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AI-Based Sales Forecasting Model for Digital Marketing

Biswajit Biswas et al.

International Journal of e-Business Research2023https://doi.org/10.4018/ijebr.317888article
AJG 1
Weight
0.67

What the paper says

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.

26 citations

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https://doi.org/https://doi.org/10.4018/ijebr.317888

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@article{biswajit2023,
  title        = {{AI-Based Sales Forecasting Model for Digital Marketing}},
  author       = {Biswajit Biswas et al.},
  journal      = {International Journal of e-Business Research},
  year         = {2023},
  doi          = {https://doi.org/https://doi.org/10.4018/ijebr.317888},
}

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AI-Based Sales Forecasting Model for Digital Marketing

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Evidence weight

0.67

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.80 × 0.4 = 0.32
M · momentum0.80 × 0.15 = 0.12
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.