Reinventing E-Commerce: A Multidisciplinary Analysis of AI’s Role in Consumer Decision-Making, Business Innovation, and Market Efficiency

Authors

  • Mrs. Shireen Shaikh

Keywords:

Artificial Intelligence, E-commerce, Consumer Decision-Making, Market Efficiency, Business Innovation, Digital Commerce, Machine Learning, Personalisation

Abstract

The rapid evolution of Artificial Intelligence (AI) has fundamentally transformed the global e-commerce landscape, reshaping consumer behaviour, digital markets, and business efficiency. This research proposal aims to investigate the multidisciplinary impact of AI on e-commerce by examining its influence on consumer decision-making, business innovation, and market efficiency. The study integrates perspectives from commerce, technology, behavioural science, and economics to understand how AI-driven tools such as recommendation systems, chatbots, data analytics, supply chain optimisation, and personalised advertising are redefining online markets. Existing evidence suggests that AI technologies significantly enhance consumer trust, reduce search time, optimise inventory, streamline logistics, and improve customer service. However, the rapid adoption of AI also raises concerns related to privacy, algorithmic bias, digital inequality, and security vulnerabilities.

The proposed study adopts a mixed-method research design combining quantitative surveys from consumers and e-commerce businesses, qualitative interviews with industry practitioners, and secondary data analysis. The research is supported by a detailed review of literature from 2010–2025, showing the shift from traditional e-commerce practices towards highly automated, data-driven systems. The findings are expected to highlight how AI contributes to business innovation and efficiency while also identifying challenges and gaps in implementation, especially for small and marginalised businesses. The study’s outcomes will offer actionable insights for policymakers, e-commerce managers, and technology developers to design inclusive and responsible AI-driven digital markets.

References

Chen, L. (2011). Machine learning applications in e-commerce. Journal of Digital Marketing, 5(2), 110–122.

Dhar, V. (2022). AI automation and customer interaction during pandemic-driven e-commerce growth. International Journal of E-Business, 18(1), 45–62.

Gupta, M., & Bose, I. (2018). Chatbots and consumer trust: The role of AI in online retail. Journal of Retail Technology, 12(3), 33–48.

Huang, S. (2019). AI-powered logistics and inventory management in digital commerce. Operations & Supply Chain Review, 9(4), 201–218.

Jacobs, T. (2024). Generative AI and personalised engagement in online markets. Journal of Interactive Commerce, 14(1), 20–37.

Kumar, A., & Gupta, R. (2016). Digital marketing analytics: A machine learning perspective. Marketing Intelligence Review, 8(2), 55–68.

Linden, G., Smith, B., & York, J. (2010). Amazon.com recommendations: Item-to-item collaborative filtering. IEEE Internet Computing, 7(1), 76–80.

Ng, A. (2015). Deep learning and neural networks in modern e-commerce. AI Review, 4(1), 40–57.

Patel, H., & Shah, R. (2020). The effectiveness of AI-enabled systems during COVID-19 in e-commerce logistics. Journal of Contemporary Business Studies, 6(4), 112–129.

Roy, S. (2021). Dynamic pricing and revenue optimisation in online retail. E-Commerce Economics Review, 10(3), 80–95.

Shaikh, S. A., & Jagirdar, A. H. (2026). Beyond AI dependence: Pedagogical approaches to strengthen student reasoning and analytical skills. In S. Khan & P. Pringuet (Eds.), Empowering learners with AI: Strategies, ethics, and frameworks (Chapter 8, pp. 1–16). IGI Global.

Shaikh, S. A. (2024). Empowering Gen Z and Gen Alpha: A comprehensive approach to cultivating future leaders. In Futuristic Trends in Management (IIP Series, Vol. 3, Book 9, Part 2, Chapter 2). IIP Series. https://doi.org/10.58532/V3BHMA9P2CH2

Chougle, Z. S., & Shaikh, S. (2022). To understand the impact of Ayurvedic health-care business & its importance during COVID-19 with special reference to “Patanjali Products”. In Proceedings of the National Conference on Sustainability of Business during COVID-19, IJCRT, 10(1),

Bhagat, P. H., & Shaikh, S. A. (2025). Managing health care in the digital world: A comparative analysis on customers using health care services in Mumbai suburbs and Pune city. IJCRT. Registration ID: IJCRT_216557.

Parikh, V. C. (2022) Strategic talent management in education sector around organizational life cycle stages! JOURNAL OF THE ASIATIC SOCIETY OF MUMBAI, SSN: 0972-0766, Vol. XCV, No.11.

Parikh, V. (2023). Whistleblowing in B-Schools, Education and Society, Vol-47, Issue – 1, Pg. 183-1

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How to Cite

Mrs. Shireen Shaikh. (2025). Reinventing E-Commerce: A Multidisciplinary Analysis of AI’s Role in Consumer Decision-Making, Business Innovation, and Market Efficiency. International Journal of Research & Technology, 13(S4), 154–160. Retrieved from https://ijrt.org/j/article/view/701

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