Truist Bank filed 1 patent this quarter in the AI & Machine Learning category.
The patent 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 applies machine learning techniques to identify at-risk players and trigger re-engagement interventions based on combined behavioral patterns from gaming and financial contexts.
The AI & Machine Learning patent describes a player retention system that draws on both video game activity and external financial data to forecast when someone might stop playing. By training predictive models on gameplay patterns like session length and frequency alongside transaction records from a connected banking or resource management application, the system aims to spot disengagement earlier than methods relying solely on in-game metrics. This cross-application approach lets the model factor in real-world resource availability and spending behavior when determining whether a player is likely to churn, enabling timely interventions tailored to each user's combined digital footprint.
All data sourced from USPTO patent filings. Google Patents may take several weeks to index recent publications. If a link is unavailable, search for the patent number at USPTO Patent Public Search.