Retraced Leverages Oracle Autonomous AI Database to Enhance Transparency and Sustainability in Fashion

Strategic Insights -

Launched in 2019, Retraced has revolutionized the fashion industry by providing a global platform for supplier lifecycle management, helping fashion brands and suppliers simplify supply chain operations and respond to regulatory and market changes. To further scale its platform and enhance operational efficiency, Retraced selected Oracle Autonomous AI Database to deliver AI-powered search and analytics. This strategic move has enabled Retraced customers to unlock deeper supply chain insights, making better and faster decisions.

Key Takeaways:

  • Retraced, a global platform for supplier lifecycle management, is utilizing Oracle Autonomous AI Database to simplify operations, reduce costs, and add AI capabilities that enhance its functionality, performance, and user experience.
  • Retraced customers can now run semantic searches across their supply chain records with greater efficiency and accuracy, thanks to Oracle Autonomous AI Database's ability to represent all platform data as vectors.
  • Advanced AI-powered capabilities, including natural language querying and analysis of unstructured data, such as PDFs, images, and geospatial records, enable Retraced customers to track supplier information and product movement in global supply chains.
  • The new AI-powered capabilities are built directly into Retraced's existing database environment, maintaining enterprise-grade reliability through Oracle Autonomous Database's autoscaling, self-patching, and automatic tuning features.
  • Retraced's platform expansion into a complete supplier lifecycle management solution helps customers manage end-to-end supplier and product intelligence, simplify supply chain operations, and respond to regulatory and market changes.
  • By leveraging Oracle Autonomous AI Database, Retraced aims to enhance transparency and sustainability in the fashion industry, enabling its customers to make better, faster decisions.

Statistics:

  • 2019: Retraced was launched to help fashion brands and suppliers simplify supply chain operations and respond to regulatory and market changes.
  • Oracle Autonomous AI Database enables Retraced customers to process and analyze unstructured data, including PDFs, images, and geospatial records, which are critical for tracking supplier information and product movement in global supply chains.
  • The new AI-powered capabilities, built directly into Retraced's existing database environment, maintain enterprise-grade reliability through Oracle Autonomous Database's autoscaling, self-patching, and automatic tuning features.
  • By leveraging Oracle Autonomous AI Database, Retraced aims to enhance transparency and sustainability in the fashion industry, unlocking deeper supply chain insights and making better, faster decisions for its customers.

Sources:

  • pivotalsources.com, "Retraced, a global platform for supplier lifecycle management, selects Oracle Autonomous AI Database to enhance transparency and sustainability in fashion"
  • Oracle Autonomous AI Database, "Oracle Autonomous AI Database"