Capital One Services, LLC

Mithra Kosur Venuraju

Satish Chikkaveerappa

Amit Ramit Deshpande

Jie Shen

Amit Ramesh Deshpande

Jacob Anderson

Shilpa Mittal

Ben Hoang

Ponnazhakan Subramanian

Liju Mathews

Asutosh Pandya

Sahul Mohammed

An enhanced analytical engine system may perform the steps of providing optimized individual transaction recommendations. The system may receive a request comprising customer financial information, customer identification information, and vehicle identification information. The system may collect information associated with one or more vehicles within an inventory listing associated with one or more dealership systems. The system may then provide data representing information associated with the one or more vehicles within an inventory listing associated with the one or more dealership systems. The system may receive data indicating selection of a vehicle of interest. The system may determine a proposed offer package for the vehicle of interest comprising an associated overall price and at least one from among a warranty option, maintenance option, and service contract option based on the customer preferences information and historical transaction data. The system may provide the determined proposed offer package for presentation to the customer.

Systems and methods for providing an enhanced analytical engine

Embodiments of the present disclosure provide systems, methods, and devices for utilizing an application to alert a user to detected changes to inventory data. Example embodiments relate to a predictive model and development of a predictive model using machine learning techniques. Example embodiments of systems and methods may utilize web-based applications and plug-ins, extensions, or add-ons thereof for facilitating communication and presenting dynamic information to a user.

System, method, and computer-readable medium for navigating vehicle inventory

Systems and methods for providing improved recommendations are disclosed. In some embodiments, the systems and methods may be used for vehicle recommendations. The system may include a server system configured to receive user historical vehicle preferences, user vehicle preferences, generate weighted feature data sets, and apply a similarity model to the generated weighted feature data set in order to determine a vehicle recommendation data set. A visual representation of the vehicle recommendation data set may then be provided to an interface associated with a user.

Systems and methods for providing improved recommendations

A device receives, from a user device, a request to prune a primary database, and receives primary database information associated with the primary database and secondary database information associated with a secondary database that is different than the primary database. The device processes the primary database information and the secondary database information, with a machine learning model, to generate suggested pruning parameters, and provides the suggested pruning parameters to the user device. The device receives selected pruning parameters from the user device, where the selected pruning parameters are selected from the suggested pruning parameters or are input via the user device. The device removes pruned information from the primary database based on the selected pruning parameters, and provides the pruned information to the secondary database based on the selected pruning parameters.

Utilizing machine learning to determine data storage pruning parameters

Systems and methods for navigating vehicle inventory

A computer system for analyzing page tags of a website. The system may include a processor in communication with a database; and a storage medium. The storage medium may store instructions that, when executed, configure the processor to: access the website, the website comprising plurality of page tags; generate a collected tag record by aggregating the page tags, the collected tag record comprising collected elements; request, from the database, a benchmark tag record, the benchmark record comprising benchmark elements, the benchmark tag record being based on historic page tags stored in the database; generate a result tag record, the result tag record indicating at least one of matches or mismatches between the benchmark tag record and the collected tag record; and display at least one of the result tag record or an analysis result, the analysis result representing an aggregation of the result.

Growing community of inventors

Frisco, TX, United States of America

Mithra Kosur Venuraju