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International Journal of Creative and Open Research in Engineering and Management

A Peer-Reviewed, Open-Access International Journal Supporting Multidisciplinary Research, Digital Publishing Standards, DOI Registration, and Academic Indexing.
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ISSN: 3108-1754 (Online)
Crossref DOI: Available
ISO Certification: 9001:2015
Publication Fee: 599/- INR
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License: CC BY 4.0
Peer Review: Double Blind
Volume 02, Issue 04

Published on: April 2026

AI TOOLS USED IN THE E-COMMERCE INDUSTRY: AN EMPIRICAL AND ANALYTICAL STUDY

VIKAS PANDEY

SHYAM DUBEY

DOI:https://doi.org/10.55041/ijcope.v2i4.724

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Plagiarism Passed Peer Reviewed Open Access

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Abstract

The Algorithmic Transformation of Global Trade The global e-commerce landscape in 2026 is no longer defined by simple digital storefronts, but by sophisticated, sentient-like ecosystems powered by Artificial Intelligence (AI). Since the early 2020s, AI has transitioned from a backend optimization tool to the primary driver of the "Customer Journey." The modern e-commerce experience is increasingly defined by "Zero-Effort Commerce," where AI anticipates consumer needs before they are explicitly stated. This shift represents a fundamental transformation in the relationship between retailers and consumers, moving from transactional interactions to predictive, long-term engagement.

How to Cite this Paper

PANDEY, V. (2026). AI Tools used in the E-Commerce Industry: An Empirical and Analytical Study. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(04). https://doi.org/10.55041/ijcope.v2i4.724

PANDEY, VIKAS. "AI Tools used in the E-Commerce Industry: An Empirical and Analytical Study." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i4.724.

PANDEY, VIKAS. "AI Tools used in the E-Commerce Industry: An Empirical and Analytical Study." International Journal of Creative and Open Research in Engineering and Management 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i4.724.

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References


  1. Brynjolfsson, E., & Smith, M. (2020). The Blueprint for AI in Retail. MIT Press.

  2.     Gartner (2025). E-commerce AI Adoption and ROI Report.

  3.     Flipkart Data Labs (2024). NLP and the Vernacular Revolution in Indian E-commerce.

  4.     Amazon Global Research (2025). The Logistics of Anticipation: Predictive Shipping Models.

  5.     Shopify (2026). The State of SME E-commerce: AI and Automation Trends.

  6.     Journal of Business Ethics (2025). "Transparency and Trust in the Algorithmic Marketplace."

Ethical Compliance & Review Process

  • •All submissions are screened under plagiarism detection.
  • •Review follows editorial policy.
  • •Authors retain copyright.
  • •Peer Review Type: Double-Blind Peer Review
  • •Published on: Apr 25 2026
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