AI-Based Sales Forecasting Model for Digital Marketing
Sales prediction with minute accuracy plays a crucial role for an organization to sustain amidst the global competitive business environment. The use of artificial intelligence (AI) on top of the existing information technology environment has become one of the most exciting and promising area for a...
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Veröffentlicht in: | International journal of e-business research 2023-01, Vol.19 (1), p.1-14 |
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creator | Mukherjee, Tuhin Biswas, Biswajit Sanyal, Manas Kumar |
description | Sales prediction with minute accuracy plays a crucial role for an organization to sustain amidst the global competitive business environment. The use of artificial intelligence (AI) on top of the existing information technology environment has become one of the most exciting and promising area for any organizations in the current era of digital marketing. E-marketing provides customers to share their views with other customers. In this paper, the authors proposed a model which will be helpful to the digital marketers to find out the potential customers to extract value from customer feedback. The proposed model is based on artificial neural network and will make it possible to identify the customer demand depending on previous feedback and to predict the future sales volume of the product. The authors tried to utilize AI, mainly neural networks (NNs), to construct an intelligent sales prediction and also to apply ANNs for prediction regarding sales of mobile phone (Redmi, Note 6 Pro) one month ahead depending on customer feedback on two e-commerce platform, namely Amazon.in and Snapdeal.in. |
doi_str_mv | 10.4018/IJEBR.317888 |
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subjects | Artificial intelligence Artificial neural networks Business competition Customer feedback Customers Digital marketing Feedback Marketing Neural networks Sales Sales forecasting |
title | AI-Based Sales Forecasting Model for Digital Marketing |
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