Truist Bank holds 2 granted patents across 2 categories: AI & Machine Learning (1) and Game Mechanics (1).
The AI & Machine Learning patent covers a churn prediction system that analyzes gameplay metrics and real-world transaction data from partner applications to identify at-risk players and deliver targeted retention messages linked to multi-session rewards. The Game Mechanics patent describes a pooled reward mechanism where players contribute fractional entries from in-game resources toward a prize event, with winners determined by a third-party random number generator that distributes proportional shares based on entry size.
The AI & Machine Learning patent tackles player retention by combining behavioral data from inside the game with real-world resource information pulled from a partner application. The system watches how long players engage, how often they log in, and how they spend virtual currency, then layers in external transaction patterns to flag users likely to abandon the game. When the model identifies someone at risk, it sends a message offering an incentive that can only be claimed by returning to the game across multiple sessions, turning a prediction into a mechanism that pulls players back.
A single Game Mechanics patent addresses what happens to small amounts of in-game currency that players accumulate but cannot spend. Instead of letting those fragments sit idle or disappear, the system lets users convert partial balances into fractional entries for a pooled prize draw. A third-party server generates the random number that determines outcomes, and if a partial entry wins, the payout scales proportionally rather than awarding the full prize. Players can adjust their entries as their balance changes, giving leftover resources a destination and keeping progress from feeling wasted.
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.