ProfiLLM: Utility-Aligned Agentic User Profiling for Industrial Ride-Hailing Dispatch

ProfiLLM introduces an agentic LLM pipeline that extracts behavioral signals from ride-hailing logs to generate user profiles. It achieves up to +6.14% relative AUC improvement and up to +4.35% GMV gain in dispatching simulations, with consistent online A/B test results showing +0.47% GMV, +0.33% Completion Rate, and -0.82% Cancel-Before-Accept rate improvements.