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SOLUTION · Asset & inventory

Retire the two-day stock-take.

Cycle counting RFID that retires the multi-day stock-take. Design for metal, liquids and portal geometry — or the count accuracy you bought will not survive the floor.

___BLOCK16___Cycle counting · Stockroom · live countSIMULATEDBay 7 countedHands-free in 30 s99.4% matchLocations420Counted today388Accuracy99.4%Aisle 3 swept · 210 tags reconciledPassive RFIDSTOCKROOMBAY 7COUNT PORTALRAIN overhead readerThe stock-take takes two daysYou close the floor to count, then trust it a monthBay counted in minutes, as often as you like
Where programmes stall

Cycle count programmes stall when recounts never change the process that created the error.

Root cause, not score

A higher count accuracy with the same receiving mistakes is theatre. Feed discrepancies into process CAPA.

Trigger logic

Blind calendar counts waste labour. Trigger on exception, velocity class, and RF dark zones.

System of record

Handheld truth that loses to WMS overrides trains people to ignore the scan. Define who wins and when.

How it works

Automated cycle counting: how it works, and what it pays back.

The right radio for the job — chosen, never sold — mapped to your use case. That is what makes the ROI fast.

1 · Tag

Items carry Passive RFID labels, often applied at source.

2 · Sweep

A handheld, portal or robot reads the whole area in minutes — no line-of-sight, no scanning each item.

3 · Reconcile

Counts post straight to the system of record; discrepancies are flagged for a quick check.

4 min
vs 2 days
99%+
Count accuracy
hands-free
Continuous
−labour
Stock-take

Passive RFID → bulk reads · portals / robots → hands-free

Vendor-neutral

Which technology actually fits.

Paid only by you. Hardware stays on the vendor’s paper.

Passive RFID

Hundreds of reads per second.

Fixed readers

Continuous, hands-free counts.

Integration

Auto-reconcile to ERP.

Where it pays back

Industries this solution suits

In practice

A stock-take that no longer stops the floor.

A distribution centre swaps a two-day manual count for a bulk RFID sweep — handheld, portal or autonomous robot — reading thousands of tags a minute, continuously, with discrepancies flagged for a quick check.

Typically bought by: Warehouse operations, inventory control, 3PL, retail back-of-house.

USE CASES

Where this solution wins — examples by sector.

Apparel retail back-of-house and floor (retail)

Handheld Passive RFID cycle-counters lift accuracy and free staff time.

3PL warehouse cycle counts (logistics)

Counts done in hours not days; accuracy reaches 99%+.

Aerospace MRO spares (aerospace)

MRO spare cycle counts ensure AOG-readiness.

Pharma controlled-substances counts (pharma)

DEA-required counts done faster with full audit trail.

Hospital pharmacy and consignment (healthcare)

Inventory counts done weekly without disrupting clinical operations.

Who needs this kind of programme.

Retail, DC and manufacturing inventory teams replacing disruptive wall-to-wall counts with continuous accuracy.

Finance and audit owners who need evidence behind book-to-physical variance.

Operations seeking handheld or autonomous RFID counts that finish in minutes, not shifts.

What buyers compare in this market.

Impinj (R700 / Gen2X platform and silicon) and Zebra (FX9600, handhelds, printers) dominate RAIN cycle-count hardware shortlists; Alien Technology and Honeywell appear as value or handheld alternatives. Overhead arrays, portal reads and sled-based aisle sweeps are different designs — vendors will push the kit they sell. Gen2X-class protocol enhancements are marketed for denser, faster counts; the advisory question is whether your SKU mix and metal environment actually benefit.

Why RFID cycle counting fails.

Tags without encoding discipline. Duplicate EPCs and missing encodes poison every count.

WMS exception theatre. Counts that do not drive automatic adjustments recreate spreadsheet inventory.

One-shot pilots in ideal aisles. Metal, liquids and peak density destroy read rates the pilot never saw.

Independent. Vendor-neutral.

TRACIO does not sell readers or tags. We design the count method, RF acceptance tests and WMS integration so accuracy claims survive audit — Impinj, Zebra, Alien or mixed.

Who needs this kind of programme.

Retail, DC and manufacturing inventory teams replacing disruptive wall-to-wall counts with continuous accuracy.

Finance and audit owners who need evidence behind book-to-physical variance.

Operations seeking handheld or autonomous RFID counts that finish in minutes, not shifts.

What buyers compare in this market.

Impinj (R700 / Gen2X platform and silicon) and Zebra (FX9600, handhelds, printers) dominate RAIN cycle-count hardware shortlists; Alien Technology and Honeywell appear as value or handheld alternatives. Overhead arrays, portal reads and sled-based aisle sweeps are different designs — vendors will push the kit they sell. Gen2X-class protocol enhancements are marketed for denser, faster counts; the advisory question is whether your SKU mix and metal environment actually benefit.

Why RFID cycle counting fails.

Tags without encoding discipline. Duplicate EPCs and missing encodes poison every count.

WMS exception theatre. Counts that do not drive automatic adjustments recreate spreadsheet inventory.

One-shot pilots in ideal aisles. Metal, liquids and peak density destroy read rates the pilot never saw.

FAQ

Frequently asked questions

How does RFID cycle counting differ from barcode scanning?

RFID reads many tags at once without line of sight, so a count that took hours with a scanner takes minutes - making frequent, rolling counts practical instead of disruptive annual stocktakes.

Handheld, fixed readers, or robots and drones?

All are options. Handhelds suit periodic counts; fixed portals and overhead readers automate high-traffic zones; robots or drones cover large warehouses hands-free. We choose by volume and layout.

What accuracy can we expect?

Well-designed RFID routinely takes inventory record accuracy from the 60-80% typical of manual processes to 95-99%+, depending on tagging and the read environment.

Does it work near metal and liquids?

These are the classic RF challenges, but the right tag selection, placement and reader tuning - validated in a site survey - handle most metal and liquid environments.

How does it feed our WMS or ERP?

Counts reconcile against your WMS or ERP via API so discrepancies surface automatically, rather than living in a spreadsheet.

Ready to scope it?

30 minutes on the use case, the technology and the numbers.

预约 30 分钟范围沟通

Last updated: 13 September 2026