Patent ID: 11915290
Assignee: CAPITAL ONE SERVICES, LLC
Field: IT methods for management (Electrical engineering)
Classification: CPC G | IPC G

Claim 19:
20. A system for regulating vehicle stock, the system comprising:
a memory having processor-readable instructions stored therein; and
at least one processor configured to access the memory and execute the processor-readable instructions, which when executed by the at least one processor configures the at least one processor to perform a plurality of functions, including functions for:
receiving, via a graphical user interface associated with a user, a query indicative of one or more characteristics of one or more purchasable vehicles at a location of a merchant;
receiving queries data including one or more queries indicative of one or more characteristics of the one or more purchasable vehicles received from additional users;
receiving from a merchant database transaction data including a quantity of the one or more purchasable vehicles that were purchased or attempted to be purchased by the additional users, wherein the transaction data is obtained from a database of an issuer, wherein the issuer is a financial service entity;
assigning, using at least one trained machine learning model, a desirability value to each of the one or more purchasable vehicles based on the at least one trained machine learning model learning relationships between the transaction data, the queries data, and the one or more characteristics of the one or more purchasable vehicles;
determining an availability at the location of the merchant for each of the one or more purchasable vehicles assigned a desirability value;
assigning a likelihood value for each of the one or more available vehicles assigned a desirability value, wherein the likelihood value is a likelihood that the user purchases each of the one or more available vehicles assigned a desirability value and is based on one or more of a user preference set by the user or a user financial status and the desirability value in comparison to a threshold desirability value, the threshold desirability value determined by the issuer or the user;
transmitting to the user, for display via the graphical user interface, a recommendation to purchase an available vehicle assigned a highest likelihood value and a desirability value below the threshold desirability value;
receiving additional transaction data from a purchaser info database, the additional transaction data including whether the user purchased or failed to purchase the recommended available vehicle; and
transmitting to the user, by the one or more processors, a second recommendation to purchase a second available vehicle, the second recommendation dynamically determined based on the at least one trained machine learning model assigning an updated desirability value for the second recommendation based on the additional transaction data.