Abstract: Systems and methods for guided vehicle matching are disclosed. In order to generate vehicle recommendations for a user of an electronic vehicle listing service, a plurality of vehicle-related lifestyle options are presented to the user, and a user selection received. Additional data regarding the user's vehicle preferences, requirements, or usage may be obtained. Based upon such information, a set of example vehicles is generated and presented to the user. Each example vehicle has characteristics representing a plurality of other vehicles. Based upon user ratings or selections of at least some of the example vehicles, a plurality of vehicle recommendations for specific available vehicles are generated and presented to the user. In some embodiments, further user interaction with such recommendations is used to refine the vehicle recommendations and identify additional vehicle recommendations.

Abstract: Systems and methods for guided vehicle matching are disclosed. In order to generate vehicle recommendations for a user of an electronic vehicle listing service, a plurality of vehicle-related lifestyle options are presented to the user, and a user selection received. Additional data regarding the user's vehicle preferences, requirements, or usage may be obtained. Based upon such information, a set of example vehicles is generated and presented to the user. Each example vehicle has characteristics representing a plurality of other vehicles. Based upon user ratings or selections of at least some of the example vehicles, a plurality of vehicle recommendations for specific available vehicles are generated and presented to the user. In some embodiments, further user interaction with such recommendations is used to refine the vehicle recommendations and identify additional vehicle recommendations.

Abstract: Systems and methods for guided vehicle matching are disclosed. In order to generate vehicle recommendations for a user of an electronic vehicle listing service, a plurality of vehicle-related lifestyle options are presented to the user, and a user selection received. Additional data regarding the user's vehicle preferences, requirements, or usage may be obtained. Based upon such information, a set of example vehicles is generated and presented to the user. Each example vehicle has characteristics representing a plurality of other vehicles. Based upon user ratings or selections of at least some of the example vehicles, a plurality of vehicle recommendations for specific available vehicles are generated and presented to the user. In some embodiments, further user interaction with such recommendations is used to refine the vehicle recommendations and identify additional vehicle recommendations.

Abstract: Disclosed are systems and methods for generating and offering to customers rewards in exchange for the customer's continued presence in a retail environment. An example rewards system may receive, from a detection system, a notification that a computing device associated with the customer is in a retail environment and, in response, transmit an offer to the computing device that offers the customer a reward in exchange for remaining in the retail environment for at least a predetermined amount of time. The rewards system may receive, from the detection system, real-time data indicating a behavior of the customer in the retail environment, and, from a third-party server, non-real-time data associated with the customer. The rewards system may generate the reward based on the real-time data and the non-real-time data. After the predetermined amount of time, the rewards system may transmit the reward to the computing device.

Abstract: Disclosed are systems and methods for generating and offering to customers rewards in exchange for the customer's continued presence in a retail environment. An example rewards system may receive, from a detection system, a notification that a computing device associated with the customer is in a retail environment and, in response, transmit an offer to the computing device that offers the customer a reward in exchange for remaining in the retail environment for at least a predetermined amount of time. The rewards system may receive, from the detection system, real-time data indicating a behavior of the customer in the retail environment, and, from a third-party server, non-real-time data associated with the customer. The rewards system may generate the reward based on the real-time data and the non-real-time data. After the predetermined amount of time, the rewards system may transmit the reward to the computing device.