基于人工智能的数字营销销售预测模型

Biswajit Biswas, M. Sanyal, Tuhin Mukherjee
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引用次数: 2

摘要

准确的销售预测对于一个组织在全球竞争激烈的商业环境中维持至关重要的作用。在现有的信息技术环境之上使用人工智能(AI)已经成为当今数字营销时代任何组织最令人兴奋和最有前途的领域之一。网络营销为客户提供了与其他客户分享意见的机会。在本文中,作者提出了一个有助于数字营销人员发现潜在客户并从客户反馈中提取价值的模型。该模型基于人工神经网络,可以根据之前的反馈来识别客户需求,并预测产品的未来销量。作者试图利用人工智能,主要是神经网络(NNs)来构建智能销售预测,并根据两个电子商务平台,即亚马逊的客户反馈,应用人工智能预测一个月前手机(红米,Note 6 Pro)的销售情况。in和snapdeal in。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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 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.
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