Scheduling

Caire's scheduling system unifies pre-planning and daily optimization in one cohesive solution. All long-term patterns are stored as slingor (recurring weekly routes), which are expanded each night into a daily baseline. Visits that come from slingor are treated as locked by default, while explicitly movable visits remain unlocked so AI can optimize around the baseline. By combining slinga-based stability with unlocked flexibility, organizations achieve over 50% time savings in scheduling work, up to 20% travel reduction, and 75-80%+ staff utilization.

Pre-Planning handles new customers from municipal decisions, optimizes movable visits (cleaning, walks) over weeks/months with flexible time windows, and creates balanced schedules that minimize travel time while respecting customer preferences. Results in fixed times after customer approval.

Daily Scheduling optimizes today's visits with nightly automation, handles sick leave and cancellations in real-time within ±15/±30 minute flexibility buffers, and compares AI-optimized schedules against manual planning and actual visits from operations systems.

Why is routing optimization so difficult? Home-care routing is a computationally explosive problem combining multiple NP-hard challenges: vehicle routing with time windows (VRPTW), staff scheduling, skill matching, continuity requirements, and multi-objective optimization. A single day with 240 visits and 32 caregivers creates (240!)³² possible route permutations. Neither humans nor algorithms alone can solve this complexity—only a hybrid approach works. Learn more about the routing science behind CAIRE's hybrid model.