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Accurate, high-speed stock counting, tracking, and tracing to improve stock replenishment, while reducing unnecessary manual counting, shrinkage, and high safety stock levels costs.
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WIREPAS TECHNOLOGY
WHAT IS WIREPAS
Wirepas Mesh is a decentralized, self-forming and self-healing wireless networking technology designed to connect large numbers of devices reliably and efficiently. Unlike traditional point-to-point wireless architectures, devices in a Wirepas network can communicate with neighbouring devices and relay data across multiple hops to reach a gateway, extending coverage while reducing the amount of fixed network infrastructure required.
The technology dynamically optimizes routing, radio resources and network performance, making it highly scalable, resilient and energy efficient. This makes Wirepas particularly well suited to large or complex environments such as hospitals, warehouses, factories and campuses, where it can support applications including asset tracking, inventory visibility, condition monitoring and industrial IoT.
WHAT IS WIREPAS USED FOR
Wirepas is typically used for large-scale IoT applications that require reliable, low-power wireless connectivity across complex environments. Common use cases include real-time asset tracking, inventory and material tracking, equipment monitoring, smart buildings, logistics, industrial automation and sensor networks in hospitals, warehouses, factories, mines and large campuses. Its self-forming, self-healing mesh architecture is particularly valuable where thousands of connected devices must operate reliably over wide areas while minimizing gateway, cabling and network infrastructure requirements.
WIREPAS VS. BLE
Traditional BLE uses a point-to-point architecture, where asset tags communicate directly with nearby gateways. It is simple, mature and cost-effective for smaller deployments, but larger environments can require many gateways and supporting network infrastructure to achieve reliable coverage.
Wirepas Mesh uses a decentralized, multi-hop architecture, allowing devices to communicate with one another and relay data through the network. This provides greater coverage, scalability and resilience with fewer gateways, making Wirepas particularly well suited to large, complex or high-density asset-tracking environments where infrastructure cost and reliability are key considerations.

WHEN TO CONSIDER WIREPAS
Wirepas is typically considered when an IoT or asset-tracking deployment needs to operate at scale across a large or complex environment. It is particularly attractive when traditional BLE would require a high density of gateways and associated network infrastructure to provide reliable coverage. Typical triggers include large facilities or campuses, thousands of tracked assets, multiple floors or buildings, difficult RF environments, high availability requirements, limited access to Ethernet or power for gateways, and a need to reduce infrastructure and ongoing operating costs. In short, traditional BLE is often a strong fit for simpler, smaller deployments, while Wirepas becomes increasingly compelling as coverage, device density, resilience and scalability increase.
smaRTE Solutions using WirePAS:
smaRTE Assets
Real-time and accurate tracking, tracing and monitoring of the health of your key operational assets to optimise asset utilisation, maximise uptime, reliability and ultimately, optimise your asset investment.
Examples of operational applications for WirePAS technology:
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Healthcare: Real-time tracking of medical equipment such as infusion pumps, wheelchairs, beds and portable diagnostic devices across hospitals and healthcare campuses.
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Warehousing & Logistics: Tracking pallets, containers, cages, forklifts and inventory throughout warehouses, distribution centres and logistics hubs.
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Manufacturing: Tracking tools, components, work-in-progress and material movement across production facilities while also connecting industrial sensors and equipment.
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Mining & Heavy Industry: Tracking personnel, vehicles, tools and high-value equipment across mines and large industrial sites where traditional network infrastructure can be difficult or expensive to deploy.







