Table Trac Inc. (TBTC) has received patent-pending status from the U.S. Patent and Trademark Office for its proprietary AI-driven Table Games Manager / Manager Trainer. The system leverages machine learning trained on decades of table games transactional data and pit player data to create distinct player personas designed to challenge both human pit managers and artificial intelligence systems.
The solution is delivered through a realistic gaming floor simulation environment, allowing the generation of a simulated gaming floor to be configured. Each training session utilizes a randomized mix of the player personas, creating a continually changing set of scenarios that never repeat. This approach enables trainees to compete head-to-head against the AI, optimize floor decisions to improve yield, and better understand the factors driving each decision.
While initially developed for table games management and training, the underlying artificial intelligence, simulation, and decision support framework has broader applicability across the CasinoTrac platform. Management is exploring additional use cases for this technology across the Company’s suite of casino management solutions, reinforcing CasinoTrac’s long-term product roadmap and innovation strategy.
