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.
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.