AI-Powered E-Commerce: Enhancing Search & Order Placement with Generative Models

Authors

  • Poornakumar Rasiraju Highspot, USA. Author

Keywords:

E-commerce Artificial Intelligence, Retail Personalization, Blockchain Security, Multi-modal Search, Virtual Shopping Assistants

Abstract

Artificial intelligence's incorporation into e-commerce signifies a revolutionary change in online retail operations, radically altering how companies engage with their clientele and run their enterprises.  This thorough analysis looks at the effects of AI in four primary areas: future implications, checkout and security, shopping assistance, and search and discovery.  The article describes how multi-modal search, natural language processing, and enhanced personalization are just a few of the ways AI-powered technologies have transformed client experiences.  While providing strong protection against fraud, the deployment of blockchain-integrated security measures and intelligent shopping assistants has improved operational efficiency.  Significant gains in customer interaction, conversion rates, and operational efficiency throughout the e-commerce ecosystem are illustrated in the study.

References

McKinsey & Company, "The state of AI in 2023: Generative AI's breakout year," Aug. 2023. [Online]. Available: https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai-in-2023-generative-AIs-breakout-year

Grand View Research, "Artificial Intelligence In Retail Market Size, Share & Trends Analysis Report By Component (Solution, Services), By Technology (Machine Learning, Natural Language Processing), By Sales Channel, By Application, By Region, And Segment Forecasts, 2025 – 2030." [Online]. Available: https://www.grandviewresearch.com/industry-analysis/ai-retail-market-report

Start Motion Media, "The Guide To Implementing AI-Powered Site Search For E-commerce." [Online]. Available: https://www.startmotionmedia.com/the-ultimate-guide-to-implementing-ai-powered-site-search-for-e-commerce/

Deb Marotta, "Artificial Intelligence: How AI Is Changing Retail," Hitachi Solutions. [Online]. Available: https://global.hitachi-solutions.com/blog/ai-in-retail/

Salesforce, "AI Shopping Assistants: A Guide." [Online]. Available: https://www.salesforce.com/commerce/ai/shopping-assistants/

Deloitte, "Future of retail: Profitable growth through technology and AI," Feb. 2024. [Online]. Available: https://www2.deloitte.com/content/dam/Deloitte/in/Documents/consumer-business/in-cb-future-of-retail-profitable-growth-through-technology-and-AI-noexp.pdf

Marek Palys, "How AI-Driven Smart Retail Solutions Are Revolutionising Shopping," Startup House, Oct. 2024. [Online]. Available: https://startup-house.com/blog/ai-driven-smart-retail-solutions

Sipho Mkhize et al., "Integrating Blockchain and Artificial Intelligence for Enhanced Transparency, Security, and Efficiency in E-Commerce Supply Chains: Applications, Challenges, and Future Directions," ResearchGate, February 2022. [Online]. Available: https://www.researchgate.net/publication/386907924

Abhinandan Jain, "The future of retail: How AI is transforming retail industry," Startek, Jan 15, 2025. [Online]. Available: https://www.startek.com/insight-post/blog/the-fure-of-ai-in-re/

Stephanie Dart, "The future of retail with Dynamics 365 AI-powered ERP solutions," Microsoft Dynamics 365, Jan. 2025. [Online]. Available: https://www.microsoft.com/en-us/dynamics-365/blog/business-leader/2025/01/09/the-future-of-retail-with-dynamics-365-ai-powered-erp-solutions/

Downloads

Published

2025-02-26

How to Cite

Poornakumar Rasiraju. (2025). AI-Powered E-Commerce: Enhancing Search & Order Placement with Generative Models. ISCSITR- INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE (ISCSITR-IJAI), 6(1), 44-59. https://iscsitr.in/index.php/ISCSITR-IJAI/article/view/ISCSITR-IJAI_2025_06_01_04