Industrial Manufacturing

Enhance supply chain and production quality with data analytics

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Transform your operations with data engineering and AI

Complex supply chains are prompting industrial companies to push for complete visibility into the performance of their assets and logistics. Sigmoid helps manufacturers digitize operations by integrating data from siloed sources and IoT-enabled sensors to deliver near real-time insights. We enable advanced analytics on highly customizable dashboards, providing faster access to quality data and insights for manufacturing leaders.

Industrial manufacturing analytics for better decision-making

  • Create SSOT for data across plants, equipment, and geographies
  • Ingest real-time device data from multiple plants
  • Integrate manufacturing data from SCADA systems and IoT sensors
  • Centralize machine monitoring and diagnosis
Case Study

Find out how we automated data ingestion from 30+ sources and built a robust data hub for a Fortune 500 manufacturer.

Read case study
  • Enable real-time, integrated, and omniscient supply chain
  • Centralized hub monitoring real-time data on dashboards
  • Streamline processes for end-to-end visibility into supply chain
  • Detect anomalies and recommend solutions
Case Study

See how Sigmoid's ML-based demand forecasting improved a customer's forecasting accuracy and reduced costs by 5x.

Read case study
  • Ensure performance and minimize downtime with predictive insights
  • Improve productivity and overall equipment effectiveness
  • Enhance quality with anomaly detection and reliability analysis
  • Identify new emerging risk behaviors and reduce bad alerts
Case Study

Sigmoid built and automated an AI system to improve the customer's OEE by 2.5%, providing real-time alerting and recommendations.

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  • Enable live tracking and analytics implementation
  • Accelerate journey to autonomous operations with digital twin
  • Gain end-to-end visibility across inventory silos
  • Real-time intelligence and actionable recommendations
Case Study

Sigmoid’s IIoT analytics re-architected data pipelines for a top manufacturer, delivering 10x improvement in dashboard performance.

Read case study

Production

  • Create SSOT for data across plants, equipment, and geographies
  • Ingest real-time device data from multiple plants
  • Integrate manufacturing data from SCADA systems and IoT sensors
  • Centralize machine monitoring and diagnosis
Case Study

Find out how we automated data ingestion from 30+ sources and built a robust data hub for a Fortune 500 manufacturer.

Read case study

Supply Chain

  • Enable real-time, integrated, and omniscient supply chain
  • Centralized hub monitoring real-time data on dashboards
  • Streamline processes for end-to-end visibility into supply chain
  • Detect anomalies and recommend solutions
Case Study

See how Sigmoid's ML-based demand forecasting improved a customer's forecasting accuracy and reduced costs by 5x.

Read case study

Quality

  • Ensure performance and minimize downtime with predictive insights
  • Improve productivity and overall equipment effectiveness
  • Enhance quality with anomaly detection and reliability analysis
  • Identify new emerging risk behaviors and reduce bad alerts
Case Study

Sigmoid built and automated an AI system to improve the customer's OEE by 2.5%, providing real-time alerting and recommendations.

Read case study

Operational Intelligence

  • Enable live tracking and analytics implementation
  • Accelerate journey to autonomous operations with digital twin
  • Gain end-to-end visibility across inventory silos
  • Real-time intelligence and actionable recommendations
Case Study

Sigmoid’s IIoT analytics re-architected data pipelines for a top manufacturer, delivering 10x improvement in dashboard performance.

Read case study

Customer success stories

Insights and perspectives

Blog
3 ways data engineering and real-time analytics can boost factory floor productivity
Infographic
IIoT and predictive maintenance in manufacturing
Guidebook
Optimizing manufacturing production scheduling using constraint programming

Customer testimonials

Harness real-time analytics to streamline your manufacturing.