49 results about "Customer identification" patented technology

Some embodiments provide systems comprises: a customer database; a product database; a training data database; a customer evaluation system configured to implement one or more machine learning acceptance probability models to identify an acceptance likelihood factor, and determine whether the each respective customer has a corresponding acceptance likelihood factor greater than a likelihood threshold value; and a plurality of point of sale (POS) systems configured to complete sales transactions, obtain customer identifying information, and communicate the customer identifying information to the customer evaluation system; wherein the customer evaluation system is configured to communicate customer information to the payment method offer entity when the customer has an acceptance likelihood factor greater than a likelihood threshold value, receive authorization to present the customer with a payment method offer, and to present the payment method offer.

The application relates to the technical field of electronic equipment, in particular to a method for flashing an operating system, which comprises the following steps: generating restriction information containing a customer identification ID and an image validity period, encrypting the restriction information as a file header through the customer identification ID, forming a double-encrypted file by encrypting the main body of the image with the restriction information; binding a flashing tool with the customer identification ID and hardware information of a flashing device, decrypting the file header and checking the consistency of the customer identification ID and the image validity period in the restriction information after checking the legality of the binding; decrypting the main body of the image and burning it to a target device after the checking, and clearing temporary data after the burning is completed. The double-encryption mechanism prevents the image from being leaked and tampered with, the hardware binding realizes the authorization checking in an offline scene, the multi-dimensional checking such as the validity period and the file size precisely controls the use range of the image, and the safety and controllability of the flashing process are effectively improved.

To enable a plurality of users belonging to different customers to use one image forming apparatus via a print server.SOLUTION: The print server includes a first reception unit configured to receive first user information of login from the terminal, a first acquisition unit configured to acquire first customer identification information corresponding to the first user information, a second reception unit configured to receive a registration code of the image forming apparatus input by the terminal, and a second acquisition unit configured to acquire identification information of the image forming apparatus corresponding to the registration code. The information processing apparatus includes a registration unit configured to, in a case where second customer identification information different from the first customer identification information is registered, register the first customer identification information and the second customer identification information in the identification information of the image forming apparatus, and a first transmission unit configured to, based on a print instruction from the terminal, transmit a print job to the image forming apparatus corresponding to the identification information of the image forming apparatus in which the first customer identification information is registered.SELECTED DRAWING: Figure 6

An information processing device and a program for efficiently conducting product sales activities in financial institutions are provided. [Solution] The information processing device comprises: a selection receiving unit that receives from a user a selection of a predictive model from among a plurality of predictive models for predicting a score indicating the probability of contract success, the predictive model being machine-learned using training data that can correlate with the success or failure of a contract for a product offered by a financial institution; a customer data receiving unit that receives input of customer data in which customer identification information and the plurality of variables are associated; an extraction unit that extracts one or more variables from the plurality of variables contained in the customer data that correspond to the predictive model selected by the selection receiving unit from the user; a generation unit that generates customer data to which the score has been assigned by inputting customer data that includes at least the one or more variables extracted by the extraction unit into the predictive model; and an output unit that outputs the customer data to which the score has been assigned.

An object of the system according to the embodiment is to evaluate market suitability of a business idea of a user and provide a specific action plan.SOLUTION: A system includes an idea input part, a market evaluation part, a customer specification part, and a competition analysis part. The idea input unit inputs an idea of a user. A market evaluation part evaluates the market needs on the basis of the idea input by the idea input part. A customer specification part specifies a target customer layer on the basis of the market needs evaluated by the market evaluation part. The competition analysis unit analyzes a situation of a competitor based on the target customer layer specified by the customer specification unit.SELECTED DRAWING: Figure 1

[Problem] To provide an information processing device and an information processing method enabling assistance of sales and marketing to a customer who belongs to an organization. [Solution] An information processing device 10 according to the present disclosure comprises: a database 11 that stores sales and marketing information related to sales and marketing to a customer, attribute information related to an attribute of the customer, organization identification information that allows identification of an organization to which the customer belongs, and organization sales performance information on the sales performance of a predetermined product with respect to the organization, in association with customer identification information that allows identification of the customer; a customer sales performance prediction unit 12 that predicts a customer sales performance, which is the sales performance of the product to the customer, for each organization identification information on the basis of at least the sales and marketing information and the organization sales performance information; and a use probability prediction unit 14 that predicts the probability that the customer sales performance is a predetermined value or greater on the basis of the attribute information as a use probability of the product.

