DME Inventory Management Module
Client Background
Our client is a leading provider of DME solutions, serving a diverse range of healthcare facilities and patients.
Challenge
The client wanted to enhance their inventory management and delivery models to better meet the dynamic needs of the healthcare industry. Client’s goal was to reduce expenses, optimize inventory allocation, and improve delivery efficiency while ensuring high-quality patient care.
Solution
Glorium Technologies partnered with the client to develop an advanced inventory management and delivery solution using deep learning models and data-driven approaches. Our solution included the following key components:
- Developed advanced inventory management and delivery models
- Estimated potential expense reductions and сonfidence intervals
- Developed interactive data-driven analytics and insights
Data
Patient DME schedules
Medical records
Location data
Demographics
Features
Extracted features
Data preprocessing
Established data pipeline
Business Value
Reduced operational costsOur client provided a solution By optimizing inventory allocation and delivery processes, DME provider achieved substantial expense reductions.
Enhanced decision-makingThe interactive analytics platform provided real-time insights, empowering DME providers to make data-driven decisions.
Increased service qualityOptimized inventory and delivery processes led to improved service quality and patient satisfaction.
Tech Stack:
AI
ML
Python
MySql
Kubernetes
Docker
Our clients journeys
