AppMatic Tech engineers IoT cold-chain monitoring platforms, ingesting temperature and humidity data over MQTT into a time-series store, with real-time breach alerts and exportable compliance logs. Operators protect perishable and pharmaceutical shipments from a Node.js and React dashboard. 330+ products shipped since 2017.
A single unlogged temperature breach can spoil an entire cold-chain shipment and fail an audit. AppMatic Tech builds continuous monitoring with immediate alerts and tamper-evident compliance logs.
IoT Application Development Stack for Logistics
| Layer | What AppMatic Tech uses |
|---|---|
| Device ingest | MQTT broker, temperature and humidity sensors |
| Time-series store | TimescaleDB on PostgreSQL |
| Backend | Node.js ingestion and alerting service |
| Dashboard | React monitoring and shipment views |
| Compliance | Breach alerts, exportable audit logs |
How AppMatic Tech Delivers This
- Deploy and model temperature and humidity sensors per shipment or unit.
- Ingest readings continuously over MQTT into a time-series store.
- Trigger real-time alerts on any breach of the safe range.
- Generate exportable compliance logs for audits.
- Validate against real conditions and deliver with a support SLA.
Proof: Related AppMatic Tech Build
An IoT telemetry platform AppMatic Tech built to sync real-time data from physical devices.
Frequently Asked Questions
- How does cold-chain monitoring detect a breach?
- AppMatic Tech ingests temperature and humidity readings continuously over MQTT and alerts in real time when a value crosses the safe range, so operators can act before a shipment is lost.
- Does the platform produce compliance records?
- Yes. AppMatic Tech generates exportable, timestamped audit logs of the full temperature history, so cold-chain compliance can be demonstrated for regulators and customers.
- What backend handles the sensor data?
- AppMatic Tech ingests sensor data into a Node.js service backed by TimescaleDB, so both live monitoring and long-term compliance history are queryable.
Further reading: How to Scale an IoT Platform from 100 to 100,000 Devices: Architecture Decisions That Compound Early