155results about How to "Improve the buying experience" patented technology

A System for Mobile Electronic Commerce includes a first server, a first database, and a mobile application executable on a mobile device. The first server is in communication with a first database. The first database stores bar code information.

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.

Systems and methods for e-commerce customer support activities are provided via an analytics server, which provides real-time information concerning customer visits to an e-commerce Web site to a merchant that operates the Web site, for example via a dashboard or other user interface. The real-time information allows the merchant to monitor and optionally interact with customers visiting the Web site, for example by viewing requests for customer service and providing real-time customer service via interactive user interfaces. Real-time telemetry concerning the customer visits is provided to the analytics server, which then presents the information in meaningful fashions via the dashboard or user interfaces for review by the merchant. Merchant responses to the information is facilitated via analytics engines, customer support engines, rule engines, deal engines, recommendation engines, and other components, which may operate according to customized rule sets to implement specific customer support policies.

Systems and methods are provided that can include monitoring of activities of potential customer users, for example, on an e-commerce Web site. Based at least in part on the monitored activities, a notification or alert may be provided to a merchant or a merchant administrator, regarding a potential customer, such as by being sent to a mobile device of the merchant or merchant administrator. Real-time communications may be facilitated or initiated between the merchant or the merchant administrator and the potential customer, such as with regard to a potential purchase, which communications can include the use of mobile devices.

The present invention relates to a system and method for enabling customer self-checkout using a portable device. The system allows the customer to walk in to a retail store, check out items at the store, pay for the goods and present a proof of payment at the store exit. Thus the invention asserts the possibility of having unmanned stores and benefits the stores and the customers alike. The store benefits by not having to invest in separate space, terminal and employees for check out process, while the customers benefits by not having to wait in queue to check out their goods and pay for the same.

A shopping server proposal system includes a mechanism that enhances the online retailer's existing database system with the necessary information to provide the desired services. The existing catalog of items is analyzed based on a set of predefined rules for a given retail store. This analysis determines which of the items in the catalog are related to other items in the catalog. The result of this analysis includes new relations of the catalog items that are written into the retailer's existing database system. The mechanism for assembling this information, based on a set of predefined rules, is independent of the retailer or the retailer's industry. The provides retail businesses with a competitive edge by enabling them to offer automated shopping advice to solve the shoppers' problems of finding related and matching items, and by providing a list of related items based on the selected item's properties.

Broadly, the present invention relates to data processing in general and more particularly to a finance management system or “system” (5) relating to the auto industry (25) that provides a gateway for vehicle purchase lead management tools to seamlessly integrate the auto sales process with the auto finance process, and enables sellers (25) to initiate, process, and decision loan transactions with financial institutions (100). The financial management system (5) described herein preferably includes, among other things, credit filters, (20), auto population of documents, and a decision engine (105) that retrieves or collects and combines or merges the borrower's credit file(s) (110) with an applicant's information (115), processes the information or data to a specific vehicle (145) and finance structure (160), matches the data against a lender's proprietary mix of loan programs, pricing, credit policies and / or custom scoring models (120) to determine if a borrower (30) has qualified for a loan, and makes a result presentation (155) of a finance level of acceptability available to the auto dealer (25).

The invention relates to a two-dimensional code based inventory management method and a two-dimensional code based inventory management system. The method comprises the following steps of: a manufacturer background system generates a two-dimensional code and prints the two-dimensional code on the package of goods; the first code scanning equipment scans the two-dimensional code on the goods to obtain the in-factory data and out-factory data; the first code scanning equipment sends the in-factory data and out-factory data to the manufacturer background system; the manufacturer background system records and stores the in-factory data and out-factory data; the second code scanning equipment scans the two-dimensional code on the goods to obtain the in-storage data and out-storage data; the second code scanning equipment sends the in-storage data and out-storage data to a host; and the host records and stores the in-storage data and out-storage data. In the invention, two sets of two-dimensional codes are generated by a software system: carton code and box code of the package of goods; the manufacturer scans the carton code to realize statistics and management of the inventory; each dealer store scans the carton code to realize purchase statistics and scans the carton code and box code to realize delivery statistics.

