IoT & Cloud Platform – TCM RFID Pte Ltd

Technology Solution

IoT & Cloud Platform

A unified cloud platform connecting all your RFID readers, sensors, and mobile devices — delivering real-time data streams, live operational dashboards, and analytics across every site from a single console.

The Problem

IoT Data Without
a Platform to Use It

RFID readers and sensors generate continuous data streams — but without a cloud layer to collect, process, and surface that data, it sits idle in local systems that nobody can see across sites.

IoT Devices Operating in Isolation

Readers and sensors at each site capture rich data locally but have no path to a central platform — making it impossible to aggregate, compare, or act on data across locations.

No Unified View Across Sites

Each facility runs its own local system with its own dashboards and reports. Management has no consolidated view — forcing manual data consolidation that is always out of date by the time it arrives.

On-Premise Bottlenecks & Single Points of Failure

Local servers require on-site maintenance, create single points of failure, and limit scalability — adding IT overhead without the resilience or flexibility of cloud infrastructure.

Raw Data Without Actionable Insight

Large volumes of IoT data are collected but never analysed — no trend detection, no anomaly alerts, no forecasting. Operational decisions are still made on gut feel rather than real-time patterns.

All Sites. All Devices. One Platform.

The Process

From Device to Dashboard — How It Works

Every RFID reader, sensor, and mobile device becomes a live data source — collected at the edge, processed in the cloud, and surfaced as actionable intelligence on a real-time dashboard.

Connect

Every RFID reader, IoT sensor, and mobile device is enrolled and connected to the cloud platform — with secure, authenticated data channels from each endpoint.

Collect

Data streams from every connected device flow to the cloud in real time — RFID reads, sensor telemetry, scan events, and location updates are all ingested continuously.

Process

Edge and cloud processing filters noise, applies business rules, enriches raw events with context, and transforms data into structured records ready for dashboards and integrations.

Visualise

Live dashboards, configurable per role and site, surface the KPIs that matter to each user — from floor-level operators to cross-site management — all updated in real time.

Act

Automated rules trigger alerts, notifications, and downstream system updates the moment thresholds are crossed — turning real-time data into immediate operational action.

Key Capabilities

What the Platform Delivers

Cloud Device Management

Enrol, monitor, configure, and update every RFID reader, sensor, and mobile device from a single cloud console — with live connectivity status, firmware management, and remote diagnostics across every site without needing on-site IT.

Real-Time Dashboards & Reporting

Configurable live dashboards showing the KPIs relevant to each user — inventory levels, asset locations, workforce activity, or throughput metrics — all auto-refreshed from the live data stream with no manual export required.

Edge Computing Support

For environments where cloud latency cannot be tolerated — clinical settings, high-frequency warehouses, or poor-connectivity sites — edge gateways process and act on data locally, then sync to the cloud when connectivity allows.

Service Architecture

Our IoT platform is built on a dual-protocol service architecture — HTTP for request-response integrations with enterprise applications and dashboards, and MQTT for lightweight, low-latency publish-subscribe messaging between edge devices and the cloud. This ensures reliable, efficient data flow whether devices are on a stable network or operating in constrained, high-frequency environments.

Multi-Site & Multi-Tenant Architecture

A single platform instance manages hundreds of sites, with role-based access that scopes each user's view to the sites and data they're authorised to see — from site operators to regional managers to enterprise heads.

Edge-to-Cloud Data Pipeline

Data captured at the edge — whether from an RFID reader on a warehouse floor or a sensor in a clinical room — flows through a structured pipeline to the cloud in real time. Each stage handles ingestion, validation, enrichment, and storage, so the data reaching your applications is clean, contextualised, and immediately actionable — not raw event noise.

Measured Results

What Organisations Have Achieved

100%

Device visibility and connectivity status across all enrolled endpoints

<2s

End-to-end latency from IoT event to live dashboard update

99.9%+

Platform uptime with cloud-native redundancy and failover

Multi-site

Deployments across Singapore, Malaysia, and the Asia-Pacific region

See all your sites from one platform.

Tell us how many sites, devices, and data streams you're working with — and we'll show you what a TCM IoT Cloud deployment looks like for your environment, from a single facility to a regional estate.

Schedule a Platform Demo → All Solutions