This paper is published in Volume-11, Issue-5, 2025
Area
Artificial Intelligence
Author
Purab Swarup
Org/Univ
Lotus Valley International School, Haryana, India
Keywords
Artificial Intelligence, Natural Language Processing, Responsible AI.
Citations
IEEE
Purab Swarup. The Digital Catalyst for India’s Green Transition: Applying AI-Driven Recommender Systems and Natural Language Processing to Enhance Sustainable Supply Chains in Tier 2 MSMEs, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Purab Swarup (2025). The Digital Catalyst for India’s Green Transition: Applying AI-Driven Recommender Systems and Natural Language Processing to Enhance Sustainable Supply Chains in Tier 2 MSMEs. International Journal of Advance Research, Ideas and Innovations in Technology, 11(5) www.IJARIIT.com.
MLA
Purab Swarup. "The Digital Catalyst for India’s Green Transition: Applying AI-Driven Recommender Systems and Natural Language Processing to Enhance Sustainable Supply Chains in Tier 2 MSMEs." International Journal of Advance Research, Ideas and Innovations in Technology 11.5 (2025). www.IJARIIT.com.
Purab Swarup. The Digital Catalyst for India’s Green Transition: Applying AI-Driven Recommender Systems and Natural Language Processing to Enhance Sustainable Supply Chains in Tier 2 MSMEs, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Purab Swarup (2025). The Digital Catalyst for India’s Green Transition: Applying AI-Driven Recommender Systems and Natural Language Processing to Enhance Sustainable Supply Chains in Tier 2 MSMEs. International Journal of Advance Research, Ideas and Innovations in Technology, 11(5) www.IJARIIT.com.
MLA
Purab Swarup. "The Digital Catalyst for India’s Green Transition: Applying AI-Driven Recommender Systems and Natural Language Processing to Enhance Sustainable Supply Chains in Tier 2 MSMEs." International Journal of Advance Research, Ideas and Innovations in Technology 11.5 (2025). www.IJARIIT.com.
Abstract
This paper proposes an AI-driven marketplace that leverages Natural Language Processing (NLP), Document Intelligence, and Learning-to-Rank (LTR) models to resolve market frictions of discovery, trust, and compliance. NLP structures fragmented product data, while document AI verifies sustainability claims aligned with frameworks like BRSR, EPR, and MSME ZED certification. LTR algorithms prioritise verified green suppliers, incentivising sustainable practices. The platform also ensures inclusivity through cross-lingual conversational agents, fairness audits, and interoperability via ONDC. By enabling verifiable “green matching,” the system supports corporate Scope 3 emission reductions while advancing SDGs. The research demonstrates how AI marketplaces can serve as digital infrastructure for climate resilience and inclusive economic growth in India’s green transition.