The application discloses a kind of customer credit rating method and system based on heterogeneous time lag risk transmission.The method constructs multi-source risk event library, records event type, occurrence time stamp and associated customer identification;Through time series analysis of historical default cases, the latent period length, peak impact intensity and decay half-life of each event type are determined using Weibull distribution fitting;For the customer to be rated, call the transmission parameters according to the event type, calculate the residual impact intensity with a multi-channel decay function and sum, generate a dynamic risk accumulation score;Input the accumulated score into the pre-trained mapping model to generate a time-effect correction factor to correct the basic credit score;In the group multi-agent scenario, align and calibrate the time of each subsidiary rating snapshot and synthesize it with weight, output the cross-agent comprehensive credit score.The application effectively solves the rating lag problem caused by the dispersion of multi-source risk transmission rate, improves the timeliness and accuracy of rating.

The invention provides a potential customer identification method and device, equipment, a medium and a program product, relates to the technical field of artificial intelligence, and can solve the problem that the accuracy of potential customer identification is poor. The specific technical scheme is as follows: in response to a first input for at least one group session in a session list interface, obtaining session data of each group session in the at least one group session; extracting a session feature vector related to the target service in the session data of each group session through a potential level determination model, and determining potential levels of all contacts in at least one group session based on the session feature vector and a potential level determination rule; and sending different messages related to the target business to the contacts of different potential levels. The accuracy of identifying potential customers is improved.

The application provides a cross-agency data interaction method and system. The cross-agency data interaction method comprises the following steps: receiving a request content sent by a data query party; verifying the legitimacy of the unique code of the agency of the data query party according to a member query permission list; forwarding a first customer identification commitment value to a target data provider based on the legitimacy verification; receiving a first encryption result sent by a plurality of target data providers; verifying the validity of the plurality of first encryption results using a global verification public key; based on the validity verification, performing homomorphic encryption ciphertext addition aggregation on the plurality of first encryption results to obtain a total ciphertext result; encrypting the total ciphertext result using a query party public key to generate a final encryption result; and sending the final encryption result to the data query party. The application realizes unified control of cross-agency queries while ensuring that customer sensitive information is not leaked.

A computer-implemented method of continuously updating information about a customer approved for a mortgage, the customer associated with a customer identification number. In one aspect, the method may include monitoring information accessed from a blockchain corresponding to the customer identification number, the information used to determine the customer is approved for a mortgage. In addition, the method may further include receiving new information about the customer, the new information used to determine the customer is approved for a mortgage. Further, the method may include updating a block of the blockchain to include the new information and recalculating the amount in which the customer is approved for a mortgage based upon the new information received.

The utility model provides an automatic shopping following system based on an ultra wide band technology and RFID, which comprises a customer identification end, a shopping cart terminal and a commodity identification end, and is suitable for a large-scale shopping place with a large-area sales area and a large variety of commodities. The UWB anchor point of the shopping cart terminal is communicated with the UWB tag of the customer identification terminal, so that the shopping cart in the store accurately follows the customer in real time; the RFID card reader of the shopping cart terminal is communicated with the RFID tag of the commodity identification terminal, so that the commodity identification of the shopping cart is realized; the combination of UWB and RFID has the advantages of stability and accuracy on the automatic shopping following system. And meanwhile, during dormancy, the shopping cart terminal is electrically connected with the charging circuit of the customer identification end through the charging port for charging, so that the shopping cart has the advantages of low power consumption and high efficiency.

