Abstract: Embodiments of systems and methods disclosed herein provide solutions for determining popular configurations in an automated and balanced manner, useful in facilitating consumers in making their purchase decisions on high value items such as vehicles. In particular, in certain embodiments, a user may utilize a vehicle data system to obtain pricing data corresponding to automatically generated vehicle configurations. When the user is presented with the pricing data associated with the automatically generated vehicle configuration the user may additionally be presented with an upfront price offered by a dealer.

Abstract: Embodiments of systems and methods disclosed herein provide solutions for predicting vehicle invoice pricing, trim, and options by starting from scratch (raw data), transforming the raw data into actionable data, and comprehensively exploring all possible option combinations that can match a vehicle's Manufacturer Suggested Retail Price (MSRP). Embodiments implement algorithms that determine the trim of a vehicle and intelligently analyze all possible option combinations that would result in a target MSRP while avoid searching unnecessary vehicle configurations. The algorithms can be used to predict the trim, invoice, and options of a vehicle based on the vehicle's VIN and MSRP.

Abstract: A vehicle data system may receive, via a website, a user query about a vehicle or features of a vehicle that may not actually exist. The vehicle data system can transform a set of features representing a query vehicle associated with the user query into a query vehicle feature vector, compare the query vehicle feature vector with one or more inventory vehicle feature vectors representative of one or more dealer inventory vehicles, determine a similarity score between the query vehicle and the one or more dealer inventory vehicles, and generate at least one recommendation based on the similarity score, for instance, a great match and/or a good match to the vehicle that the user has inquired about. The at least one recommendation can be presented via the website in real time.

Abstract: A vehicle sales matching system may include a vehicle sales lead data database, a vehicle sales information database, and a sales matching system embodied on a non-transitory computer readable medium and communicatively connected to the vehicle sales lead data database and the vehicle sales information database. The vehicle sales lead data may include validated customer data and third party customer data. The vehicle sales information may include sales data from vehicle dealers, third party data extract services, and third party sales data sources. The sales matching system may be configured for applying one or more matching rules for matching a vehicle sales lead from the vehicle sales lead database to a vehicle sale from the vehicle sales information database.

Abstract: 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.

Abstract: 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.

Abstract: 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.