Smart Scheduling Platform to Optimize Caregiver Assignments

A caregiving agency managing hundreds of caregivers across regions, providing homecare services on a daily, weekly, and live-in basis. Balancing client preferences, caregiver availability, location, and skills was becoming increasingly complex with scale.

The Need:
The client required a smart scheduling solution to optimize caregiver assignments based on availability, location, skill match, and continuity of care. Manual scheduling was inefficient and prone to errors, leading to delays, missed appointments, and suboptimal care continuity.

Our Solution:
We developed a rule-based and ML-augmented scheduler using open-source technologies (Python, OR-Tools, FastAPI). The system intelligently matches caregivers with clients while considering availability, travel time, prior assignments, and client preferences. The platform includes calendar integrations, real-time updates, and alerts for conflicts or gaps.

Outcome Achieved:

• Automated caregiver assignment with multi-criteria optimization
• Reduced scheduling errors and appointment delays by 60%
• Ensured continuity of care by considering historical pairings
• Improved caregiver satisfaction by reducing overbooking and travel strain
• Scalable solution with real-time calendar sync and mobile-friendly access