To provide a commodity sales data processor and a program capable of supporting the purchase of a special commodity.SOLUTION: A commodity sales data processing apparatus according to an embodiment includes a first acquisition module configured to acquire commodity identification information of a commodity purchased by a customer, a calculation module configured to calculate, when the commodity corresponding to the commodity identification information is a nonstandard commodity set to be sold at a discount, a contribution amount by multiplying a subtraction amount for the discount by a ratio relating to a donation set in advance by the customer, a processing module configured to execute processing relating to sales of the nonstandard commodity based on a subtraction price obtained by subtracting a remaining amount obtained by subtracting the contribution amount from the subtraction amount from a price of the nonstandard commodity, and a management module configured to cumulatively manage the contribution amount in association with customer identification information of the customer.SELECTED DRAWING: Figure 13

This invention discloses a customer identification and dynamic monitoring analysis system and method based on intelligent agents, belonging to the field of big data monitoring technology. The invention identifies structured transaction data in target customer transfer requests and assigns an independent code to each customer; it then filters out suspected risk data based on a first risk assessment condition; it calculates the correlation between suspected risk data and transaction data by weighting the correlation based on transfer time correlation, co-occurrence correlation, and interval correlation; and it distinguishes between risky and non-risky data based on a second risk assessment condition. Simultaneously, it sets an optimization cycle, adjusting the weights in the correlation calculation according to the risky data and the first risk assessment condition. This method can reduce false triggering rates, decrease manual and computational costs, dynamically adapt to risk characteristics, improve the timeliness of risk interception and the comprehensiveness of illegal transaction identification, and safeguard financial security.

The invention provides a target customer identification method and device, equipment, a storage medium and a program product, which can be applied to the technical field of big data. The method comprises the steps that in a pre-constructed knowledge graph, nodes are divided according to the association degree of the nodes, m communities are generated, the knowledge graph comprises the nodes and edges, the nodes are constructed according to customer information, and the edges are constructed according to association relation information between customers; calculating an abnormal index of each community according to the nodes of which the point feature mapping values are greater than or equal to a first set threshold value and / or the edges of which the edge feature mapping values are greater than or equal to a second set threshold value in each community in the m communities; determining the communities of which the abnormal indexes meet a third set threshold value as target communities; calculating the influence score of each node in the target community according to the edge feature mapping value of the edge in the target community and the set feature weight of the edge; and identifying the customer corresponding to the node of which the influence score is greater than or equal to a fourth set threshold value as a target customer.

The embodiment of the invention provides an account information early warning method and device, equipment, a storage medium and a program product, and relates to the field of big data and financial science and technology. The method comprises the steps of collecting multi-source heterogeneous data of a target account, wherein the multi-source heterogeneous data comprises target account information and behavior data; extracting feature data corresponding to the multi-source heterogeneous data through a pre-trained feature extraction model; performing early warning label matching on the feature data based on neighborhood mutual information evaluation by using a pre-trained early warning identification model; and when the feature data is matched with the early warning tag, performing early warning on the target account. According to the method provided by the invention, the early warning information is pushed in real time in the number taking and cash taking process of the client, and the bottlenecks of insufficient behavior recognition, data fragmentation and difficult tracking in offline scene taking are solved. According to the method, early warning combining multi-dimensional data, real-time behavior analysis and a biological recognition technology is realized, the behavior safety is enhanced, the subjectivity of manual judgment is reduced, and the suspicious customer recognition efficiency is improved.

To provide a method for accurately understanding the contents of each document according to the needs of each business partner. [Solution] The information processing method includes a computer acquiring at least one form data, converting the form data into a text dataset containing multiple text data, acquiring customer identification information indicating a customer associated with the text dataset, and applying the text dataset to a trained model to generate a structured dataset associated with the customer, wherein the trained model is based on the relationship between the text data associated with the form data and the customer master data associated with the customer identification information.

The present invention relates to a location-based traffic safety information generation device and a safe driving support system. The location-based traffic safety information generation device according to the present invention comprises: a location information management unit that identifies traffic accident location information by combining location information of a customer's dispatch request related to a traffic accident and location information of an insurance company's field dispatcher's arrival at the scene, and manages the traffic accident location information by matching it with customer identification information that identifies the customer; a traffic accident compensation information extraction unit that extracts traffic accident compensation information, which is information regarding compensation provided by the insurance company to the customer for the traffic accident, from a compensation information database; a location / compensation matching information generation unit that generates location / compensation matching information by mutually matching the traffic accident location information and the traffic accident compensation information; and a traffic safety information generation unit that identifies the cell to which the traffic accident location information belongs by mutually comparing the traffic accident location information with location information of a plurality of cells pre-divided in the geographic space on an electronic map, and generates location-based traffic safety information and databases it by matching the traffic accident compensation information with the location information of the identified cell. According to the present invention, the location of a traffic accident can be accurately determined by combining the location information of the dispatch request from the customer at the accident site and the location information of the arrival of the on-site dispatcher from the insurance company. Additionally, traffic safety information fused with the traffic accident location information and the insurance company's professional traffic accident compensation information, including the cause and type of the traffic accident that occurred at the determined location, can be provided to the driver.

