TY  - JOUR
AU  - G Lakshmi Swathi
AU  - Shaik Mohammad Ravuf
AU  - Shaik Abdul Farook
AU  - Pinniboyani Surya
AU  - Singaboina Pavan Krishna
PY  - 2026
DA  - 2026/03/15
TI  - AI-Powered Cross-Platform E-Commerce Search and Ranking Platform Using Agentic AI
JO  - Global Journal of Engineering Innovations and Interdisciplinary Research
VL  - 6
IS  - 3
AB  - The proposed AI-powered cross-platform e-commerce search and ranking platform uses Agentic AI
to coordinate multiple autonomous agents for user-intent interpretation, real-time data aggregation,
product comparison, sentiment analysis, dynamic ranking, and personalized recommendation. The
system is designed to support seamless interaction among AI agents, heterogeneous e-commerce data
sources, and end-user interfaces through a modular, scalable, and performance-aware architecture.
The platform emphasizes real-time responsiveness, adaptive ranking models, continuous learning from
user behavior, and efficient inter-agent coordination to improve relevance, transparency, and decision
quality in online shopping. The proposed design also focuses on reducing user effort during product
discovery by unifying search over multiple marketplaces and presenting a clear ranked output supported
by source-aware reasoning. This makes the system suitable for intelligent commerce environments where
product information changes frequently and user expectations are highly personalized.
SN  - 3066-1226
UR  - https://dx.doi.org/10.33425/3066-1226.1268
DO  - 10.33425/3066-1226.1268