Case study · AerospaceAnonimizirano na zahtjev. Imenovane reference prema NDA-u.
Manufacturing · Robotics

Od upravljanja robotima do optimizacije inteligentne flote.

A manufacturer running AMR s and AGV s had limited visibility into route congestion, charging downtime, idle fleet utilisation and cross-zone movement inefficiencies.

Manufacturing · RoboticsAMR / AGV fleet intelligenceHibridni RTLS / RFID + analitika · izmjereni ishodi.live asset positionHigherAMR / AGV utilisationLoweridle charging time
The challenge

What they were up against.

Route congestion

Robotski promet stvorio je žarišta zagušenja u različitim zonama.

Idle & charging downtime

Iskorištenost flote i punjenje nisu bili kontrolirani.

No fleet-level view

Roboti su se upravljali kao pojedinačni strojevi, a ne kao flota.

Our approach

Vendor-neutral, outcome-led.

UWB for real-time robotic positioning, BLE for asset-interaction tracking, AGV / AMR telemetry for route analytics, and AI orchestration for congestion, idle-time and predictive movement optimisation.

How we solved it

What we delivered.

  • UWB RTLS real-time robotic positioning
  • BLE praćenje interakcije s imovinom
  • AGV / AMR telemetry route analytics
  • Orkestracija AI flote — zagušenje, mirovanje, prediktivna optimizacija
Rezultati

The outcome the board saw.

Higher
AMR / AGV utilisation
Lower
idle charging time
Safer
robotic traffic
Higher
throughput
"Prestali smo upravljati robotima kao pojedinačnim strojevima i počeli ih optimizirati kao inteligentnu flotu."

— Direktor operacija, industrijska proizvodnja (klijent anonimiran)

Technology used

The stack behind it

UWBBLEAGV / AMR telemetryAI orchestration
Could this be your programme?

Tell us where you are stuck.

Thirty minutes on your use case, the numbers, and what would actually move your KPIs . Vendor-neutral, no platform pitch.

Talk to an advisor