A method and system for assisting customers in determining a best retail store location, reaching the location and obtaining assistance from a retail store associate at the location is disclosed. The method employs mobile communication device hardware, software and communication network infrastructure as well as near-field transmitters and receivers to achieve beacon orientation and location functionality.

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 mobile application is provided that provides intelligent recommendations based on the knowledge of where the user has been, and what venues the user would like to visit. Further, such an application may be capable of determining where people in a user's social network have been and what venue locations these related users would like to visit. Also, in another implementation, the application may be capable of determining where people with similar taste have been, and where they would like to go. Some or all of this information may be used by a mobile application that provides recommendations to a user. For instance, in one implementation, a user having a mobile device such as a cell phone wishes to locate a venue based on one or more parameters, and some or all of this information may be used to order to rank recommendations with the interface.

Systems and methods relate to display of insights, including a method including: causing a user display to display a graphical user interface (GUI) that enables a user to select a time range and a single digital display as a locale; and causing, based on the user selecting the time range and the single digital display as the locale, the user display to display, on the GUI, a list of a plurality of media content that have been displayed on the single digital display, each of the plurality of media content being ordered according to analysis insight for the single digital display selected and the time range selected. The analysis insight may include at least impression counts that are counts of views by people of the plurality of media content on one or more digital displays associated with the locale.

Techniques for providing remote messages to mobile devices based on image data and other sensor data are discussed herein. Some embodiments may include one or more servers configured to: receive, from a consumer device via a network, location data indicating a consumer device location of a consumer device; receive, from the consumer device via the network, image data captured by a camera of the consumer device; receive, from the consumer device via the network, orientation data defining an orientation of the camera when the image data was captured, wherein the orientation data is captured by an accelerometer of the consumer device; attempt to extract a merchant identifier from the image based on programmatically processing the image data; determine one or more merchants based on a fuzzy search of available ones of the location data, the merchant identifier, and the orientation data.

In some examples, augmented reality and mobile technology based services procurement and distribution may include ascertaining an attribute and a location associated with a user. Augmented reality and mobile technology based services procurement and distribution may include generating, based on the ascertained attribute and location, a plurality of offers for services on a map display or an augmented reality display, and generating, based on selection of an offer, a display of the selected offer that includes a QR code, a barcode, and/or a Near Field Communication code. Augmented reality and mobile technology based services procurement and distribution may include analyzing, based on redeeming of the selected offer, the attribute associated with user relative to attributes of other users, and modifying the generation, based on the analysis of the attribute associated with user relative to attributes of other users and the location, of the plurality of offers for the services.

An event detection (ED) computing device is provided. The ED computing device includes a processor in communication with a memory. The processor is configured to receive real time data from a real time data source, including location data and transaction data, and calculate a first data derivative based at least in part on the received location data and transaction data. The ED computing device is also configured to identify an event associated with the first location based at least in part on the received location data and transaction data and store an identified event data structure in a database. The ED computing device is configured to retrieve notification rules associated with a first stakeholder, compare the a data derivative to the notification rules, and transmit a notification to the first stakeholder based at least in part on the comparison.

A network of collection, charging and distribution machines collect, charge and distribute portable electrical energy storage devices. To charge, the machines employ electrical current from an external source. As demand at individual collection, charging and distribution machines increases or decreases relative to other collection, charging and distribution machines, a distribution management system initiates redistribution of portable electrical energy storage devices from one collection, charging and distribution machine to another collection, charging and distribution machine in an expeditious manner. Also, redeemable incentives are offered to users to return or exchange their portable electrical energy storage devices at selected collection, charging and distribution machines within the network to effect the redistribution.

Systems and methods for using wireless beacons in point of purchase (“POP”) displays to facilitate the delivery of consumer oriented content to mobile devices is disclosed herein. Wireless beacons may be used to broadcast wireless signals from POP displays, where the wireless signals include data packets with unique identifiers for the wireless beacons. A wireless signal from a POP display may be received by a mobile device. The mobile device may provide the unique identifier in the wireless signal and a retail location of the mobile device to a remote server. The retail location of the mobile device may he provided by a mobile application (e.g., a retailer app) on the mobile device. The remote server may determine the retail location of the POP display by associating the retail location of the mobile device with the wireless beacon.

Aspects of the technology evaluate whether a response to a client device search query results in the client device traveling to a location associated with the response (FIG. 1). One or more wireless stations are selected based on the location associated with the search query (604, 606). Wireless station identifiers are sent, along with the search results, to the client device (504, 610). The client device compares the received identifiers against the identifiers of one or more observed wireless stations with which the mobile device is in communication or are otherwise visible (508). Log information is generated by the client device as a result of the comparison (510). The log information is transmitted to the network without user ID or other client-identifiable information included in the log (512). The received log information is then used to accurately evaluate conversions and evaluate search quality, which enhances the user experience and provides for a more efficient search result process (612, 614).