Supply Chain Sustainability Management

This application area focuses on helping brands measure, monitor, and manage environmental and social impacts across complex, multi-tier supply chains. In fashion, that means tracing materials from farms and mills through factories, logistics providers, and distribution centers, then quantifying emissions, hotspots, and compliance risks at each step. The goal is to replace fragmented spreadsheets, generic emission factors, and static supplier maps with dynamic, data-driven visibility that supports concrete sustainability and sourcing decisions. AI is used to ingest and reconcile messy data from suppliers, logistics partners, product BOMs, and external databases; infer missing information; and continuously update supply chain maps and emissions profiles. Advanced models estimate Scope 3 emissions at a more granular, product- and route-specific level, flag anomalies or potential greenwashing, and simulate the impact of alternative materials, suppliers, or routes. This enables brands to meet regulatory reporting requirements, support credible sustainability claims with traceable data, and identify the most effective interventions to decarbonize and de-risk their supply chains over time.