Abstract: Disclosed embodiments provide systems and techniques for mass execution of analytical models across multiple dimensions of client, collateral, deal structure, third party, and other data relevant to predicting optimal decisions in real-time. In some embodiments, disclosed systems and techniques increase decisioning speed through the reduction of computational loads on disclosed decisioning systems. Further disclosed systems and techniques may scale-out analytical modeling computations through, among other technological solutions, advanced execution environments that are asynchronous and non-blocking in nature so as to allow the execution of a plurality of analytical models in parallel and optimizing the results.

Abstract: This disclosure relates generally to systems and methods for providing personalized financing information and, more particularly, systems and methods for providing personalized financing information via a dealership website using an API associated with a financial service provider. In one embodiment, a system includes memory hardware storing instructions that configure processing hardware to receive a loan request for a buyer via a real-time API that includes at least buyer identification and financial information and information associated at least one inventory item presented on a dealership website. The system may also determine financing information comprising prospective financing terms for the at least one item based on at least the loan request. The server may also provide, to the dealership server via the real-time API, the determined financing information for presentation on the dealership website, including prospective financing terms information corresponding to each of the at least one item.

Abstract: Methods and systems are disclosed for providing approved financing in advance of a purchase to a buyer of an item, such as an automobile, and allowing the prospective buyer to maintain control over the financing throughout the sales process. According to disclosed embodiments, a financial service system configures a financing website for the buyer, and receives personal information as well as information relating to the desired item. The financial service system approves loan parameters for the buyer, and provides the user with a link to access the financing website on a mobile device while at a dealership. Financing parameters can thus be edited throughout the process until the final sales agreement, providing the buyer with confidence and flexibility in the buying process.

Abstract: Disclosed embodiments provide systems and techniques for mass execution of analytical models across multiple dimensions of client, collateral, deal structure, third party, and other data relevant to predicting optimal decisions in real-time. In some embodiments, disclosed systems and techniques increase decisioning speed through the reduction of computational loads on disclosed decisioning systems. Further disclosed systems and techniques may scale-out analytical modeling computations through, among other technological solutions, advanced execution environments that are asynchronous and non-blocking in nature so as to allow the execution of a plurality of analytical models in parallel and optimizing the results.

Abstract: This disclosure relates generally to systems and methods for providing personalized financing information and, more particularly, systems and methods for providing personalized financing information via a dealership website using an API associated with a financial service provider. In one embodiment, a system includes memory hardware storing instructions that configure processing hardware to receive a loan request for a buyer via a real-time API that includes at least buyer identification and financial information and information associated at least one inventory item presented on a dealership website. The system may also determine financing information comprising prospective financing terms for the at least one item based on at least the loan request. The server may also provide, to the dealership server via the real-time API, the determined financing information for presentation on the dealership website, including prospective financing terms information corresponding to each of the at least one item.

Abstract: This disclosure relates generally to systems and methods for providing personalized financing information and, more particularly, systems and methods for providing personalized financing information via a dealership website using an API associated with a financial service provider. In one embodiment, a system includes memory hardware storing instructions that configure processing hardware to receive a loan request for a buyer via a real-time API that includes at least buyer identification and financial information and information associated at least one inventory item presented on a dealership website. The system may also determine financing information comprising prospective financing terms for the at least one item based on at least the loan request. The server may also provide, to the dealership server via the real-time API, the determined financing information for presentation on the dealership website, including prospective financing terms information corresponding to each of the at least one item.

Abstract: Methods and systems are disclosed for providing approved financing in advance of a purchase to a buyer of an item, such as an automobile, and allowing the prospective buyer to maintain control over the financing throughout the sales process. According to disclosed embodiments, a financial service system configures a financing website for the buyer, and receives personal information as well as information relating to the desired item. The financial service system approves loan parameters for the buyer, and provides the user with a link to access the financing website on a mobile device while at a dealership. Financing parameters can thus be edited throughout the process until the final sales agreement, providing the buyer with confidence and flexibility in the buying process.

Abstract: Disclosed embodiments provide systems and techniques for mass execution of analytical models across multiple dimensions of client, collateral, deal structure, third party, and other data relevant to predicting optimal decisions in real-time. In some embodiments, disclosed systems and techniques increase decisioning speed through the reduction of computational loads on disclosed decisioning systems. Further disclosed systems and techniques may scale-out analytical modeling computations through, among other technological solutions, advanced execution environments that are asynchronous and non-blocking in nature so as to allow the execution of a plurality of analytical models in parallel and optimizing the results.

Abstract: Disclosed embodiments provide systems and techniques for mass execution of analytical models across multiple dimensions of client, collateral, deal structure, third party, and other data relevant to predicting optimal decisions in real-time. In some embodiments, disclosed systems and techniques increase decisioning speed through the reduction of computational loads on disclosed decisioning systems. Further disclosed systems and techniques may scale-out analytical modeling computations through, among other technological solutions, advanced execution environments that are asynchronous and non-blocking in nature so as to allow the execution of a plurality of analytical models in parallel and optimizing the results.

Abstract: This disclosure relates generally to systems and methods for providing personalized financing information and, more particularly, systems and methods for providing personalized financing information via a dealership website using an API associated with a financial service provider. In one embodiment, a system includes memory hardware storing instructions that configure processing hardware to receive a loan request for a buyer via a real-time API that includes at least buyer identification and financial information and information associated at least one inventory item presented on a dealership website. The system may also determine financing information comprising prospective financing terms for the at least one item based on at least the loan request. The server may also provide, to the dealership server via the real-time API, the determined financing information for presentation on the dealership website, including prospective financing terms information corresponding to each of the at least one item.