The invention discloses a client information processing method and device, a program product and electronic equipment, and relates to the field of financial science and technology or other related fields, and the processing method comprises the steps: determining the event type of an account change event under the condition that the account change event is detected, acquiring customer information associated with the customer identifier from a preset customer panoramic view, processing the customer information by adopting a preset processing model under the condition that the event type is an account amount increase type to obtain a product sorting combination of a target customer indicated by the customer identifier, and processing the product sorting combination of the target customer indicated by the customer identifier under the condition that the event type is an account amount decrease type to obtain a product sorting combination of the target customer. And processing the customer information by adopting a preset loss model to obtain a loss probability of the target customer, and triggering a customer maintenance strategy under the condition that the loss probability is greater than a preset probability threshold. The technical problem that customer information cannot be efficiently processed in related technologies is solved.

The invention discloses an establishment method of a logistics latent passenger identification model, and a logistics latent passenger determination method and device, and relates to the technical field of data processing. A specific embodiment of the establishment method comprises the following steps: constructing a training data set based on waybill data and first reported clue data in a preset first historical time period; training the factorization machine algorithm model based on the training data set to obtain a first-order model; constructing a prediction data set based on the waybill data and the second reported clue data in a preset second historical time period; predicting the prediction data set by adopting a first-order model, recalling a customer group indicated by a prediction result and a pre-acquired potential customer group under a preset traffic proportion, and determining an optimal traffic proportion; and performing weight configuration on the primary model and the group determination mechanism according to the optimal flow proportion, so that the primary model and the group determination mechanism obtain a logistics potential passenger identification model based on respective weight combinations. According to the embodiment, high-quality logistics potential guest determination and recommendation can be realized.

According to the present disclosure, a method for providing page information and an electronic device therefor are disclosed, the method including the steps of: checking whether order information acquired from a customer's terminal includes alcohol order information; if the order information includes the alcohol order information, providing a first page including the order information and a first icon for verifying customer identification to a delivery person's terminal; providing a second page for verifying customer identification to the delivery person's terminal based on an input corresponding to the first icon; if customer identification verification is completed, providing a third page for verifying customer signature to the delivery person's terminal; and if at least one of customer identification verification and customer signature verification is not completed, providing a fourth page to the delivery person's terminal including a second icon for refusing to accept alcoholic beverages among the ordered items and a third icon for refusing to accept all of the ordered items.

This application discloses a method, apparatus, and system for intelligently calculating insurance customer medical examination exemption limits. The method includes: receiving an underwriting decision request; constructing a hybrid feature vector based on customer identification, integrating statistical features and actuarial rule features; selecting a target model from a pre-trained risk prediction model library according to product type, and inputting the vector to obtain a customer risk probability value; responding to the risk probability value, calculating and outputting a personalized optimal medical examination exemption limit through an optimization model aimed at maximizing the company's long-term expected profit. This application, through the dual-engine linkage of data-driven risk prediction and profit model-driven decision optimization, achieves automated information processing from accurate individualized risk assessment to automated optimal business decision-making, significantly improving work efficiency.

This application discloses a customer identification method, apparatus, and electronic device based on extreme domain adaptation. The method includes: acquiring first customer data corresponding to a first billing period and acquiring second customer data corresponding to a second billing period; wherein the first billing period is prior to the second billing period; constructing a target migration matrix based on Extreme Learning Machine (ELM), and updating the parameters of the target migration matrix according to the first and second customer data; acquiring third customer data corresponding to the second billing period, and determining the customer identification result corresponding to the third customer data through the parameter-updated target migration matrix. Implementing this application embodiment can improve the migration efficiency between customer identification models for new and old billing periods based on Extreme Learning Machine (ELM), thereby effectively and reliably achieving domain adaptation of the new model migrated and constructed under the new billing period, which is beneficial to improving the accuracy of customer identification based on the new model.

