Multi-Agent AI System for Pharmaceutical Commercial Forecasting: GPT-5 Orchestration with Specialized Agent Architecture

Agents4Science 2025 Conference Submission345 Authors

Keywords: .

Abstract: We present a multi-agent AI system for pharmaceutical commercial forecasting that has completed Phase 5 real validation, featuring GPT-5 orchestration with four specialized agents processing real-world pharmaceutical data. Following the MASSIVE_OVERHAUL_PLAN methodology, our system implements a complete step pipeline using GPT-5 as orchestrator coordinating specialized agents: DataCollectionAgent (DeepSeek), MarketAnalysisAgent (GPT-5), ForecastAgent (multi-method ensemble), and ReviewAgent (Perplexity). Phase 5 real validation results on actual drug launches demonstrate: (1) Multi-agent system achieving 41.3% MAPE, approaching industry consultant baseline of 40%; (2) Enhanced analog forecasting with TA priors and DTW similarity achieving drug differentiation; (3) Temporal evaluation framework operational with train≤2019/test≥2020 split; (4) Successful validation on major drugs including Keytruda (34.6% peak APE) and Repatha (33.6% peak APE); (5) Comprehensive audit system with timeout/backoff logic and JSON schema validation for production deployment. The system demonstrates significant progress toward consultant-level pharmaceutical forecasting through actual LLM-based validation and systematic parameter optimization.

Submission Number: 345