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Data Spotlight 2025 Report

Data Spotlight 2025 Report

Bloomberg16-05-2025

As data becomes more granular and complex, its value in shaping investment strategies, and market demand for it, continues to grow. Increasingly, investors rely on large-scale datasets to construct theses, monitor assets, assess risks, and respond to market-moving events like inflation, supply chain disruptions, and environmental shifts.
In this special report, Bloomberg Enterprise Data's Quant and Data Science Team presents selected examples drawn from over 8,000 datasets, offering financial professionals a deeper view into how enterprise data can inform strategy and drive timely analysis.

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Muskogee Board of County Commissioners — Agenda
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Muskogee Board of County Commissioners — Agenda

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TextileGenesis and Recover Team on Traceability Pilot
TextileGenesis and Recover Team on Traceability Pilot

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time37 minutes ago

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TextileGenesis and Recover Team on Traceability Pilot

Recover and TextileGenesis are collaborating on a traceability pilot, meant to help track recycled material through its life. Recover produces recycled cotton fiber blends used by brands and retailers aiming to make their value chain more circular. TextileGenesis, owned by technology company Lectra, is a software-as-a-service (SaaS) offering that better enables traceability for fashion and apparel purveyors. By joining forces, the companies are hoping to validate the promise of Recover's circularity capabilities. More from Sourcing Journal From Claims to Proof: How GenuTrace Provides Science-Backed Traceability Shuffle Board: Nike's Latest Leadership Realignment, Green-ish Founder to Direct CCI How Soorty Is Building a More Resilient, Traceable Cotton Supply Chain The pilot uses TextileGenesis's Fibercoin tool, which in effect creates a digital twin of a particular asset that can be tracked through the value chain. Fibercoins can be used to track fibers, fabrics and garments alike. In this case, TextileGenesis used Fibercoin to create a token for each kilogram of Recover material, which is intended to verify movement through the supply chain. The companies will use two styles to test the traceability of items through different types of supply chain systems. Recover helped bring its supply chain partners onto the TextileGenesis platform, where they learned how the technology works and completed mock transactions with Fibercoin items. Once the pilot is complete, TextileGenesis and Recover plan to use the technology for broader fiber-to-garment traceability across retail supply chain use cases at a larger scale. The idea is that, by tracing the material input through to the retail storefront, companies will more easily be able to validate circularity and recycling claims. For companies doing business inside the European Union, that will become particularly important ahead of incoming regulations, said Orsolya Janossy, senior sustainability manager at Recover. 'Traceability plays a foundational role in validating circularity claims and preparing for regulations like the EU Digital Product Passport,' Janossy said in a statement. 'This pilot will enable us to test the TextileGenesis system in real-world conditions. It will provide our brand partners with verified data to support responsible sourcing, product-level disclosures, and credible circularity claims.' Recover already uses physical tracers for its materials, but by teaming with TextileGenesis, it hopes to further validate circular claims and add more transparency into brands and retailers' supply chains. Amit Gautam, founder and CEO of TextileGenesis, said the company is well suited to take on that task with Recover. 'Recover is demonstrating how traceability can be embedded into circular business models—not just to validate recycled content, but to create the verified data infrastructure needed for regulatory compliance and brand accountability,' Gautam said in a statement. 'This sets the foundation for scalable, digital traceability across the recycled fiber ecosystem.' Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data

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