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Sustainable consumption has become essential amid accelerating climate change, but consumers still lack accessible tools to evaluate the environmental impact of everyday purchases. This paper introduces ECO Wise, an AI-driven sustainable shopping assistant built on a modular multi-agent architecture powered by Agentic AI. The system analyzes product and brand sustainability using Google Cloud Vision for computer vision and LLMs, generating a unified ECO Score and offering greener alternatives supported by transparent reasoning. By transforming fragmented environmental data into clear, actionable insights, ECO Wise enables informed, climate-aligned consumer decisions and promotes transparency throughout supply chains.

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AI-Driven Multi-agent Sustainable Shopping Companion: ECO Wise

  • 会议论文

  • 发表日期：

    2026年

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  • Ojas Denge,
  • Wagh Yashwardhan,
  • Tanvi Jadhav,
  • Shruti Shinde,
  • Smita Kulkarni

摘要

Sustainable consumption has become essential amid accelerating climate change, but consumers still lack accessible tools to evaluate the environmental impact of everyday purchases. This paper introduces ECO Wise, an AI-driven sustainable shopping assistant built on a modular multi-agent architecture powered by Agentic AI. The system analyzes product and brand sustainability using Google Cloud Vision for computer vision and LLMs, generating a unified ECO Score and offering greener alternatives supported by transparent reasoning. By transforming fragmented environmental data into clear, actionable insights, ECO Wise enables informed, climate-aligned consumer decisions and promotes transparency throughout supply chains.