Disclosed are a mobile Internet-based integrated vehicle energy replenishment system and method, and a storage medium. The energy replenishment system comprises a first terminal, a second terminal, an intelligent scheduling unit, and a resource management unit, and is configured for sending a valet energy replenishment request, allocating a corresponding energy replenishment resource, issuing a valet energy replenishment service order, and guiding a valet energy replenishment service, wherein the first terminal comprises an energy replenishment reminding unit, a valet energy replenishment requesting unit, a vehicle authorization setting unit, and an order status displaying unit; the second terminal comprises a service personnel guiding unit, and an authorization activation unit; the intelligent scheduling unit comprises an energy replenishment resource scheduling unit, an energy replenishment type recommendation unit, a parking spot navigation unit, an automatic authorization unit, and an order generation unit; and the resource management unit comprises an energy replenishment resource management unit, and a vehicle management unit. According to the invention, energy replenishment demands of customers are effectively acquired, and thus service personnels and energy replenishment resources are scheduled much effectively; convenient and rapid energy replenishment of vehicles is achieved; and technical support is provided for the valet energy replenishment service.

Techniques for providing a seamless user experience across electronic and physical retail stores of a retailer include storing, locally with a session corresponding to a user's visit to the retailer's electronic store, indications of items that were viewed and/or focused on by the user at the electronic store. At least some of said indications may be transferred to a centralized data storage of the retailer for persistence after the session is terminated. Subsequently, an electronic device operated by the user may determine its location and determine, based on its location, a particular physical retail store of the retailer. Via communications with one or more retailer servers, items that were recently viewed by the user at the electronic store may be identified, and indications thereof may be presented on the display of the electronic device in conjunction with information corresponding to the recently viewed items at the particular physical store.

In some implementations, a client device may determine, using a program associated with an application that executes on the client device, a plurality of item identifiers associated with a plurality of items. The client device may identify, using the program, a combination of entities that provide the plurality of items with a reduced aggregate metric as compared to another entity or other combinations of entities from a plurality of entities. The client device may provide, via the program, a recommendation to initiate a transaction for the plurality of items from the combination of entities. The client device may initiate, via the program, the transaction for the plurality of items from the combination of entities using account information associated with each entity in the combination of entities.

A system for determining customer interest in goods includes one or more memory devices storing instructions and one or more processors configured to execute the instructions. The processors are configured to receive customer location data from a smart device associated with a customer indicating the customer is within a retail venue of a retailer and to monitor, based on the customer location data, a current location of the customer within the retail venue. The processors are further configured to receive goods location data indicating locations of goods for sale within the retail venue and determine that the customer is interested in a particular good for sale within the retail venue based on the current customer location remaining in proximity to the location of the particular good for a predetermined period of time. The processors also conduct a search of pricing of the particular good at one or more other retailers and send a price comparison to the customer.

A listing and locating application is shown and described. The listing and locating application will allow for products to be listed within a listing function. The application will be able to share lists among allowed users. The application will have a GPS system that will allow for the application to display localized maps. The localized maps will display the exact locations of products on the list. The products on the list will be correlated with coupons form the merchant shop. The application further will be enabled to display a direction to locate a specific area or the most direct route through a localized area.

Embodiments herein are directed to a vehicle floating fleet vehicle system for determining a location of a user and one or more car-sharing vehicles. The system includes a server computing device operated by a floating fleet service provider. The server computing device includes at least one processor; a memory communicatively coupled to the at least one processor; and machine readable instructions stored in the memory. The machine readable instructions cause the vehicle floating fleet system to perform at least the following when executed by the at least one processor receive a request for the one or more car-sharing vehicles, determine the one or more car-sharing vehicles in one or more nearby gated parking facilities, send information about the one or more car-sharing vehicles to the user, and receive a selected car-sharing vehicle in a nearby gated parking facility of the one or more nearby gated parking facilities from the user.

A system and method for detecting a pick-up of an item and determining analytics based on the detected pick-up. The method includes receiving data packets from a plurality of Internet of Things (IoT) tags, wherein each of the IoT tags is attached to a product, extracting a frequency word from each of the plurality of IoT tags, analyzing each of the extracted frequency words to detect a pick-up event associated with each IoT tag, and determining analytics related to an interest in the product based on the detected pick-up events.

Systems, methods, apparatuses, and computer-readable media are provided for determining individual item-level details associated with a transaction. A plurality of purchase transactions associated with different merchants may be displayed via a user interface. Responsive to a user selection of a first transaction, of the plurality of transactions, a camera may capture an image of at least a portion of a user receipt associated with the first transaction. The image of the user receipt may be analyzed using one or more optical character recognition (OCR) algorithms to convert the image of the user receipt into textual data. One or more character strings associated with line item-level details may be extracted from the textual data associated with the first transaction. Additional information associated with the line item details may be determined and the line item details and the additional information may be displayed via a user interface.

A goods sensing system includes: a sample collector that collects a plurality of sets of image samples, where each set of the image samples comprise sample images of a type of goods at multiple angles, where a set of the image samples of a same type of goods are provided with a same group identification, and the group identification is the type of the goods corresponding to the set of image samples; a model trainer that trains a convolutional neural network model according to each sample image and a group identification of the sample image to obtain a goods identification model; a real-time image collector that continuously acquires at least one real-time image of space in front of a shelf, each real-time image including part or all of images of goods; and a goods category deriver that obtains a type and quantity of the goods displayed in the real-time.

A computer system for matching users with visual items comprises a user-scoring component configured to receive user data about each of the users, and process the user data so as to assign the user a set of psychological test scores that characterize the user in terms of standardized personality traits of a predefined psychological test. Ann item-scoring component uses visual appearance information of each item to assign the item a corresponding set of psychological test scores indicating expected user visual preference for the item in terms of said standardized personality traits of the psychological test. A matching component matches each user with a set of the items, by matching the user's set of psychological test scores with the corresponding sets of psychological test scores of the items, and provide a matching output indicating, to the user, the set of items with which he or she has been matched.