Shakudo

Use Case

Supply Chain Traceability Platform with AI: Real-time Semiconductor Lot Tracking

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Trusted By Industry Leaders

End-to-End Supply Chain Visibility Platform for Semiconductor Manufacturing

Shakudo enables semiconductor manufacturers to deploy an integrated supply chain visibility platform that connects fragmented supplier data systems and provides real-time lot tracking capabilities. The platform combines AI models for predictive quality control with automated data integration and standardization tools, allowing manufacturers to quickly onboard new suppliers and maintain consistent quality standards across their supply chain.

  • Real-time lot tracking and quality monitoring across suppliers with automated alerts and reporting
  • Standardized data collection and integration system that adapts to each supplier's existing workflows
  • Predictive quality control using AI models trained on historical manufacturing data
  • Recommended Data & AI Stack

    Address critical semiconductor supply chain challenges with a comprehensive lot tracking and supplier integration platform. This solution helps semiconductor manufacturers maintain quality control and supply chain efficiency while managing an increasingly complex network of suppliers and manufacturing partners.

    The platform uses Snowflake as a central data warehouse, with Minio providing secure object storage for supplier documentation and quality reports. DBT transforms raw manufacturing data into standardized formats, while Langchain powers AI models that predict potential quality issues before they impact production. N8N enables automated workflow triggers based on real-time manufacturing events, and Metabase delivers intuitive dashboards for tracking key metrics across the supply chain.

    Manufacturing teams gain immediate visibility into lot status, quality metrics, and supplier performance through a single interface. Quality managers can proactively address potential issues using AI predictions, while procurement teams get real-time insights for supplier management and capacity planning.

    Building and deploying this supply chain visibility platform traditionally requires 6-8 months of integration work. With Shakudo's managed platform, organizations can deploy these tools within days and securely connect their suppliers without complex IT infrastructure changes. As semiconductor manufacturing continues to evolve, Shakudo's flexible architecture allows teams to easily adopt new tools and capabilities while maintaining enterprise-grade security and reliability.

    Testimonials

    Driving Innovation Across Industries

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    "We chose Shakudo over alternatives because it gave us the flexibility to use the data stack components that fit our needs knowing that we can evolve the stack to keep up with the industry."

    Neal Gilmore

    Senior Vice President, Enterprise Data & Analytics
    @ QuadReal Property Group
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    "We use Shakudo to shorten development time and time to impact. The platform provides us with a value-added shortcut to get from Point A to Point Z much faster. It’s now weeks or months vs months and years."

    Chris Sullens

    CEO @ CentralReach
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    Digital Analytics | 40% of worldwide internet users

    "Almost overnight, Shakudo's product helped us move past many of those struggles so we could focus on solving business problems instead of scaling infrastructure."

    Adam Dille

    SVP of Product & Engineering @ Quantum Metric
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    Sports | NBA BAsketball Team

    "In the last two months, we’ve been able to Develop and deploy 4 new AI applications in 2 months, amounting to significant return on operation."

    Ben Levicki

    AI Solutions Architect @ Cleveland Cavaliers
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    Energy | 275% growth in customer base

    "Not very often I find slam dunk products like Shakudo!"

    Mike Kirkup

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    climate Risk | processes 33+ billion data points

    "With the help of the Shakudo platform, we were able to massively scale our production pipelines, while working collaboratively to meet our product goals."

    Andrew Wiebe

    Chief Science Officer @ RiskThinking.AI