Prípadová štúdia · AerospaceAnonymizované na základe žiadosti. Menované odkazy pod NDA.
Manufacturing · Robotics

From managing robots to optimising an intelligent fleet.

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

Manufacturing · RoboticsAMR / AGV fleet intelligenceHybrid RTLS / RFID + analytics · measured outcomes.live asset positionHigherAMR/AGV utilisationDolnéidle charging time
Výzva

Proti čomu stáli.

Route congestion

Robotic traffic created congestion hotspots across zones.

Idle & charging downtime

Fleet utilisation and charging were unmanaged.

No fleet-level view

Robots were managed as individual machines, not a fleet.

Náš prístup

Neneutrálny predajca, riadený výsledkami.

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.

Ako sme to vyriešili?

Čo sme priniesli.

  • UWB RTLS real-time robotic positioning
  • BLE asset-interaction tracking
  • AGV/AMR telemetry route analytics
  • AI fleet orchestration — congestion, idle, predictive optimisation
Výsledky

Výsledok videl výbor.

Higher
AMR/AGV utilisation
Dolné
idle charging time
Bezpečnejšie
robotic traffic
Higher
throughput
“We stopped managing robots as individual machines and started optimising them as an intelligent fleet.”

— Director of operations, industrial manufacturing (client anonymised)

Použitá technológia

Tá hromada za ňou.

UWBBLEAGV/AMR telemetryAI orchestration
Mohol by to byť tvoj program?

Povedz nám, kde si uviazol.

Tridsať minút na vašom prípade použitia, čísla, a čo by vlastne presunúť vaše KPIs . Neneutrálny predajca, žiadne ihrisko.

Porozprávajte sa s poradcom