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Location Intelligence

Beyond the dot on a map. Position data that earns its place on the P&L.

An RTLS deployment gives you a moving dot: an x, a y, a timestamp, an ID. By itself, that dot is worth nothing. Location intelligence is the engineering that turns those raw position events into states, business events, automated decisions, and prediction — the signals your board already measures.

5
value layers above the dot
12+
board KPIs we map to
1
vendor-neutral event stream
Location analytics dashboard with KPI tiles and a flow trend
Why most programmes underperform

The technology rarely fails. The analytics layer is what's missing.

Vendors are good at producing positions. Where programmes stall is everything that has to happen after the position arrives: normalising it across vendors, deriving behaviour from it, expressing it in the language of the workflow, and firing an action that changes an outcome. That work is independent of the radio — which is exactly why it belongs with an independent advisor, not a hardware supplier.

The five-layer value chain

From raw signal to operational decision.

Every TRACIO engagement is built on the same architecture. Raw events flow up; decisions and learning flow down. A vendor-neutral event stream sits in the middle, so the radio layer can change without rewriting the workflow.

  • Layer 1 — Raw events: position fixes, reads, and telemetry from the radios.
  • Layer 2 — Derived states: dwell, transition, co-location — behaviour, not coordinates.
  • Layer 3 — Business events: pick-complete, asset-missing, patient-admitted.
  • Layer 4 — Decisions & automations: alerts, tickets, work orders, interlocks.
  • Layer 5 — Learning: prediction, anomaly detection, digital twin, simulation.

Read the full five-layer write-up →

KPIs mapped to the P&L

Every location signal ties to a number your board already reviews.

We don't ship dashboards for their own sake. Each analytics output is anchored to an operational KPI and the board-level metric it moves.

Location signal Operational KPI Board-level metric Typical lift
Dwell & flow time by zone Cycle time, takt adherence, bottleneck dwell Throughput & OEE +6–9 OEE pts
Read events at dock doors & cells Inventory / WIP accuracy Perfect-order rate, write-offs 65% → 99%+
Asset search & utilisation Equipment utilisation, hunt time Rental / capex spend −30–40% rental
Bed-state & patient-flow events Bed turn, length of stay Capacity & revenue per bed LOS −1.4 days
Trailer & yard location Dock dwell, detention minutes Logistics cost-out, SLA compliance €2.1m / yr
Geofence & proximity breaches Safety incidents, mustering time Insurance, lost-time injury rate FOD −71%

Lifts shown are representative ranges from anonymised TRACIO engagements. Your numbers are modelled against your baseline in the ROI calculator.

Live sample

What the output actually looks like.

A simulated analytics view. Switch the environment to see how the same engine produces different KPIs and zone-level flow. Real deployments feed these tiles from your WMS, MES, or EMR.

Operations overview
Warehouse / DC

● Simulated data. The event stream on the right is the same shape your systems receive in production — every position event normalised, time-aligned, and routed to the right operational system.

Worked examples

Before and after, by industry.

Anonymised cross-sections of TRACIO engagements. Named references and full case studies available under mutual NDA.

Healthcare equipment tracking
Healthcare · 600-bed acute

Equipment & patient-flow analytics

BLE 5.x AoA locating fed dwell and bed-state events into Epic and the biomed CMMS. Nurses stopped hunting for pumps; bed turn dropped.

−38%Rental spend
−1.4dLength of stay
9moPayback
Manufacturing WIP tracking
Automotive · Tier-1

WIP flow & bottleneck analytics

RAIN RFID reads plus UWB dwell, normalised into Siemens Opcenter. Zone-level flow analysis exposed the staging bottleneck no one could see.

99.2%WIP accuracy
+9OEE points
−17%Cycle time
Logistics dock and yard
3PL · 12 European DCs

Dock-dwell & yard analytics

Trailer location and dock-door reads streamed into Blue Yonder and SAP EWM. Detention minutes and dwell became a live, billable metric.

€2.1mAnnual saving
94%Read accuracy
7moPayback
Ready to go beyond the dot?

Bring a use case. We'll map the analytics to your numbers.

A 30-minute review of where your location data is today and the KPIs it could be moving. No deck, no commitment.

Book an analytics review