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Impact of Social Media and AI on E-commerce Consumers

Author Affiliations

  • 1Department of Commerce, VIVA College of Arts, Commerce & Science, Virar (W), Maharashtra, India

Res. J. Management Sci., Volume 15, Issue (3), Pages 44-47, September,6 (2026)

Abstract

After arrival of social media and new trending artificial intelligence (AI) lots of change can be seen in behavior of consumers as well as in retailers. Most of consumers prefer to take help of social media and AI before making any buying decisions. This research paper explores the impact of social media as well as AI on E-commerce customers, examining the advantages and challenges associated with these technologies. Through a comprehensive review of existing literature, this study reveals that social media and AI can influence customer’s behavior, enhancing their shopping experience and driving sales for e-commerce businesses. E-commerce and AI tools provide more customized and involving shopping experience to customers. Social media is very helpful to retailer to cover large area and also facilitates interaction with customers from their places. Some useful AI based tools, such as catboats, recommendation systems; support consumers select products according to their requirements. Combination of AI tools and social media offer lots of benefits to e- customers. It helps consumers to finalize best suitable product according to their requirements with the help of recommendations and browsing history. Chatbots and virtual assistants are examples of AI powered tools. These tools provide reviews and products suggestions to customer. However, E- consumer should also know that they should be alert about need of protecting their data and ensure AI systems are fair and unbiased so that it will be benefit them positively. As AI & social media continue to shape the e-commerce industry, it is important for businesses to prioritize consumer data protection and transparency. By using these technologies in a responsible way, businesses can gain customer trust and boost their online sales.

References

  1. Chaffey, D., & Ellis-Chadwick, F. (2019)., Digital Marketing (7th ed.)., Pearson Education Limited.
  2. Turban, E., Outland, J., King, D., Lee, J., Liang, T., & Turban, D. (2018)., Electronic commerce: A managerial and social networks perspective., Springer.
  3. Sharma, R., & Verma, P. (2024)., Social media influence on consumer buying behaviour in online retail., Journal of Marketing Analytics, 12(3), 210–222.
  4. Kumar, V., & Gupta, S. (2025)., Role of artificial intelligence in e-commerce personalization., International Journal of E-Business Research, 21(1), 45–58.
  5. Singh, A. (2025)., Artificial intelligence applications in online retailing., Journal of Retail Technology, 9(1), 15–27.
  6. Patel, D., & Shah, K. (2023)., Impact of digital marketing on online shopping behaviour., International Journal of Business Research, 18(2), 90–102.
  7. Kotler, P., & Keller, K. L. (2016)., Marketing Management (15th ed.)., Pearson Education.
  8. Shankar, A., Perumal, P., Subramanian, M., Ramu, N., Natesan, D., Kulkarni, V. R., & Stephan, T. (2024)., An intelligent recommendation system in e-commerce using ensemble learning., Multimedia Tools and Applications, 83(16), 48521-48537.
  9. Sharma, M., & Kulkarni, A. (2025)., Role of chatbots in improving online customer experience., Journal of Digital Commerce, 7(2), 33–41.
  10. Patel, R. (2026)., Social commerce trends in India., International Journal of E-Commerce Studies, 14(1), 55–68.
  11. Gupta, R., & Mehta, S. (2026)., Consumer trust and AI-driven e-commerce platforms., International Journal of Advanced Commerce Studies, 5(1), 1–10.