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