Know where every item is. Resolve exceptions fast.
RFID LedgerOps maintains a last-seen location ledger on top of your existing inventory system, surfaces variances the moment they happen, and guides your team to resolution with evidence-linked alerts and targeted recount tasks.
42 min
Avg. time to pinpoint a misplaced pallet
85%
Reduction in ad-hoc cycle counts
10M+
RFID reads processed monthly per site
99.5%
Inventory location accuracy target
From RFID reads to resolved exceptions
Every feature is designed around one principle: show the evidence, recommend the next step, and make resolution fast.
RFID Event Ingestion
Capture reads from fixed portals and handhelds, deduplicate noise, and timestamp every last-seen presence automatically.
Variance Detection
Compare inferred moves and on-hand counts against your WMS baseline to flag missing, extra, or misplaced items in near real time.
Exception Workflow
Prioritized alerts with guided resolution steps. Create targeted recount tasks, assign them, and close exceptions with notes.
AI-Powered Q&A
Ask “Where was this last seen?” and get answers grounded in read history—with evidence links, not guesses.
Overlay Architecture
Syncs with your existing WMS/ERP via REST and webhooks. No rip-and-replace—your system of record stays intact.
Evidence-Linked Traceability
Every conclusion includes the reads, comparisons, and notes that support it. Review the evidence trail in one step.
How RFID LedgerOps works
Ingest RFID reads
Fixed portals and handheld scanners stream tag reads into the ledger. Noise is deduplicated; every item gets a timestamped last-seen location.
Reconcile against WMS
The system compares inferred positions and on-hand counts to your WMS baseline, flagging discrepancies as prioritized exceptions.
Resolve with evidence
Each exception comes with guided next steps, read history, and a targeted recount task. Close it out with notes and sync adjustments back.
Stop searching the floor. Start tracing the data.
Run a pilot on a single site, prove ROI with evidence-linked exception resolution, and scale across your network when you're ready.