IoT logistics and supply chain
tracking

IoT logistics and supply chain tracking turns physical flow into time-aligned data. From small, high-value items inside a depot to pallets, cages and mobile equipment moving across regions, the challenge is the same: knowing what is present, what moved, when it moved, and what condition it is in, without relying on manual scans or fragile connectivity.

Conventional approaches create blind spots. Scan-based processes introduce delay and human variance. Cellular tracking increases device cost and power consumption, and it is unreliable indoors, in yards, and through shielded environments. At scale, a workable tracking layer must be low power, coverage-first and operationally economical across thousands to millions of tagged assets.

Squared Technologies delivers a network-first sensing layer using low-power 433.868 MHz active RFID. Gateways distributed across estates and regions capture tag transmissions in real time, indoors and outdoors, without SIMs on the asset. Tags are long-life, typically operating for 10 to 15 years, enabling high-volume deployment with predictable operating costs and minimal maintenance.

This architecture enables real-time and near-real-time analytics across logistics operations. Teams can see what is in a depot, when assets leave, when they arrive, and where dwell-time builds up. Movement cues and zone transitions support chain-of-custody, utilisation optimisation and automated reconciliation across warehouses, yards and compounds.

Condition telemetry extends visibility beyond location. Temperature and humidity sensing can be attached to assets where it protects goods, supports quality assurance and flags handling risk early. Events become searchable evidence, not anecdote, and analytics can be tuned to operational hours, route profiles and service-level expectations.

At higher precision points, ultra-wideband can be layered in to deliver fine-grained location inside buildings or zones, while 433.868 MHz provides the wide-area backbone. This hybrid approach delivers both scale and accuracy without forcing high-power devices everywhere.

The commercial outcome is measurable. Real-time visibility reduces loss and shrinkage, enables asset recovery, and improves insurance posture through evidence-grade timelines. Predictive analytics reduce buffer stock, improve turnaround, and make performance repeatable across hubs, contractors and regions.