How Gousto reduces food waste and increases workforce productivity (MFG202)

Gusto's Journey to Data-Driven Operations using AWS

Summary

  1. Challenges Faced by Industrial Customers

    • Data is fragmented and lacks context
    • 80% of the time is spent gathering, ingesting, and preparing data
    • Building a solution requires significant time and resources, and scaling it is costly
    • Customers want easy access to their data regardless of its source
  2. AWS Approach: The Industrial Data Fabric

    • Enables a data-centric approach throughout the data lifecycle
    • Provides abilities such as accessibility, interoperability, sensibility, versioning, and scalability
    • Utilizes various AWS services and partners to ingest, store, and actualize data
  3. Gusto's Journey

    • Gusto, a meal kit company, faced challenges in ramping up production due to fluctuating equipment availability
    • They aimed to detect downtime quickly, minimize mean time to repair, and maximize time between faults
    • Gusto implemented a solution called "Factory OS" using AWS services and partners:
      • Ingested data from PLCs using Hyte
      • Routed data to AWS IoT Core for cloud connectivity
      • Built a fault detection system using AWS IoT Events
      • Implemented predictive maintenance using sensors and anomaly detection
      • Developed a real-time Scada system using Ignition
      • Integrated OEE data into the system for visibility and decision-making
      • Created a digital twin and simulation capabilities to test scenarios and optimize operations
  4. Next Steps

    • Introduced containerization and GitOps for infrastructure resilience
    • Developing a "Factory API" to abstract the factory from vendor-specific implementations
    • Exploring the use of AI/ML for predictive maintenance and optimization
  5. Recommendations

    • Start small, deliver value, and iteratively scale the platform
    • Leverage existing standards and tools, avoid building everything from scratch
    • Bring cross-functional teams together to foster collaboration and learning
    • Encourage the tech team to immerse themselves in the factory environment

The key takeaway is how Gusto leveraged AWS services and partners to build a data-driven, integrated system that enabled them to improve operational efficiency, reduce food waste, and increase productivity - all while preparing for future advancements in predictive maintenance and AI/ML-driven optimization.

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