International Journal on Science and Technology

E-ISSN: 2229-7677     Impact Factor: 9.88

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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Reducing Seller Friction through Generative AI: An Analysis of E-commerce Innovation

Author(s) Siddhant Sonkar
Country United States
Abstract This comprehensive article explores the transformative impact of generative AI models in reducing seller friction within e-commerce environments. The article examines the evolution of e-commerce operations through AI integration, focusing on automated customer support, dynamic content generation, and
predictive analytics for inventory management. The article analyzes the technical implementation requirements, including architecture considerations and model selection strategies, while evaluating the operational efficiency improvements and quality metrics across various e-commerce platforms. The article also addresses the challenges faced during AI implementation and presents strategic solutions for successful integration. It provides valuable insights for businesses seeking to enhance their e-commerce operations through AI technology.
Keywords Generative AI, E-commerce Optimization, Seller Friction, Automated Customer Support, Predictive Analytics
Field Computer
Published In Volume 16, Issue 1, January-March 2025
Published On 2025-03-07
Cite This Reducing Seller Friction through Generative AI: An Analysis of E-commerce Innovation - Siddhant Sonkar - IJSAT Volume 16, Issue 1, January-March 2025. DOI 10.71097/IJSAT.v16.i1.2331
DOI https://doi.org/10.71097/IJSAT.v16.i1.2331
Short DOI https://doi.org/g87cvt

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