Integrating Social Media Marketing With AI through Predictive Examination
Gowtham Sethupathi M1, Akshay U2, Charan Surya M3, Gohul Nath M4, Sai Venkat5
1Gowtham Sethupathi M, Department of CSE, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
2Akshay U, Department of CSE, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
3Charan Surya M, Department of CSE, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
4Gohul Nath M, Department of CSE, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
5Sai Venkat, Department of CSE, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
Manuscript received on 24 November 2019 | Revised Manuscript received on 07 December 2019 | Manuscript Published on 14 December 2019 | PP: 13-19 | Volume-9 Issue-1S October 2019 | Retrieval Number: A10031091S19/19©BEIESP | DOI: 10.35940/ijeat.A1003.1091S19
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Social Media activities have a major shift in marketing of products and have become a universal tool for advertising products. Nowadays billions of people use social media for recreational purposes and the social media activities leave a digital footprint which makes it easy to analyze each online activity. But simply having a enormous amount of data is of no use unless one can read the past and predict the future. Ai can run through data, observe patterns, give individual high quality content to each customer. The project is implemented through U Methodology. This mode determines the prospect of a customer preferring a product in an online interaction through big data and predictive analysis. Involvement of artificial intelligence can reduce human error and inclination towards a certain product. The best product a customer needs is instantaneously displayed to the customer without any time lapse.
Keywords: Lapse, Methodology, Mode, Prospect.
Scope of the Article: Social Networks