Manufacturing

Industrial IoT Platform

Real-time machine monitoring, OEE, and predictive maintenance

Industrial IoT Platform project preview

Background & Context

Industrial IoT Platform operates in manufacturing. Before this build, teams relied on fragmented tools and manual coordination that slowed delivery, limited visibility, and made scaling harder as demand grew.

The Challenge

Limited machine visibility Unplanned equipment downtime Manual production monitoring Inefficient maintenance planning Lack of real-time operational insights

Our Approach

A smart Industrial IoT platform monitoring machinery, production equipment, utilities, and operational processes in real time—enabling data-driven manufacturing, OEE tracking, and predictive decision-making integrated with ERP.

  1. Discovery & architecture

    We mapped stakeholders, workflows, and constraints for Industrial IoT Platform, then defined a pragmatic architecture that balanced speed-to-market with long-term maintainability.

  2. Iterative build & integration

    A smart Industrial IoT platform monitoring machinery, production equipment, utilities, and operational processes in real time—enabling data-driven manufacturing, OEE tracking, and predictive decision-making integrated with ERP.

  3. Hardening & launch

    We validated performance, security, and operational readiness before go-live—documenting handoffs so internal teams could own the platform after launch.

What We Delivered

  • Reduced equipment downtime—delivered as part of a structured rollout with stakeholder sign-off.
  • Improved production efficiency—delivered as part of a structured rollout with stakeholder sign-off.
  • Better asset utilization—delivered as part of a structured rollout with stakeholder sign-off.
  • Predictive maintenance capabilities—delivered as part of a structured rollout with stakeholder sign-off.
  • Real-time operational visibility—delivered as part of a structured rollout with stakeholder sign-off.

Outcomes & Impact

  • Reduced equipment downtime
  • Improved production efficiency
  • Better asset utilization
  • Predictive maintenance capabilities
  • Real-time operational visibility

Together, these outcomes gave Industrial IoT Platform a clearer operating model: faster execution, better visibility for leadership, and a technical base that supports the next phase of growth.

Technology Stack

  • ASP.NET Core
  • SQL Server
  • MQTT
  • Apache Kafka
  • IoT Devices
  • Flutter

Services Delivered

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