Truecar, Inc.

Isaac Lemon Laughlin

Michael D Swinson

Xingchu Liu

Mikhail Semeniuk

Meghashyam Grama Ramanuja

Thomas J Sullivan

Jason McBride

Tyson Fritz Nassauer

To increase the efficiency of a used vehicle data processing process while still tailoring to an individual user's unique specifications on a used vehicle, at least some pre-calculations are performed by a backend process before a request for data for a specified vehicle is received through a web site or a web server on the Internet. A user can be presented with an interface where the user can make a variety of determinations. After the user requests data on a specific vehicle configuration, a frontend process handles user-provided data in conjunction with the data calculated in the backend process to ensure that the results are better tailored to the user's specific vehicle attributes. The results can include pricing data such as a trade-in price, a list price, an expected sale price or range of sale prices, market low sale price, market average sale price, market high sale price, etc.

System and method for analysis and presentation of used vehicle pricing data

Endogenous and exogenous variables associated with an item for sale by an affiliate may be displayed to a user of an affiliate decision-making tool. In response to the user selecting one of the endogenous variables, the affiliate decision-making tool may compute a number of introductions, a number of leads, and a number of sales for each of a plurality of possible values of the endogenous variable. The computation may be done utilizing a display position algorithm. A visualization of effects of setting the endogenous variable at different levels may be presented. The user may interact with the display position algorithm to vary one or more of the plurality of possible values of the endogenous variable such that the affiliate is eligible or disqualified to be displayed by an intermediary in response to a search for the item by a visitor of a network site owned and operated by the intermediary.

System, method and computer program for varying affiliate position displayed by intermediary

Systems, methods and computer program products that determine wholesale prices for durable goods such as used vehicles. In one embodiment, a system includes a computer processor, a network interface, a data storage device, and an output device. The system collects and stores, via the network interface, historical sales information from external data sources. A retail price for a target vehicle is determined based on the collected information. Condition information for the vehicle is collected and used to adjust the retail price to arrive at a wholesale price, which is output to a user. The system may also adjust the price based on repair costs associated with identified vehicle conditions. The system may collect cost information associated with a wholesale sale transaction and deduct these costs and a profit margin from the wholesale price to produce a trade-in price.

Wholesale/trade-in pricing system, method and computer program product therefor

Systems and methods for the aggregation, analysis, and display of data for used vehicles are disclosed. Historical transaction data for used vehicles may be obtained and processed to determine pricing data, where this determined pricing data may be associated with a particular configuration of a vehicle. The user can then be presented with an interface pertinent to the vehicle configuration utilizing the aggregated data set or the associated determined data where the user can make a variety of determinations. This interface may, for example, be configured to present the historical transaction data visually, with the pricing data such as a trade-in price, a list price, an expected sale price or range of sale prices, market low sale price, market average sale price, market high sale price, etc. presented relative to the historical transaction data.

In embodiments disclosed herein, a computer may operate to determine, for each member in a set and each non-member under consideration for the set, an expected revenue to be passed to a parent organization. The expected revenue may be determined utilizing a plurality of weighted features. Members in the set may be ranked according to their expected revenues. Top performing members in the set may be protected to ensure their expected revenues. Bottom performing members may be removed from the set and/or replaced with new members outside of geographical protective areas of the top performing members. The optimization process can be repeated until the set of members can satisfy an existing demand while maximizing revenue for the parent organization.

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Los Angeles, CA, United States of America

Isaac Lemon Laughlin