Dynamic Matchmaking Engine vs. Manual Dispatch
Operational coordinators manually reviewed student requests, teacher subject strengths, timezone differences, and calendar slots, creating up to 4-hour booking turnaround times and frequent scheduling conflicts.
Designed a real-time heuristic scoring pipeline evaluating 3-tier weighting (timezone offsets, historical completion ratings, and active instructor workload) resolving matches in under 100ms.
Algorithmic assignment requires continuous calibration of teacher load ceilings to prevent superstar burnout, but reduced match latency by 99%.