The invention provides an offline integral exchange method and a system based on a two-dimensional code. An integral user selects a goods and the goods is added to a cart; settlement in the cart is carried out, and the integral is adopted to exchange a goods; a goods picking two-dimensional code of the order is acquired; and in the case of goods picking, the goods picking two-dimensional code is scanned for cancel after verification and goods picking. The user can enter an integral mall home page through a WeChat end or an APP end, "I want to exchange" is selected, a nearby shop can be positioned and searched directly through LBS, the nearby shop is entered, the purchased goods is selected to be added to the cart, integral settlement in the cart is directly carried out, and two-dimensional code scanning is carried out in the shop for cancel after verification and goods picking. In the case of shopping, compared with the traditional mall exchange mode, a wider goods picking mode is also provided, both online goods picking and offline goods picking can be realized, in the case of offline goods picking, the goods picking two-dimensional code only needs to be scanned for cancel after verification, the integral exchange behavior of the time is completed, cancel channels in multiple aspects can be provided for the integral user, and the integral can be effectively used.

The invention discloses an intelligent manufacturing method and system; the method comprises the following steps: receiving order product confirm information, splitting the order products into a plurality of order sub-modules according to basic module, variable module and specific module classifications, and creating a production order and forming purchase information; forming production scheduling information of the order products according to the production order; assembling the plurality of order sub-modules into order products according to the production scheduling information when the purchase is finished. The method splits the order products into the plurality of order sub-modules according to basic module, variable module and specific module classifications, makes production scheduling information, purchases the order sub-modules according to the basic module and variable module classifications, online arranges the specific module 3D printing, finishes order product assembling according to the production scheduling information, automatically online detects the products, packages the products, and forms dispensing logistics information, thus customizing products according to user demands, and satisfying user daily growing diversified and customized demands.

The invention relates to an intelligent vending machine. According to a face image of a user, the gender and age of the user are analyzed, and personal recommended advertisements related to the genderand age information are played. The intelligent vending machine collects the gender, age and purchase items of the user within a preset time, and then sales behavior statistical results in all time frames are obtained accordingly. The intelligent vending machine plays corresponding time frame recommended advertisements in all the time frames according to the sales behavior statistical results. According to the intelligent vending machine, different personal recommended advertisements are provided for different users, different time frame recommended advertisements are provided for different time frames, and the user can have better consumption experience.

The invention relates to the technical field of electronic payment and provides a discount coupon deduction method, device and electronic equipment. The discount coupon deduction method includes: reading data of all discount coupons owned by a customer according to a received consumption request; analyzing and classifying data of each discount coupon; respectively calculating corresponding discounts of each type of the discount coupon data, selecting highest-discount discount coupon data as pre-selected discount coupon data from each type of the discount coupon data; selecting highest-discountpre-selected discount coupon data as target discount coupon data from the pre-selected discount coupon data corresponding to each type; performing discount coupon deduction according to the target discount coupon data. The discount coupon deduction method, device and electronic equipment have advantages that the highest-discount discount coupon can be automatically matched and calculated to realize automatic deduction for the customer, and accordingly purchase experience of the customer is improved, and the maximum merchant promotion value is realized.

The invention discloses a sale management method, which comprises the following steps: obtaining payment information of a consumer and cost of goods; calculating profit of the goods according to the payment information and the cost; obtaining consumption profit-sharing proportion of the consumer and sale profit-sharing proportion of a merchant; and allocating the commodity profits to the consumer and the merchant according to the consumption profit-sharing proportion and the sale profit-sharing proportion. The invention also provides a corresponding sale management system. Suppliers and buyers are linked in the form of a service platform, and goods supply cost is obtained; and the profits are allocated to the buyers through a logical algorithm, and the buyers are allowed to gain profit of the products in the consumption, thereby reducing layer-by-layer price increase phenomenon of conventional product sale and improving user purchase experience.

