From Reporting to Transformation: A Review of AI Tools Enabling Sustainability Governance Across Multi-Tier Supply Chains

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

🔬研究者:This review categorizes AI tools for sustainability governance, highlighting gaps and best practices for future research.

🏢実務担当者:Provides a curated list of AI tools that can be used by firms to manage multi-tier supply chain sustainability, especially useful for procurement and sustainability teams.

🏛政策担当者:Highlights the need for accessible, affordable AI tools to enable SME participation in sustainability reporting, informing policy support for digital solutions.

This paper deals with the topic of artificial intelligence tools that have the capacity to assist with sustainability governance in multi-tier supply chains. These tools in the sustainability sector in general are meant to cut costs and enable small and medium enterprises and lower-tier suppliers to get access to best practices, streamline their sustainability efforts, and create universally comparable outputs. The added value of our research is to categorize existing tools, to identify potential gaps, and to enable users to understand the tools with the highest impact. We collect available solutions by a combination of desk research and interviews of industry experts from various levels of supply chain. We evaluate them by their capability to overcome five main challenges – data beyond simple reporting and manual collection, reach beyond Tier 1 suppliers, usability by small enterprises, involvement of artificial intelligence, and tools having an accessible cost. Having such an overview will assist low-key users with less resources to easily tap on existing solutions without large barriers.

• openalex https://doi.org/10.18690/um.epf.7.2026.10first seen 2026-07-18 06:26:04