Abstract: This disclosure relates generally to systems and methods for providing personalized financing information and, more particularly, systems and methods for providing personalized financing information via a dealership website using an API associated with a financial service provider. In one embodiment, a system includes memory hardware storing instructions that configure processing hardware to receive a loan request for a buyer via a real-time API that includes at least buyer identification and financial information and information associated at least one inventory item presented on a dealership website. The system may also determine financing information comprising prospective financing terms for the at least one item based on at least the loan request. The server may also provide, to the dealership server via the real-time API, the determined financing information for presentation on the dealership website, including prospective financing terms information corresponding to each of the at least one item.

Abstract: This disclosure relates generally to systems and methods for providing personalized financing information and, more particularly, systems and methods for providing personalized financing information via a dealership website using an API associated with a financial service provider. In one embodiment, a system includes memory hardware storing instructions that configure processing hardware to receive a loan request for a buyer via a real-time API that includes at least buyer identification and financial information and information associated at least one inventory item presented on a dealership website. The system may also determine financing information comprising prospective financing terms for the at least one item based on at least the loan request. The server may also provide, to the dealership server via the real-time API, the determined financing information for presentation on the dealership website, including prospective financing terms information corresponding to each of the at least one item.

Abstract: Methods and systems are disclosed for providing approved financing in advance of a purchase to a buyer of an item, such as an automobile, and allowing the prospective buyer to maintain control over the financing throughout the sales process. According to disclosed embodiments, a financial service system configures a financing website for the buyer, and receives personal information as well as information relating to the desired item. The financial service system approves loan parameters for the buyer, and provides the user with a link to access the financing website on a mobile device while at a dealership. Financing parameters can thus be edited throughout the process until the final sales agreement, providing the buyer with confidence and flexibility in the buying process.

Abstract: Methods and systems are disclosed for providing approved financing in advance of a purchase to a buyer of an item, such as an automobile, and allowing the prospective buyer to maintain control over the financing throughout the sales process. According to disclosed embodiments, a financial service system configures a financing website for the buyer, and receives personal information as well as information relating to the desired item. The financial service system approves loan parameters for the buyer, and provides the user with a link to access the financing website on a mobile device while at a dealership. Financing parameters can thus be edited throughout the process until the final sales agreement, providing the buyer with confidence and flexibility in the buying process.

Abstract: Disclosed embodiments provide systems and techniques for mass execution of analytical models across multiple dimensions of client, collateral, deal structure, third party, and other data relevant to predicting optimal decisions in real-time. In some embodiments, disclosed systems and techniques increase decisioning speed through the reduction of computational loads on disclosed decisioning systems. Further disclosed systems and techniques may scale-out analytical modeling computations through, among other technological solutions, advanced execution environments that are asynchronous and non-blocking in nature so as to allow the execution of a plurality of analytical models in parallel and optimizing the results.

Abstract: Disclosed embodiments provide systems and techniques for mass execution of analytical models across multiple dimensions of client, collateral, deal structure, third party, and other data relevant to predicting optimal decisions in real-time. In some embodiments, disclosed systems and techniques increase decisioning speed through the reduction of computational loads on disclosed decisioning systems. Further disclosed systems and techniques may scale-out analytical modeling computations through, among other technological solutions, advanced execution environments that are asynchronous and non-blocking in nature so as to allow the execution of a plurality of analytical models in parallel and optimizing the results.

Abstract: Disclosed embodiments provide systems and techniques for mass execution of analytical models across multiple dimensions of client, collateral, deal structure, third party, and other data relevant to predicting optimal decisions in real-time. In some embodiments, disclosed systems and techniques increase decisioning speed through the reduction of computational loads on disclosed decisioning systems. Further disclosed systems and techniques may scale-out analytical modeling computations through, among other technological solutions, advanced execution environments that are asynchronous and non-blocking in nature so as to allow the execution of a plurality of analytical models in parallel and optimizing the results.

Abstract: Disclosed embodiments provide systems and techniques for mass execution of analytical models across multiple dimensions of client, collateral, deal structure, third party, and other data relevant to predicting optimal decisions in real-time. In some embodiments, disclosed systems and techniques increase decisioning speed through the reduction of computational loads on disclosed decisioning systems. Further disclosed systems and techniques may scale-out analytical modeling computations through, among other technological solutions, advanced execution environments that are asynchronous and non-blocking in nature so as to allow the execution of a plurality of analytical models in parallel and optimizing the results.

Abstract: This disclosure relates generally to systems and methods for providing personalized financing information and, more particularly, systems and methods for providing personalized financing information via a dealership website using an API associated with a financial service provider. In one embodiment, a system includes memory hardware storing instructions that configure processing hardware to receive a loan request for a buyer via a real-time API that includes at least buyer identification and financial information and information associated at least one inventory item presented on a dealership website. The system may also determine financing information comprising prospective financing terms for the at least one item based on at least the loan request. The server may also provide, to the dealership server via the real-time API, the determined financing information for presentation on the dealership website, including prospective financing terms information corresponding to each of the at least one item.

Abstract: Disclosed embodiments provide systems and techniques for mass execution of analytical models across multiple dimensions of client, collateral, deal structure, third party, and other data relevant to predicting optimal decisions in real-time. In some embodiments, disclosed systems and techniques increase decisioning speed through the reduction of computational loads on disclosed decisioning systems. Further disclosed systems and techniques may scale-out analytical modeling computations through, among other technological solutions, advanced execution environments that are asynchronous and non-blocking in nature so as to allow the execution of a plurality of analytical models in parallel and optimizing the results.