Capability
Rapid RFID capture for return and stocktake workflows.
Supported Hardware
Mobile, scan-heavy hardware for fast returns, allocations, cycle counts, and exception handling in busy environments.
Discuss this hardware categoryHigh-volume return processing where fast tag reads reduce queue pressure.
Allocation and issue workflows that need immediate confirmation against a person, order, or asset state.
Cycle counts, spot checks, and exception handling away from a fixed station.
Category Overview
Ledger pairs well with handheld RFID readers when teams need speed at the point of action. This category is best suited to workflows where staff are actively receiving, returning, locating, or checking assets across desks, stock rooms, and operational floors.
Best fit for Ledger workflows that rely on scan-heavy returns and mobile asset handling.
Works best where operators need reliable reconnection behaviour and a clear sense of scanner status.
Typically paired with mobile devices or enterprise handhelds rather than fixed workstations.
Capability
Rapid RFID capture for return and stocktake workflows.
Capability
Portable operation for front-desk, warehouse, and field movement.
Capability
Useful where reconnect behaviour and scanner status visibility matter to daily operations.
Capability
Supports workflows that depend on quick asset matching and responsive operator feedback.
In Scope
These devices are included in the first pass of the supported-hardware section. The intent is to make it easier to understand the kinds of hardware Ledger can work alongside, not to present exhaustive integration documentation.

Zebra
Enterprise UHF RFID sleds designed for fast, high-volume read performance in operational environments.
1300+ tag reads per second for scan-heavy workflows.
Bluetooth 5.3 and NFC tap-to-pair for easier connection setup.
Wi-Fi 6 support for over-the-air device management.
Designed to work with the Ledger Mobile application for scan-heavy asset workflows.
Next Step
We can help assess whether this category suits your operational process, data flow, and user environment before you commit to implementation work.