
Accelerating environmental transformation through collective data intelligence and supply chain decarbonization.
The Fashion Pact, evolved by 2026 into a sophisticated data-exchange ecosystem, functions as a mission-driven technical framework for the global textile industry. It leverages a centralized digital infrastructure known as the 'Unlock' platform to facilitate collective Power Purchase Agreements (PPAs) and supply chain transparency. The architecture integrates Earth Observation (EO) satellite data and AI-driven predictive modeling to measure biodiversity impact and carbon sequestration across Tier 1 through Tier 4 suppliers. Positioned as the primary vehicle for CSRD (Corporate Sustainability Reporting Directive) and ESRS compliance in the fashion sector, it provides members with standardized data schemas for reporting. By 2026, the Pact has shifted from a voluntary coalition to a high-integrity data utility, utilizing machine learning to identify high-risk nodes in global sourcing. Its technical focus includes the mitigation of microplastic leakage and the transition to regenerative raw materials through verified blockchain-backed traceability. The platform serves as a middle-layer between individual brand ERPs and global environmental regulatory bodies, ensuring that sustainability claims are substantiated by granular, real-time operational data.
A proprietary algorithmic matching engine that pools the energy demands of multiple brands to secure large-scale renewable energy contracts.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Integration with Starling and other GIS services to provide real-time deforestation alerts and ecosystem health scores for sourcing regions.
Uses NLP and data scraping to normalize disparate supplier audit reports into a single, queryable environmental database.
Machine learning models that predict the Life Cycle Assessment (LCA) impact of garment designs before production based on material and origin.
Technical framework using river-mouth monitoring data to estimate the synthetic fiber leakage from textile manufacturing hubs.
Privacy-preserving data sharing (federated learning) to identify shared suppliers for collaborative infrastructure investment.
Direct mapping of internal Pact data to European Sustainability Reporting Standards (ESRS) templates.
Single brands lack the leverage to force energy changes at shared factories.
Registry Updated:2/7/2026
Track verified carbon reduction in real-time.
Proving leather origin to satisfy EU Deforestation Regulation (EUDR).
Measuring and reducing microplastic output from dyeing and finishing.