Disclosed are one or more embodiments for a unique and personalized experience for a user interacting with an electronic commerce site by identifying user-preferred item attributes using supervised machine learning and presenting items to the user in an arrangement that is based on the identified item attributes. A shopping mission is determined according to user interactions with an electronic commerce site. The shopping mission is applied to an attribute prediction model that is trained to detect user-preferred item attributes for items included the item category and estimate a likelihood that an item containing a particular attribute will be purchased or interacted with during the interactions with the electronic commerce site.

Embodiments of systems and methods for the aggregation, analysis, display and monetization of pricing data for commodities in general, and which may be particularly useful applied to vehicles are disclosed. Specifically, in certain embodiments, historical transaction data associated with a particular vehicle configuration may be obtained and processed to determine pricing data associated with the vehicle configuration. The historical transaction data or determined pricing data may then be presented in an intuitive manner.

Systems, methods, computer-readable media, and apparatuses for identifying and executing one or more interactive condition evaluation tests to generate an output are provided. In some examples, user information may be received by a system and one or more interactive condition evaluation tests may be identified. An instruction may be transmitted to a computing device of a user and executed on the computing device to enable functionality of one or more sensors that may be used in the identified tests. A user interface may be generated including instructions for executing the identified tests. Upon initiating a test, data may be collected from one or more sensors in the computing device. The data collected may be transmitted to the system and may be processed using one or more machine learning datasets to generate an output.

A cloud-based system for use by retail store employees or customers at any location to facilitate the sale of automotive tires to consumers is provided. The system accesses multiple independent tire inventory systems from different distributors/manufacturers and provides a personalized set of recommendation tire options and accompanying TPMS service packs.

A method of selecting a plurality of components as a kit of parts that traverse an incline, the method comprising: acquiring measurement information indicative of one or more physical dimensions of the incline S1202; generating a model of the incline in accordance with the measurement information S1204; confirming the model by overlaying the model upon the incline S1206; and selecting, on the basis of the model, a plurality of components, from a predetermined set of components, as a kit of parts for traversing the incline S1208.

A method for providing brand information according to example embodiments may include receiving the search term from a user of a service, when the search term is associated with a first brand, identifying a list of related brands associated with the first brand, providing a first page including a first area displaying a first item list corresponding to the search term and a second area displaying the list of related brands associated with the first brand, and in response to an input for a second brand included in the list of related brands, providing a second page including a third area displaying a second item list of the second brand.

According to the present disclosure, there is disclosed a method of providing search information using an electronic apparatus, which includes: checking information on a product group corresponding to a keyword acquired from a user; checking color information on one or more products included in the product group; and providing a search result page corresponding to the keyword, the search result page including at least some of one or more color chips corresponding to the information on the product group and the color information on the one or more products.

An information processing device stores vehicle information on each of a plurality of vehicles, and the information processing device includes one or more processors configured to: acquire an attribute of a user who browses the vehicle information; and change a display content that is the vehicle information displayed on a terminal device based on the attribute.

An information processing apparatus accepts an inquiry about rental of a power feed mat that can supply electric power to a movable body. In the information processing apparatus, association information in which category information is associated with identification information of each of a plurality of power feed mats is stored. The category information indicates to which of a plurality of categories set for characteristics at least one characteristic of the power feed mat belongs. The information processing apparatus specifies at least one power feed mat among the plurality of power feed mats based on the accepted inquiry and the association information. The information processing apparatus provides information based on a result of specifying.

Methods and systems are disclosed for providing a vehicle suggestion to a user based on image analysis. The method may include: receiving one or more vehicle images via website data associated with the user; identifying one or more first-level traits from the one or more vehicle images; obtaining one or more vehicle identifications from the one or more vehicle images based on the one or more first-level traits; determining a value of each of the one or more first-level traits and/or the one or more vehicle identifications via one or more algorithms; determining the vehicle suggestion based on the value of each of the one or more first-level traits and/or the one or more vehicle identifications; and transmitting, to a device associated with the user, a notification indicating the vehicle suggestion.