872results about How to "Improve shopping experience" patented technology

A system and method for crediting fees and commissions for the use by customers of mobile phones to search for product information directly from merchants or indirectly through product information aggregators. Further it provides for crediting fees and commissions for sending product identification to other customer's mobile phones. It supports third party use of the system to distribute specific sets of product instances accessible by users of a private label system.

A system and method that anonymously collects and uses consumer purchase data, including radio frequency metrics, linked to individual characteristics, including demographic and attitudinal profiles of each user, while protecting individual user's identities. Uniquely identifying information about the user is not requested or recorded, keeping individual users anonymous and protected from unrequested solicitations, identity theft, and disclosure of individually identifying information to any third party. This data can then be used for a variety of purposes, including mass marketing, individually targeted marketing, and market research.

A mobile shopping decision agent application is disclosed. A wireless-enabled (e.g., WiFi) device that uses three or more routers to locate the exact position (e.g., aisle number, shelf, etc. in a store) of a user operating the wireless-enabled device to provide the user with assistance in shopping (e.g., comparison, order online, read technical specifications, read customer reviews, etc.) for a product, and allows the user to purchase the product on the spot from the merchant (or another competing merchant) direct from his/her account with a bank online or at the merchant POS/checkout. In addition, application also may use various social networking features (e.g., product recommendations from friends, recommendations from public at large, wish list, etc.) to enhance the customer's shopping experience.

A system for authenticating a purchaser, collecting data of purchasers, and displaying personalized advertisements. The system uses video cameras to capture an initial image of the customer upon entry and/or at the register prior to checkout. The image is then sent via LAN or wireless LAN to a computer with image recognition software. The computer is connected to a credit card reader and to an in-store database where it can then be checked for a matching image. The database will then choose from a pool of advertisements to find one that matches the current customers shopping habits most accurately. The advertisement will then be projected onto a monitor in the customer's field of vision. At checkout, if the customer pays with a credit card, the information on the card will be sent to the computer where it will also be checked for a match in the database. The in-store database is connected with a larger central database which shares all recorded information with all stores.

The invention provides a commodity recommendation method, a commodity recommendation system, a computer device and a computer-readable storage medium. Determining the shopping preference information of the user according to the historical consumption information; obtaining the current location information of the user; obtaining current commodity information corresponding to the current position information according to the current position information; according to the shopping preference information and the current commodity information, the target commodity information is recommended. The commodity recommendation method provided by the invention recommends the commodity to the user through the shopping preference information of the user and the current position information of the user, thereby expanding the range of accurately pushing the commodity to the user, and solving the problem of accurately pushing the commodity only through the purchase information of the online shopping mall of the user.

The present invention is directed to techniques for providing retail customers a seamless, individualized discovery and shopping experience. With an improved shopper/customer accounting system, along with other technologies such as intelligent fixtures, mobile devices, and product simulations, a shopper's product discovery, purchase, and post-sale experience can be highly integrated and personalized. For example, the shopper's out-of-store (online) and in-store product discovery sessions may be seamlessly linked and analyzed to provide the shopper with customized recommendations and assistance. Other variations and enhancements are disclosed.

A business method utilizes a dedicated electronic shopping network having a database and wireless receiving and transmitting components. The network is provided at a retail-type architectural facility where space is rented to a plurality of independent retail entities. For each respective one retail entity, data pertaining to goods offered for sale by the respective one entity is loaded the database. Queries from hand-held electronic personal shopping devices pertaining to goods offered for sale by the retail entities are received via the wireless receiving components. The wireless transmitting components transmit, to the hand-held electronic personal shopping devices, data from the database responsive to respective queries.

The invention relates to an augmented reality vending machine and a control method. By combining a mobile terminal with augmented reality technology, a method for rapidly searching the vending machine and remotely purchasing goods can be implemented. The augmented reality vending machine at least comprises a vending machine body, a wireless communication network, a background data center and a mobile intelligent terminal. A user performs remote operation through the mobile intelligent terminal to select the names and the number of goods to be purchased, the names and the number of the goods to be purchased and pay success information are transmitted to the background data center through the wireless communication network after electronic payment, the received information is computed by the data center and then fed back to the vending machine body through the wireless communication network, and the user can take away the purchased goods after the vending machine body delivers the goods according to the received information.

The invention discloses an intelligent sales terminal with an online shopping function, a sales system and a method. Disclosed by the invention is an intelligent safe sales terminal, a sales system and an implementation method which are based on network technologies, not only can carry out shopping on a local sales terminal, but also can order goods through the network. The intelligent sales terminal comprises a microprocessor, a man-machine interface module, a storage device, a network communication interface and a local communication interface, wherein the man-machine interface module, the storage device, the network communication interface and the local communication interface are connected with the microprocessor; and the man-machine interface module comprises a display screen and a device used for data input. The sales system comprises the intelligent sales terminal and a remote shopping website. The sales system also can comprise an automatic replenishment system and a remote server. The intelligent sales terminal with the online shopping function, the sales system and the method are easy to implement and can provide great convenience for shopping of customers.