The embodiments of the present invention disclose a right and interest information management method, a right and interest information management apparatus, a right and interest information managementdevice and a computer readable storage medium. The method includes the following steps that: a communication connection with a service channel is established, wherein the service channel is a communication channel between an agent and a client; the communication data of the agent and the client are obtained through the service channel; the communication data are synchronized to a Hadoop system, the communication data are analyzed and processed through the Hadoop system, so that dimension right and interest information corresponding to the client can be obtained; the dimension right and interest information is stored in a preset dimension right and interest information template according to a preset information arrangement rule, so that a right and interest information table can be generated; and the right and interest information table is sent to an agent terminal. With the right and interest information management method, apparatus, device and computer readable storage medium of theinvention adopted, the agent can track client rights and interests which are handled by the agent according to the right and interest information table, and therefore, adhesion between the agent and the client can be increased, and the purchasing experience of a user can be improved.

An intelligent fresh-keeping cabinet for fruits and vegetables in supermarkets comprises a cabinet body, an ozone generator, a vacuumizing device, a deflation device and an induction system; a plurality of partition plates movably inserted into inserting grooves are arranged in the cabinet body, and the partition plates are used for containing the fruits and vegetables; the ozone generator is mounted at the top of the cabinet body and used for reacting oxygen in the cabinet body to generate ozone, and an ozone sensor is mounted in the cabinet body; the vacuumizing device comprises a vacuum diaphragm pump mounted at the top of the cabinet body and a negative pressure sensor mounted in the cabinet body, and the vacuum diaphragm pump is used for vacuumizing the interior of the cabinet body toform negative pressure; the deflation device is arranged on the cabinet body and is used for keeping balance of pressure inside and outside the cabinet body; the induction system is mounted on the cabinet body and used for inducting that a person needs to open a sealing door and sending a signal to a control system, and the control system controls the deflation device to work so that pressure inside and outside the cabinet body can be kept balanced. The intelligent fresh-keeping cabinet is low in manufacturing cost, good in fresh-keeping effect, long in fresh-keeping time, high in intelligence and humanization degree and good in purchasing experience effect.

The invention relates to an ice cream self-service vending machine. The machine comprises a frame, a front door and a side door which are opened or closed along the frame, a main machine supporting plate which is fixed at the middle part of the frame, wherein an ice cream main machine is fixedly arranged at the upper end of the main machine supporting plate, a refrigeration module is arranged below the main machine supporting plate, a cup dropping mechanism is arranged on one side of the ice cream main machine, a feeder is arranged on the other side of the ice cream main machine, a transmission mechanism is arranged below the cup dropping mechanism, a slurry feeding mechanism is arranged on one side of the feeder, a discharging mechanism fixed on a front door is correspondingly arranged below the slurry feeding mechanism, an operation panel and a face recognition payment system is fixedly installed on the front door, and inner side walls of the front door and the side door are both provided with constant-temperature foaming plates; according to the ice cream self-service vending machine, the refrigerating module is arranged below the inner part of the frame, so that the integral sealing and freezing of the ice cream self-service vending machine are realized by adopting the constant-temperature foaming plate matched with a metal plate at the outer side of the frame, the low-temperature and sterile environment in the cabinet body is ensured, raw materials for making the ice cream, including frozen raw materials, fruit pulp or cream, sugars, oatmeal, etc., are prevented from being deteriorated.

Broadly, the present invention relates to data processing in general and more particularly to a finance management system or “system” (5) relating to the auto industry (25) that provides a gateway for vehicle purchase lead management tools to seamlessly integrate the auto sales process with the auto finance process, and enables sellers (25) to initiate, process, and decision loan transactions with financial institutions (100). The financial management system (5) described herein preferably includes, among other things, credit filters (20), auto population of documents, and a decision engine (105) that retrieves or collects and combines or merges the borrower's credit file(s) (110) with an applicant's information (115), processes the information or data to a specific vehicle (145) and finance structure (160), matches the data against a lender's proprietary mix of loan programs, pricing, credit policies and / or custom scoring models (120) to determine if a borrower (30) has qualified for a loan, and makes a result presentation (155) of a finance level of acceptability available to the auto dealer (25).

