Optimise staff and resource planning

Mercy Hospital Fort Smith improves patient flow and throughput in the ER to improves LWBS rates by over 30% using machine learning

The Hong Kong Metro saves 800,000 hours annually by optimising engineering work scheduling and resource allocation with AI

Gold Coast Health saves $3m per annum in operational costs by forecasting patient arrival rates at emergency care using machine learning

Aviva accelerates from 400 to 10 days post-merger organisational planning and employee data integration with the use of machine learning

DM drugstores optimises shift planing in retail stores using advanced prediction modelling

Natividad Medical Center reduces time to see doctor by 20% and left without being seen rates by 42% by optimising patient flow and resource allocation in ER