Truist Bank filed 1 patent application in the AI & Machine Learning category.
The filing covers a system that uses artificial intelligence to predict and prevent player churn in video games by analyzing gameplay data alongside real-world banking and resource information. This approach aims to identify at-risk players and trigger re-engagement strategies based on combined behavioral patterns from both gaming and financial contexts.
The single AI and machine learning patent describes a player retention system that merges two distinct data streams to forecast when gamers might abandon a title. The application trains predictive models by analyzing in-game behavior such as play duration and login frequency, then enriches that analysis with financial transaction records pulled from a connected banking or resource management Platforms. By drawing correlations between spending patterns in the real world and engagement trends within virtual environments, the system aims to detect churn signals earlier than methods relying solely on gameplay metrics. When the model identifies players at risk of leaving, it can automatically trigger targeted re-engagement efforts tailored to their combined behavioral profile.
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