The invention discloses a intelligent ordering system of a fresh food store comprising: a commodity sales volume prediction module which is used for determining a discount promotion time point and predicting the sales volume of each commodity before discount promotion; an order module which is used for determining the actual order quantity of each commodity; And a promotion module which is used for acquiring the time point of discount promotion and the discount number of the commodities after the time point of discount promotion from the commodity sales prediction module. According to the system, the recommended value of the order quantity of each commodity every day is provided for the store, so that the order is simpler and more intelligent; The commodities are reasonably and objectivelyordered; The method has the advantages that the richness of commodities capable of being sold in the fresh store is planned comprehensively, the problem that the store loses or is insufficient in supply due to too much or too little commodities can be solved to the maximum extent, a set of store promotion scheme can be provided, the consumption experience of store customers is improved, and the customer purchase experience of the fresh market store is improved.

The invention discloses a VR device, a sales field shopping data processing method thereof and a storage medium. The method includes: presetting various sales field shopping scene data, which are used for interaction, on the VR device, and storing the same; presenting a real scene of a sales field by VR glasses of the VR device when a user wears the VR glasses, wherein the scene includes most basic prototype placement locations, shopping guides, promotion posters and machine type advertisement videos; and when an operation instruction that the user clicks and looks at a certain television in VR is received, controlling display by a VR lens to gradually adjust a distance between the television and the user to be shorter, and controlling and presenting a scene of watching the television in a drawing room. According to the method, a user shopping experience degree of the sales field is greatly increased, sales volumes of the sales field can be effectively increased, the problem of one-to-one explanation of the shopping guides in the sales field is solved, the problem that the shopping guides are insufficient in familiar degrees on products is also solved, so many salesmen are not needed, and manpower costs are greatly saved.

The invention discloses an object positioning method, an object positioning device, and a computer system. The object positioning method comprises the steps of: receiving a color image and a depth image corresponding to the color image; performing image fusion on the color image and the depth image to obtain a target image, wherein the target image is an RGBD image, an Alpha channel of the targetimage corresponds to the depth image, and an RGB channel corresponds to the color image; and inputting the target image into a preset model for identification, and positioning the position of a targetobject in the target image, wherein an input layer of the preset model comprises an RGB channel and an Alpha channel. Compared with the identification only based on the color image, the object positioning method and the object positioning device improve the target object positioning efficiency and accuracy rate, can realize tracking of the displacement route of the target object according to theposition of the target object, can track a shopping route of a customer when being applied to an unmanned store, guarantee the goods safety, can be further used for analyzing customer purchasing behaviors, and enhance customer purchasing experience.

The invention discloses a typicality-based big comment data mining method. The method comprises the steps of conducting comment typicality mining modeling, and conducting modeling and formalized definition on comment typicality calculation and the minimum representative comment set mining problem; (2) automatically constructing a typicality comment prototype; (3) conducting minimum comment set mining, and adopting the minimum comment set mining algorithm for screening out one minimum comment set; (4) adopting the BigSimSet parallel computing method, and calling computing nodes in a distributed cluster for processing a similarity comment detection task in a parallel mode. According to the typicality-based big comment data mining method, on the two viewpoints of the cognitive psychology and the viewpoint mining, the user comment typicality balance method is studied, and the minimum comment set with the representativeness is mined on the basis of the method, so that a potential commodity client is helped to know a certain commodity more comprehensively at multiple angles, the user is helped to screen out the needed commodity more accurately, and the user purchase experience is improved.

