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Platform · Industrial IoT Device Management at Scale

IoT Cockpit

A comprehensive industrial IoT management platform for monitoring, managing, and deriving intelligence from connected devices, sensors, and industrial equipment.
IoT Cockpit
IoT Cockpit — screen 1

Overview

Industrial IoT Device Management at Scale

Business Suite IoT Cockpit provides a unified control plane for industrial IoT deployments. From device onboarding and gateway management to real-time telemetry streaming and anomaly detection, IoT Cockpit gives operations teams complete visibility and control over their connected asset ecosystem. Integrated with Cortex AI for predictive analytics and Business Suite ERP for maintenance and asset management.

Strategic value

The operational technology landscape is undergoing a fundamental transformation. The convergence of operational technology (OT) and information technology (IT) creates an unprecedented opportunity — real-time machine intelligence feeding directly into enterprise decision-making. Organisations that bridge this gap gain a level of operational visibility that was simply impossible a decade ago. Those that do not are operating their physical assets effectively blind. IoT Cockpit enables the transition from reactive to predictive operations. When machines, sensors, and equipment report their health status continuously, maintenance teams can intervene before failure occurs rather than after it. This shift alone — from reactive maintenance scheduling to condition-based intervention — typically delivers a 30–45% reduction in unplanned downtime. For capital-intensive industries, even a 1% improvement in asset availability can represent millions in recovered production value. The key value drivers extend beyond maintenance into energy management, quality control, and operational efficiency. Real-time energy consumption data enables dynamic load balancing and peak demand management. Process parameter monitoring catches quality deviations at the source before they produce defective output. OEE tracking at the machine level gives production managers the precise visibility they need to optimise throughput rather than relying on end-of-shift summaries. What distinguishes Business Suite IoT Cockpit from standalone IoT platforms is its native integration with the ERP layer. A sensor alert does not just trigger a notification — it creates a maintenance work order in Business Suite Maintenance, checks spare parts availability in Business Suite Inventory, and initiates a Cortex AI analysis of historical failure patterns. This closed-loop integration between the physical world and business operations is the hallmark of genuine Industry 4.0 capability.

Capabilities

Everything it does, out of the box.

Device Registry

Centralised device inventory with status, metadata, firmware version, and location tracking.

Gateway Management

Manage edge gateways, protocol bridges, and communication channels.

Real-Time Telemetry

Live data streaming with configurable dashboards and threshold alerting.

Alert Engine

Rule-based and ML-driven alert generation with escalation policies and notification routing.

Simulation Mode

Generate synthetic sensor data for testing and development without physical hardware.

OTA Firmware Updates

Over-the-air firmware management with staged rollout and rollback capabilities.

Protocol Support

MQTT, CoAP, HTTP, Modbus, OPC-UA, and custom protocol adapters.

Digital Twins

Virtual device representations for simulation, testing, and predictive modelling.

Live product

IoT Cockpit
IoT Cockpit — screen 2

Specifications

Supported Protocols
MQTT, CoAP, HTTP, Modbus, OPC-UA
Data Frequency
Up to 1000 readings/second per device
Device Scale
Tested to 100,000+ devices
Retention
Configurable time-series storage
Alert Latency
<100ms from reading to alert
Integration
BS Maintenance, BS Manufacturing, Cortex AI

Use cases

Where it creates value.

  1. 01Factory floor machine monitoring and OEE tracking
  2. 02Utility meter reading and energy management
  3. 03Cold chain temperature and humidity monitoring
  4. 04Building management and HVAC optimisation
  5. 05Fleet telematics and vehicle health monitoring
  6. 06Water treatment and environmental monitoring

Benefits

Predictive MaintenanceDetect equipment failure before it happens with AI-powered anomaly detection.
45% downtime reduction
Energy SavingsOptimise energy consumption based on real-time operational data.
30% energy savings
OEE ImprovementImprove overall equipment effectiveness with real-time performance visibility.
25% OEE increase

Integrates with

Connected to the rest of your business.

  • BS Manufacturing
  • BS Maintenance
  • Cortex AI
  • BPM Engine
  • External SCADA

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