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
DOI	https://doi.org/10.71097/IJSAT.v16.i1.2331

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International Journal on Science and Technology