ElectrifAi | Reduced costs, streamlined processes, and improved patient care with PAR-level prediction for a leading hospital RTLS provider

Healthcare

Reduced costs, streamlined processes, and improved patient care with PAR-level prediction for a leading hospital RTLS provider

Key Challenges

A leading IoT based real-time location systems (RTLS) software and service provider for healthcare organizations wanted to improve their demand forecasting capabilities by analyzing medical and hospital equipment stocking levels. The aim was to leverage historical information across categories, such as clean storage, patient rooms, and other locations to deliver accurate forecasting.

Our Products in Action

ElectrifAi analyzed and understood high-level trends with IoT input data to arrive at the overall stock trend. We leveraged time-series analysis by layers breaking into the trend, seasonality, etc. Our product also helped the client to drill down across categories to refine results by segments for trend analysis to accommodate different patterns. We also generated Periodic Automatic Replacement (PAR) level prediction appropriate to prevent overstocking or understocking.

Business Impact

Manage optimum PAR levels

Create a healthy inventory turnover rate

Promoting greater control over inventory ordering

Manage optimum PAR levels

Create a healthy inventory turnover rate

Promoting greater control over inventory ordering

Reduced costs, streamlined processes, and improved patient care with PAR-level prediction for a leading hospital RTLS provider

Talk to one of our experts.

Headquarters

Global Offices