In today’s evolving regulatory and environmental landscape, what does a “resilient supply chain” actually look like, and how important is accurate data in helping us get there?
A resilient supply chain is one that can see around corners—anticipating heat, water, carbon, and policy changes and shocks before they show up in your P&L—and then moving quickly to mitigate them. That requires primary, facility-level data you can trust, coupled with forward-looking risk intelligence so teams can act with confidence, not averages. It’s why we built an insights dashboard of the top five decarbonization KPIs and expanded product-level GHG measurement with primary supplier data: to turn complex signals into decisive action across sourcing, procurement, and sustainability.
As risks and uncertainty rapidly shift, how do you see the role of sustainability data changing in the next decade?
Data is shifting from a rear-view compliance record to a strategic foresight system. The next decade belongs to companies that pair primary supplier data with predictive, contextual models—so you’re not only reporting Scope 3, you’re actively guiding investments like coal phase-out, electricity pricing exposure, and water stress reduction, and accelerating compliance with frameworks like the International Financial Reporting Standard S2 (IFRS S2) on climate-related disclosures, California’s Senate Bill 261, and the European Union’s Corporate Sustainability Reporting Directive (CSRD).
With change happening at pace, how do companies balance the need for fast decision-making with the depth and complexity of sustainability data
Speed comes from focus. We help shed light on impacts that leaders care about: total supply-chain emissions, water use, waste, heat intensity, carbon intensity, renewable electricity share, energy intensity, and more, so teams can hone in on the information they need to act quickly while data scientists keep enriching the model behind the scenes. That’s the design principle behind our solutions.
There are huge amounts of data available to companies, which can feel overwhelming. How can technology help us navigate through the data to create meaningful change?
Technology should do the triage for you. We just launched Worldly Axion a few weeks ago. By unifying primary facility data with dozens of external risk datasets—then applying AI to interpret what matters—brands can see location-specific priorities to improve the impact of their global supply chains: where to decarbonize first, which suppliers face water or heat stress, and what actions will reduce risk fastest. The outcome isn’t another report; it’s clear next steps embedded in everyday sourcing and compliance workflows.
Despite lots of data, many brands still struggle to trace the country of origin for raw materials. What should be the next steps to improve data collection and bring greater visibility to the raw-material supply chain?
Three moves:
- Standardize inputs at the source with simple, auditable data capture for mills and gins and pull that straight into product-level calculators.
- Make data consequential by linking upstream disclosures to environmental impacts and buying decisions; visibility into this data should shape awards like larger orders, better payment terms for facilities, and longer lead times, not just reports.
- Contextualize the data with risk. Brands can pair country-of-origin with location-based risk (water, heat, transition policy) so traceability directly informs resilience, social progress, and decarbonization plans.
For companies just beginning to use data for risk and resilience planning, what’s the one piece of advice you’d share?
Strengthen your relationships and engagement with your suppliers and communicate with them regularly to understand their impact and the challenges they’re facing. Start with a minimum viable metric set and primary data where it matters most. Get a clean baseline using product-level Scope 3 calculations, then layer in predictive risk signals to steer capital to the best returns. Momentum beats perfection.
The challenges and risks are significant—what gives you hope that we can move fast enough to build a resilient future for fashion, textile, and apparel?
We’ve seen a lot of silos break down in the past two years. Sustainability is much more embedded throughout an overall business today than it was previously. Finance, communications, and compliance teams are more interested in sustainability performance and progress than ever before, and sustainability teams need to be able to communicate effectively across all these functions. It’s exciting. I’m optimistic because we’re finally connecting trusted primary supply-chain data with intuitive analytics and forward-looking risk models and putting that insight in the hands of sourcing, finance, and compliance leaders, not just sustainability teams. When the same data powers social and environmental impact, product-level GHG accounting, and risk-aware sourcing and procurement, change compounds quickly and at scale.
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