The invention relates to delivery method and device. The method comprises the steps that a user identity is identified; a user-selected product combination is determined; the price of the selected product combination is calculated; fee deduction is carried out on a user-bound electronic wallet based on the price; and if fee deduction is successful, the selected product combination is delivered. According to the technical scheme, a vending machine can automatically identify the user identity, and purchase is completed without the assistance of a smart terminal; according to the user's selection, the product combination including at least one product is delivered, so that the user can purchase multiple wanted products on the vending machine at one time; product selection of the user on the vending machine is personalized; and the purchase experience of the user is improved.

The present invention discloses a mobile terminal, an order processing method thereof and an Internet ticketing system and method. The order processing method comprises a step of receiving a purchase order sent by a server end, and a step of checking the purchase order, sending first data to the server end if the checking is correct, and sending second data to the server end if the checking is wrong, wherein the first data comprises a first message for prompting successful ticket booking and an electronic ticket which comprises a unique identification code, and the second data comprises a second message for prompting failed ticket booking. According to the mobile terminal, the order processing method thereof and the Internet ticketing system and method, the disadvantages of slow feedback, low rate of finished products, resource waste, low working efficiency, and the poor use experience of a user, and the advantages of saving manpower and office resource cost, reducing supplier confirmation time, raising the rate of finished products, and improving the use experience of the user are achieved.

The embodiment of the invention discloses a voice recognition processing method of an insurance product and a server. The method comprises the steps of obtaining voice information input by a user froma terminal; identifying the voice information as text information; carrying out word segmentation processing on the text information by combining a special vocabulary library and a natural language library related to the insurance product; and performing sentence type matching and semantic analysis on the text message subjected to word segmentation processing to obtain search keyword informationof the user, matching the search keyword information with a stored insurance product classifier, and outputting an insurance product in the insurance product classifier with the highest matching degree as a search result to a terminal. According to the voice recognition processing method for the insurance product and the server, the most appropriate insurance product can be recommended to the user, the efficiency of selecting and purchasing the product by the user is improved, and the purchase experience of the user is improved.

The present invention provides a method for providing augmented product specifications based on user reviews. The method obtains input data of specifications and user reviews on a plurality of products, each specification including at least a pair of a feature and a feature-value of the product. The method concatenates the user reviews of the products to form product-documents, each product-document corresponding to the concatenated user reviews of a product. The method further employs a topic model to process the input data and learn topic distributions in the product-documents and word distributions in topics. The topics include specifications of the products. The topic model is a type of statistical model for discovering topics that occur in a collection of product-documents. Based on the topic model, the method can provide augmented specifications including one or more of relevant sentences of the feature-value, feature importance information, and product-specific words of the product.

The invention discloses an intelligent vending machine with a fingerprint recognizer; the intelligent vending machine comprises a box body (13), a cargo storage case (1) arranged in the box body (13), a deliver chamber (2) arranged below the cargo storage case (1), and an internet of things terminal; the internet of things terminal comprises a central processor controlling the cargo storage case (1) to deliver cargo, an external communication port, and a peripheral sensing port, wherein the peripheral sensing port is the fingerprint recognizer (12); the intelligent vending machine can identify user information through the fingerprint recognizer, so the cargo can be purchased by taking fingerprints.

The invention provides a commodity matching recommendation method based on carrier construction, a computer storage medium and electronic equipment, and the method comprises the following steps: S1, obtaining a carrier or a gene in a preset time period and an associated product related to the carrier or the gene, and generating sample data; S2, carrying out model training on the sample data to obtain a correlation model of the vector or gene and an associated product; and S3, acquiring a design vector or gene set by a user as input of the correlation model to obtain a recommended product related to the design vector or gene. According to the method provided by the embodiment of the invention, the correlation model of the vector or gene and the associated product is constructed, so that when a user inputs the design vector or gene, the system can output the training result of the correlation model according to the input design vector or gene, and a recommended product related to the design vector or gene is provided in a targeted manner; therefore, the attraction of the product to the user is increased, and the purchase rate of the user is improved.