Data-driven models for
Supply Chain Governance
Drawing on over a decade of experience within leading fashion and luxury brands, WEAR Transition has developed two innovative frameworks that introduce a data-driven model for supply chain governance.
Risk Data & Industrial Coherence Framework
A data-driven supply chain governance model designed to prevent reputational risks by integrating economic and industrial KPIs, with a particular focus on undisclosed subcontracting. The aim is to strengthen the organisation’s decision-making capabilities, making oversight more targeted, proportionate and sustainable over time.
ESG Data & Industrial Coherence Framework
A data-driven approach to supply chain governance that, through the integrated analysis of industrial, ESG, and compliance data, enables an effective response to the requirements of the new European directives concerning due diligence and greenwashing. The objective is to verify the consistency and reliability of the available information, increase supply chain visibility, and identify areas of greater exposure and vulnerability.
Enter your email to receive the documents and learn more about our approach and methodologies.