Gaming Floor Deployment Scoring for Change Impact Ranking
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Solution Overview
Problem
Facilities face challenges in efficiently managing gaming device deployments due to the cumbersome and time-consuming process of assessing the impact of changes on gaming floors, leading to underutilized devices that negatively affect profitability.
Innovation Solution
A change monitoring system that utilizes a data storage device to analyze reference and changed gaming deployment data, processing factors such as contribution benchmarks and cost factors to generate outputs that evaluate the effectiveness of gaming floor changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If facilities manually assess and monitor gaming floor changes, then they can track deployment effectiveness, but the process becomes cumbersome and time-consuming
Solution Approach 1:
The patent replaces manual mechanical assessment processes with an automated electronic system that collects, stores, and analyzes gaming device deployment data. The system automatically compares actual deployment data against target deployment data, eliminating the need for manual tracking and assessment while maintaining high measurement precision through systematic data collection and analysis.
2Productivity
If facilities make frequent changes to gaming device arrangements, then they can optimize profitability, but it becomes difficult to determine and assess the effects of changes
Solution Approach 1:
The patent implements a feedback mechanism where the system continuously collects actual deployment data, compares it against target deployment data, and generates reports showing the effects of changes. This automated feedback loop allows facilities to make frequent changes while systematically assessing their impact, as the system tracks and reports deployment effectiveness over time without increasing operational complexity.
Solution Approach 2:
The patent establishes target deployment data before changes are implemented, creating a baseline for comparison. By pre-defining what successful deployment looks like and setting up the automated tracking system in advance, facilities can easily assess change effects afterward without complex manual analysis, enabling rapid iteration and optimization.
3Adaptability or versatility
If facilities deploy many gaming devices on the floor, then they can increase entertainment options, but unpopular devices decrease overall profitability
Solution Approach 1:
The patent enables the system to automatically monitor and assess deployment effectiveness without continuous human intervention. The automated system identifies underperforming devices through systematic data collection and comparison, allowing facilities to maintain diverse gaming device portfolios while efficiently identifying and addressing profitability issues through self-monitoring capabilities.
Data Source
AI summary
A score-based deployment facilitation system and method are disclosed herein. The score-based deployment facilitation system, in an embodiment, includes one or more data storage devices having a score generator. The one or more data storage devices are programmed to direct one or more processors to access historical deployment data related to a historical deployment of a plurality of gaming units that have been operated in an environment. The one or more data storage devices are also programmed to direct one or more processors to generate a plurality of changes that could potentially be made to the historical deployment data and process a plurality of expected deployment data sets, each of which corresponds to a recommended deployment. With respect to each of the recommended deployments, the one or more data storage devices are also programmed to direct one or more processors to execute the score generator to generate a plurality of different types of subscores related to the recommended deployment. The subscores include a first subscore that depends, at least in part, upon collection information related to the recommended deployment. The subscores also include a second subscore that is independent of the collection information. The one or more data storage devices are also programmed to direct one or more processors to execute the score generator to generate a score based on the first and second subscores. In addition, the one or more data storage devices are programmed to direct one or more processors to generate a graphical interface that is configured to indicate a plurality of the recommended deployments and arrange the indicated recommended deployments according to a ranking that depends on the scores.