Embodiments of the present invention disclose a method, computer program product, and system for generating a schedule for promotions using promotional windows. A set of product data associated with a plurality of products is received. Promotion data is received, and a plurality of intensity scores are calculated for the associated promotional data. A set of target product data associated with a target product is determined. A set of target promotional attributes is determined and a plurality of promotion windows are generated for display. A confidence value is determined for each generated promotion window of the plurality of promotion windows. An order list is generated for display. In response to receiving a second set of promotion data, the determined confidence value is modified for each generated promotion window of the plurality of promotion windows.

Methods, systems, and apparatus, for defining and monitoring an event for a physical entity and the performance of an action in response to the occurrence of the event. A method includes receiving data indicating an event for a physical entity, the event specified in part by a physical environment feature for which the occurrence of the event is to be monitored by the data processing apparatus; receiving data indicating an action associated with the event and to be taken in response to the occurrence of the event; monitoring for the occurrence of the event for the physical entity; and in response to the occurrence of the event, causing the action associated with the event to be performed.

A computing apparatus is configured to formulate and adjust offers to users of mobile devices that are configured to capture identification information of products, such as UPC codes. The transaction data of the user, the activities of the user capturing the identification information of products, the location of the user, and the user's reactions to the offers are used to incrementally adjust the offers according to offer rules specified by the merchants. The mobile devices can be used to initiate a checkout process for purchasing items identified by the captured identification information of the products from the physical retail store at which the user is currently located, or via an online store associated with an offer presented via the mobile device.

Systems and methods for electric vehicle (EV) charging and graphic user interface for consumers, including consumer profiles and EV point of sale terminal profiles. Novel methods for consumer guidance and controls are provided coupled with graphic user interfaces for mobile applications, websites, and electric vehicle point of sale terminals.

A retail vendor application installed on a user device receives configuration parameters for a user interface button that can be used by a user of the device to purchase an item available for consumption. The application determines, based at least in part on the configuration parameters, an activity trigger that, if detected, causes the application to present the button to the user. The application monitors sensors and applications on the user device to obtain data that can be used to detect the activity trigger. In response to detection of the activity trigger, the application updates an interface of the user device to present the button. If the user selects the button, the application generates a purchase request for the item that is sent to a retail vendor service for processing.

The present disclosure relates to a voice assistant that may provide a generalized recommendation based on a natural flow of a conversation and thereafter, generate specific advertisements if there is interest in the generalized recommendation. In an illustrative embodiment, the voice assistant operating on a vehicle computing system may interact with a driver or operator of the vehicle to both respond to and anticipate the user's needs. The voice assistant may identify potential advertisements based on communications with the driver or occupant. The generalized recommendation related to the potential advertisements may be provided to the driver or occupant. If there is interest, the voice assistant may provide an advertisement within the potential advertisements. Real-time information from a location of the advertisement may also be provided that typify the feeling of the location to further draw interest to the advertisement.

Systems, device and techniques are disclosed for dynamically retrieving and monitoring geo-fence activity. A meta geo-fence may be identified based on a user device geolocation. The meta geo-fence having a radius that is dynamically generated to include previously defined geo-fences within or touching the meta geo-fence. User device geolocation may be monitored in relation to the defined geo-fences included in the radius of the meta geo-fence. A communication may be sent to the user device when the user device reports that the user device has entered or exited one of the previously defined geo-fences within or touching the radius of the meta geo-fence.

Methods and apparatus to associate transactions with media impressions are disclosed. An example method includes transmitting a request for commercial transaction information to a database proprietor, the request including an identifier corresponding to a media impression associated with media presented via a computing device; receiving the commercial transaction information in response to the request, the commercial transaction information comprising data associated with a commercial transaction conducted using an account accessed by the computing device; and associating the media impression with the commercial transaction.

Systems and methods for tracking movement of individuals through a building receive, by one or more RF nodes disposed near an entrance to the building, RF signals from RF-transmitting mobile devices carried by persons near the entrance, capture an image of the persons while they are near the entrance, determine an identity and relative distance of each RF-transmitting mobile device from each RF node based on information associated with the RF signals received by that RF node, detect humans in the image, determine a relative depth of each human in the image, and assign the identity of each RF-transmitting mobile device to one of the humans detected in the image based on the relative distance of each RF-transmitting mobile device from each RF node and the relative depth of each human in the image, thereby identifying each individual who to be tracked optically as that individual moves throughout the building.

A product purchase guidance system may include a user device to permit selection of an influencer. A purchase guidance server may include a memory to store personalized influencer media content of a respective suggested product purchase list associated with each of the influencers and retailer store layouts, and a processor coupled to the memory to determine an identity of the selected influencer from the user device and determine a geographic location of the user device. The processor may also determine a corresponding retailer store layout based upon the geographic location and determine an in-store position of the user device. The processor may also communicate the personalized influencer media content corresponding to the selected influencer and for a given suggested product based upon the determined retailer store layout and in-store position so that the user device outputs the personalized media content for the given suggested product.