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Cognitive Slot Management in Mobile-Integrated Gaming Systems: Real-Time Optimization and Predictive Engagement
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 187 - Number 23 |
| Year of Publication: 2025 |
| Authors: Karthick Ramachandran |
10.5120/ijca2025925436
|
Karthick Ramachandran . Cognitive Slot Management in Mobile-Integrated Gaming Systems: Real-Time Optimization and Predictive Engagement. International Journal of Computer Applications. 187, 23 ( Jul 2025), 30-36. DOI=10.5120/ijca2025925436
Abstract
The evolving casino landscape necessitates intelligent management of gaming resources to maximize player satisfaction, operational efficiency, and revenue. This paper introduces a novel Cognitive Slot Management (CSM) system, a core component of a unified casino mobile platform, that leverages advanced AI, real-time analytics, and mobile integration to revolutionize the player's slot experience and optimize casino floor operations. Key features include AI-optimized slot reservation and session management, a live slot analytics dashboard for both players and operators, an intelligent routing system for frictionless navigation, and a comprehensive mobile hub for all player financial and promotional interactions. the authors' system integrates cutting-edge technologies like stream processing [4], machine learning for predictive analytics, and precise geo-fencing to achieve: pre-booked slot sessions with dynamic pricing and priority access; automated machine blocking for proactive maintenance and operational efficiency; real-time visualization of "hot" and "cold" machines with actionable insights; dynamic progressive jackpot alerts directly to the player's device; optimized wayfinding and crowd avoidance using spatial intelligence; seamless, terminal-free digital ticket redemption directly into the player's mobile account; hyper-personalized promotions and event calendars delivered exclusively through the app; and complete, real-time account oversight for all player financial and loyalty data on their phone. A pilot implementation yielded remarkable results, including a 40% increase in machine utilization, a 4.8/5.0 player satisfaction score, 28% growth in ancillary revenue from premium bookings, and a 65% reduction in maintenance downtime.
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