Platform · Industrial IoT Device Management at Scale
IoT Cockpit

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

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.
- 01Factory floor machine monitoring and OEE tracking
- 02Utility meter reading and energy management
- 03Cold chain temperature and humidity monitoring
- 04Building management and HVAC optimisation
- 05Fleet telematics and vehicle health monitoring
- 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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