Systems and methods for providing product samples to users in autonomous vehicles, thereby allowing businesses to advertise their products via the rideshare platform. A physical advertising platform is provided leveraging existing rideshare and delivery infrastructure to allow businesses to advertise their products by providing samples in rideshare vehicles and/or with rideshare vehicle deliveries. Consumers have the opportunity to try new products from local businesses that they may otherwise not be exposed to. In some implementations, a rideshare application interface can allow users to see what new local product samples are available. In some examples, a user can select one or more product samples to try.

A controller of an information processing apparatus is configured to select at least one store as a recommended store from among a plurality of stores located in a vicinity of a stopped vehicle based on a road configuration in the vicinity of the vehicle, and notify the vehicle of information regarding the selected recommended store via a communication interface.

Providing a purchase incentive to a mobile device based for example the user's location, predicted route of travel, and prior transactions. A tracking server computer determines a number of locations of a mobile device as it travels along a route and an associated timeframe when it is at each of the locations. The tracking server computer records the locations and associated timeframes in a location log and analyzes the location log to predict a subsequent location and associated timeframe that the mobile device will be at that location. The tracking server computer then determines a merchant proximate to the predicted subsequent location of the mobile device and generates a purchase incentive for use at the merchant and delivers the purchase incentive to the mobile device. In the alternative, the incentive may be generated by a merchant computer or the mobile device.

An online system uses a model to determine affinities of users for geographical locations. Using the affinities, which may indicate travel-related preferences of the users, the online system may customize content items to include content captured by client devices of other users of the online system. For example, the online system presents to a particular user a content item including a photo or video of a geographical location captured by a camera of a client device of another user who is connected to the particular user. The model may implement, for example, collaborative filtering or other machine learning techniques to determine commonalities between users' travel affinities. Additionally, the model may determine latent properties or temporal trends of user preferences based on training data including historical actions performed on the online system or social data. The model may also classify different types of geographical locations.

Methods, apparatuses, and computer program products are disclosed for generating an augmented reality interface, for example for provision of promotions. Some example embodiments receive camera data and location data associated with a consumer device; receive map data based on the location data; identify at least a provider location in a field of view based on the map data; determine a number of consumer devices within a proximity radius of the provider location; determine the number of consumer devices satisfies a predetermined number of consumer devices; determine, based on the determining that the number of consumer devices within the proximity radius satisfies the predetermined number of consumer devices, a promotion for the provider location; and cause display of an impression of the promotion in an augmented reality displayed via an interface of the consumer device.

The present disclosure generally relates to techniques for managing augmented reality. Some aspects of the present disclosure include systems and techniques for facilitating setup and creation of augmented reality experiences. One example method generally includes receiving, at a computing device, an indication of a sensor input trigger via an administrative user platform, receiving, at the computing device and via the administrative user platform, a mapping of the sensor input trigger to an AR experience to be displayed at one or more user devices upon detection of the sensor input trigger, and sending, to another computing device, an indication of the sensor input trigger and the mapping of the sensor input trigger to the AR experience.

A method, apparatus, and computer program product are disclosed for generating a promotion in an augmented reality. The method includes . . . to be generated upon approval of claims

A corresponding apparatus and computer program product are also provided

A traffic data analysis method, an electronic device, a vehicle and a storage medium are provided, and relate to the technical field of artificial intelligence, in particular to the fields of large data processing, automatic driving and vehicle networking, and can be applied to AI navigation. The method includes: acquiring a plurality of initial traffic data; determining a category of each of the plurality of initial traffic data; receiving a search instruction from an AI analysis model, wherein the search instruction includes target category information; determining target traffic data corresponding to the target category information from the respective initial traffic data according to categories of the respective initial traffic data; and sending the target traffic data to the AI analysis model so that the AI analysis model performs an AI analysis according to the target traffic data.

A system and method is presented for product substantiation and promotion redemption. A purchased product list is transmitted from a retail store system to a promotion analysis server along with a user identifier. The promotion analysis server identifies promotions available to the user, and then considers whether the benefits under the promotions are still available to the user. Discounts for available promotions related to the purchased product list are calculated and transmitted to the retail store system for deduction from the transactions. An approved product list can be provided that filters the purchased product list before transmittal. The approved product list can include promotions from a plurality of programs.

A computer implemented method for managing charge availability of a charge unit (CU) to obtain charge for a battery of an electric vehicle (EV) is provided. The CU includes a computer for processing at least part of the method and for communicating with a server over a network. The method includes receiving, by the server, status information from the computer of the CU. The method includes sending to the computer of the CU instructions to make a reservation for the CU. The reservation is for a user account that has requested a desire to charge the battery of the electric vehicle of the user at the CU or another CU. The method includes sending, by the server, a confirmation for the reservation to the user account. The confirmation is viewable via a device having access to the server via the user account. The method includes sending, by the server, a data regarding a time of availability of the CU to the user account for the reservation. The computer of the CU is configured to display a visual indicator regarding the reservation of the CU.