Towards Smart E-Commerce. Journal of Journal of Cybersecurity and Information Management, (2021); 8 ( 1 ): 26-34 (Doi   :  https://doi.org/10.54216/JCIM.080103)
IEEE Ahmad Freij, Khalid Walid, Mohammad Mustafa, Deep Learning Model for Digital Sales Increasing and Forecasting: Towards Smart E-Commerce, Journal of Journal of Cybersecurity and Information Management, Vol. 8 , No. 1 , (2021) : 26-34 (Doi   :  https://doi.org/10.54216/JCIM.080103)