SaaS Engineering · Manufacturing

Intelligent Manufacturing Platform

An IoT-powered smart manufacturing platform monitoring production lines in real-time, predicting maintenance needs, and optimizing operations. Reduced downtime by 40% and increased efficiency by 25%. Connects 10,000+ IoT sensors across 50 production facilities. The platform processes millions of data points daily to provide actionable insights for production optimization. Our solution enabled predictive maintenance that prevented 500+ equipment failures, saving $2M+ in unplanned downtime costs. The system integrates with existing MES and ERP systems, providing a unified view of manufacturing operations across multiple facilities.

Client
SmartFactory Industries
Sector
Manufacturing
Scope
SaaS Engineering
Timeline
11 months

Outcomes

Unplanned downtime
−40%
Production efficiency
+25%
The challenge

What we had to solve

The solution

What we built

Reduced unplanned downtime by 40%, increased production efficiency by 25%, prevented 500+ equipment failures, $2M+ cost savings

  1. Before: Handling high-frequency data from thousands of sensors

    After: Built scalable MQTT infrastructure

  2. Before: Real-time processing and analytics

    After: Implemented real-time stream processing

  3. Before: Integrating diverse manufacturing equipment

    After: Created unified equipment integration framework

  4. Before: Predictive maintenance accuracy

    After: Developed ML models for predictive maintenance

  5. Before: Multi-facility data management

    After: Designed distributed data architecture

Also in the build

  • Real-time production monitoring

  • Predictive maintenance alerts

  • IoT sensor integration (10,000+ sensors)

  • Production analytics dashboard

  • Quality control automation

  • Supply chain optimization

  • Energy consumption tracking

  • Mobile apps for managers

  • Machine learning for optimization

  • Digital twin technology

  • Automated reporting

  • Integration with ERP systems

How we worked

The stack behind it

Delivered over 11 months.

Technologies

React · Node.js · Python · PostgreSQL · MQTT · InfluxDB · Grafana · AWS IoT Core · Azure IoT Hub · Docker · Kubernetes · TensorFlow · Apache Kafka · Redis · TimescaleDB · Prometheus

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