The invention discloses a target customer prediction method and device based on a relational network. The method comprises the following steps: generating a data wide table based on acquired in-line data and out-line data; based on the in-row data and the out-row data, public opinion risk tags and corresponding tag values are obtained through a pre-established public opinion risk classification model; constructing a feature vector set according to the data wide table and a preset variable screening rule; based on preset fact class tags, public opinion risk tags and corresponding tag values, constructing a target customer pool; determining a target customer based on the fact class tag, the public opinion risk tag, the target customer pool, the feature vector set and a pre-constructed relationship network diagram, wherein the relationship network diagram is constructed based on a data wide table; according to the method, unified integration of internal and external data, structured modeling of an enterprise association relationship and joint quantitative analysis of customer similarity features and network structure features are realized, so that the accuracy and stability of target customer identification are improved.

To provide a product suggestion method, program, and device that minimize the burden of customer registration procedures and can introduce useful product information tailored to the characteristics of each customer. [Solution] The product proposal method includes a customer identification information acquisition step of acquiring SNS identification information on an SNS registered by the customer; a customer attribute information acquisition step of acquiring customer attribute information associated with the SNS identification information; a customer needs acquisition step of acquiring needs information indicating the customer's needs; a product information acquisition step of acquiring product information relating to a group of products to be offered to the customer; and a product identification processing step of identifying and presenting to the customer proposed products based on the customer attribute information, needs information and product information using a natural language model 5 that performs natural language processing.

The invention provides a latent guest identification method and system based on user behavior characteristics, electronic equipment and a storage medium, and aims to solve the problems of insufficient marketing user identification accuracy and poor marketing real-time performance. The method comprises the steps of collecting signaling plane data and user plane data of a user; based on a DPI technology, analyzing encrypted service traffic in the user plane data, identifying an APP used by a user and an internet behavior, and generating an initial user internet behavior receipt; the user identity information and the position information contained in the signaling surface data are associated and matched with the initial user internet-surfing behavior document, and the matched information is returned to the initial user internet-surfing behavior document to form a complete user internet-surfing behavior document; and according to a preset potential customer identification rule, performing real-time stream processing on the complete user online behavior document, identifying potential customers and generating a potential customer list. According to the invention, the marketing success rate and efficiency can be greatly improved.

To improve convenience of a user.SOLUTION: And a processing unit configured to convert member shop identification information for identifying the member shop included in the credit settlement information into shop information of an electronic settlement service different from the credit card, and cause a display unit of a terminal of a customer corresponding to customer identification information for identifying the customer included in the credit settlement information to display the converted shop information.SELECTED DRAWING: Figure 1

A customer serving assistance apparatus (20) includes a first acquisition unit (210) and an output unit (220). The first acquisition unit (210) acquires customer determination information and customer serving desire information from a store terminal (10). An example of the customer determination information is a face image of a customer, or customer identification information. The customer serving desire information indicates whether customer serving by a clerk is desired. The output unit (220) determines, in regard to at least customer serving desire information indicating that customer serving is desired, customer determination information related to the customer serving desire information, and determines a face image of a customer related to the customer determination information. Then, the output unit (220) outputs output data including the determined face image. An example of an output destination of the output data is a clerk terminal (30).

The embodiment of the present application provides a card seat, a circuit board and an electronic device, the card seat is used for accommodating a customer identification card, and the card seat comprises a support, a connecting piece arranged on the support, and a detection spring piece arranged on the support; wherein when the customer identification card is not inserted into the card seat, the detection spring piece is electrically connected with the connecting piece; and when the customer identification card is inserted into the card seat, the detection spring piece is arranged in a spaced mode with the connecting piece. Whether the SIM card is inserted into the card seat can be judged by the connection state of the detection spring piece and the connecting piece. The physical abutment and separation of the detection spring piece and the connecting piece can accurately obtain whether the SIM card is inserted into the card seat, so that the accuracy of detecting whether the SIM card is inserted into the card seat is improved.