Agentic AI-Driven Eco-Social Commerce Platform for Sustainable Purchasing

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Authors: Prof. Tejaswini A. Puranik, Prof. Anand G. Sharma, Shruti Pravin Kolpyakwar, Shruti Pravin Kolpyakwar, Sarthak Mohan Deshmukh, Aarti Sanjay Patil, Shailesh Mahendra Sharma
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Abstract

The fast development of digital commerce has expanded consumer product availability but has also exacerbated issues like greenwashing, trust, and the attitude-action gap in sustainable consumption. Current e-commerce systems are mainly designed for transactional convenience, and social media platforms are designed for engagement without offering trusted sustainability solutions. This paper introduces an Agentic AI-powered eco-social commerce system that combines social validation, sustainability verification, and online marketplaces in an integrated framework.The proposed method utilizes autonomous AI agents, Explainable AI, and social gamification to verify eco-friendly behavior, mitigate misinformation, and promote sustainable consumer behavior. A MERN-stack system architecture design is provided to illustrate how sustainable behaviors can be verified and rewarded in a scalable and energy-efficient way. The research illustrates how social validation and AI- based verification can be used together to close the attitude-action gap in sustainable consumption.

Fields of Study & Subjects

Environmental Sustainability in Business Green IT and Sustainability Digital Marketing and Social Media

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
12 March 2026
Language
EN