The invention provides a replenishment method and apparatus. With the replenishment method and apparatus adopted, replenishment tasks can be generated fast and efficiently, the accuracy of replenishment can be improved to a certain extent, and problems of messy stacking of goods in a warehouse, manpower waste and order backlog can be solved, and delivery speed of orders can be improved to a certain extent, and shopping experience of users can be ultimately enhanced. The replenishment method of the invention comprises the following steps that: daily sale quantity, safety inventory days and maximum inventory days of commodities are saved; safety inventory quantity and maximum inventory quantity of the commodities are calculated according to the daily sale quantity of the commodities, wherein the safety inventory quantity=daily sale quantity*safety inventory days, and the maximum inventory quantity=daily sale quantity*maximum inventory days; and replenishment quantity is determined and outputted under the situation that the current inventory quantity of the commodities has not achieved the safety inventory quantity, and so that the inventory quantity of the commodities can be between the safety inventory quantity and the maximum inventory quantity.

The invention discloses a shopping navigation method, a server for shopping navigation and a client terminal. The Shopping navigation method comprises steps of receiving uploaded shopping information, wherein the shopping information comprises user identifier information, a shopping list and supermarket identifier information, obtaining supermarket map information corresponding to the market identifier information according to the supermarket identifier information, generating optimal shopping route information according to the supermarket map information and the shopping lists, wherein the optimal shopping route comprises the area where the goods on the shopping list are positioned, and transmitting the generated optimal shopping route information to the appointed client terminal for shopping navigation. The invention can obtain the particular position of the good and the shopping route information in a direct way, saves the shopping time and improves the user shopping experience.

The invention relates to a commodity property clustering method based on user comments, and belongs to the field of data mining. The method comprises the following steps: combining user comments information and commodity property information; calculating the feedback rates of the properties of commodities with similar characteristics according to the user comments; calculating the similarity of the commodities by taking the feedback rate as a weight; re-sequencing the commodities; returning needed commodities comprising real information to a user. By adopting the commodity property clustering method, commodities with most real good comments can be directly screened in concerned commodity properties of the user, so that the commodity selecting and purchasing time is saved, and the shopping experience of the user is improved.

The invention discloses a self-service selling method and a self-service selling system. The method comprises the steps of after successful user authentication, opening a selling window by a selling device; when the selling device detects closing of the selling window, performing photographing for obtaining an image of a current commodity through a camera, measuring the weight of the current commodity through a weight sensor, identifying the commodity in the photographed image, determining the weight of the commodity in the image according to pre-stored weight information which corresponds with the identified commodity, determining whether the weight which is measured by the weight sensor is same with the weight of the commodity in the image through comparison, and if yes, performing comparison between the weight which is measured by the weight sensor and the weight of the commodity before opening of the selling window, thereby determining the commodity which is purchased by a user at this time; requesting for electronic buying list of the commodity at this time from a cloud service platform, and reminding the user of payment according to the electronic buying list. Therefore the self-service selling method and the self-service selling system realize advantages of more accurately identifying the commodity which is purchased by the user, improving purchasing convenience, and improving purchasing experience.

The invention discloses a realizing method and a realizing system of an intelligent home video business in a multi-screen cooperating mode. One embodiment of the method comprises the steps that a user group is established; the user state is stored; a communication mode between each two client terminals is defined; the roles and the functions of the client terminals are defined; and the client terminal information synchronization of each intelligent equipment is realized through the way that a video is broadcast or ordered to each client terminal in the network in a streaming media manner, and a synchronization request is sent to other terminals after a video receiving program of a video terminal acquires a timestamp mark thorough combining the way of timestamp marking of an RTSP (real time streaming protocol) in video streaming media with the way of an EPG (electronic program guide) of television programs so as to realize synchronization among different media terminals. The method and the system are used for being combined with a new business mode requirement of a video business and solve the problem that the existing three-screen interaction solution which has less control over the video broadcasting mode does not achieve a complete support effect on the new video business mode.

Systems (100) and methods (100) for managing checkout line efficiency of a retail store. The methods involve electronically obtaining, by a store intelligence system (128), first data indicating an efficiency of each checkout lane of a plurality of checkout lanes (152) and second data indicating a total number of shopping carts (106) in each checkout lane and/or a total number of articles within each shopping cart. A checkout lane recommendation is then generated by the store intelligence system for a customer (104) based at least on the first data and/or the second data. The checkout lane recommendation is communicated from the SIS to a mobile communication device (102) in the possession of the customer.

A system and method for improving and maintaining retail store customer loyalty through providing customers with quality services, timely assistances, and conveniences in all stages of product shopping. The system provides a web parts based collaborative online platform for retailers, product manufacturers, and service providers to share resources, distribute coupons, promote products and services, and communicate with customers. It further provides shopping assistances to help customers selectively receive coupons, redeem coupons online, build shopping lists online, retrieve shopping list and shopping reminders, find product shelf locations, place online orders, and manage budgets and nutrition. The system has the capability to collect customer shopping activity data, automatically analyze customer product purchase preferences, recommend products and services, and deliver relevant coupons and advertisements to customers.