1072 results about "Customer information" patented technology

The invention relates to the technical field of automatic arrangement, and discloses a method and device for automatically arranging a business relation chain and a storage medium, and the method comprises the steps: constructing a business rule base based on supplier information, customer information and business information, and carrying out the standardization processing of customer demand data, and obtaining the standardized business demand information; performing multi-dimensional matching operation on the standardized business demand information based on the business rule base to obtain an initial supplier set, and performing dynamic weight adjustment on the initial supplier set to obtain an optimal supplier sequence; constructing a chain node graph according to the optimal supplier sequence, calculating and verifying a business constraint relationship between nodes, and generating a business relationship chain; the business relation chain is converted into a standard order format, order data synchronization is completed and an order synchronization result is output through encryption signature and a concurrent distribution mechanism, and the accuracy and efficiency of business relation chain arrangement are improved.

The invention discloses a motor vehicle maintenance management service system, and relates to the technical field of motor vehicle maintenance management, and the system comprises a client information management module which builds data for storing client multi-information, supports multi-format import and export, intelligently recognizes and updates, and guarantees the information to be timely and accurate; the vehicle fault diagnosis module is provided with various interfaces and expert systems, analyzes and diagnoses faults based on big data, and gives reasons, suggestions and cost estimation; the maintenance work order management module supports work order full-process operation, automatically distributes personnel and updates the progress in real time for clients to inquire; the maintenance accessory management module is provided with an inventory database and can intelligently match accessories and provide position query navigation; and the maintenance personnel management module is used for storing personnel information and evaluating performance. According to the invention, management efficiency and accuracy can be improved, accessory management and cost are optimized, personnel quality and service quality are improved, customer experience and satisfaction are enhanced, powerful support can be provided for enterprise decision making, and intelligentization of the motor vehicle maintenance industry is promoted.

The invention relates to the technical field of semantic analysis, can be applied to business scenes of financial science and technology, medical health and the like, and discloses an intention analysis and strategy generation method, device, equipment and medium, and the method comprises the steps: obtaining interaction data, recognizing an interaction type according to metadata features, selecting a corresponding analysis model to analyze and process data, and generating a text corpus; current user information is extracted from the text corpus, user intention score analysis is executed based on an intention analysis strategy corresponding to the interaction type, and a current user intention score is generated; and generating a demand list according to the user information, the intention score and the interaction type, and generating and outputting an interaction strategy based on the user information and the demand list. Through interaction data processing and automatic intention scoring analysis, the demand list and the interaction strategy of the customer can be quickly and accurately generated, the customer information processing efficiency and accuracy are improved, the workload of manual input and analysis is reduced, and the customer service quality and the response speed are improved.

A method, apparatus, and system of activating and using a contactless card via unique activation codes are disclosed. A system includes a memory and a processor configured to: receive an account number for a contactless card from a third party computing system; generate a card activation code for the contactless card, the card activation code being unique to the contactless card; generate a customer-specific uniform resource locator (URL) by appending the card activation code to a general URL, the general URL being associated with an entity of the system; transmit the customer-specific URL to the third party computing system with instructions to write the customer-specific URL into a wireless chip of the contactless card; associate the card activation code with the account number and information regarding a customer associated with the contactless card; and store the card activation code within the memory to be referenced during activation.

Privacy enabled inter-bank settlements and auditing of fund transfer has been addressed using private and shared databases in the blockchain. These are resource inefficient and incur additional overhead on banks to maintain the extra databases. These also pose some security concerns. A method and system disclosed leverages blockchain and Conditional Homomorphic Proxy Re-encryption (CH-PRE) to preserve the privacy of the customer information (balances and transfer amounts) and enables faster auditable settlement between the banks in the presence of governing body. Perform computations on encrypted data (customer balances and transfer amounts) to audit and validate the transaction data without revealing customer information such as balances. As customer balances and transfer amounts are stored in encrypted format, an attacker who is able to gain access to this encrypted data, will not be able to read the customer balances and transfer amounts, as the attacker does not possess bank's private key.

The invention relates to the technical field of information encryption, in particular to a customer information encryption protection method in a pork transaction process, which comprises the following steps of: based on pork transaction data, sequentially finishing key distribution path sorting and serial number verification, screening deviation in combination with customer operation behaviors, adjusting a sensitive field encryption strategy and replacing a key; and performing consistency verification on the identity data abstract combination, generating a signature according to the transaction content, and verifying a signature consistency result. In the invention, through a dynamic key path and inter-node sorting coding, real-time adjustment of a flow link is realized, transaction behavior data drives an encryption strategy to be switched in time, a sensitive field key can be dynamically updated along with the change of an operation characteristic, and segmentation consistency confirmation of a client identity is realized through multi-abstract combination cross verification; digital signatures are synchronously incorporated into double check of multi-source abstracts and transaction contents, and when behavior abnormity and node abnormity are found, related processes are actively interrupted, and risk marking is automatically completed.

Systems and methods for connecting a conference room to an ongoing meeting session are described. In an illustrative, non-limiting embodiment, a video bar of a conference room may include a processor; and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution by the processor, cause the video bar to: transmit a first signal advertising the availability of the conference room; receive a second signal from a client Information Handling System (IHS), wherein the second signal comprises an identification of an ongoing meeting session; and join the ongoing meeting session using the received identification.

The invention relates to the technical field of big data analysis, in particular to an operation management system and method based on financial marketing big data, and the system comprises a data standardization module, a customer portrait disambiguation module, a strategy matching module, a real-time transmission module and an operation strategy generation module. According to the method, a data table with a unified structure is constructed through combined judgment of field semantics and numerical rules, the data consistency is improved, customer information integration is executed based on field conflict time, credibility level and logic verification, the recognition accuracy is enhanced, and the matching relation is judged by combining the transaction amount, the product association degree and the interaction frequency with strategy attributes; according to the method, strategy dynamic screening is achieved, pushing content is screened according to the strategy emergency degree and the channel state, the transmission efficiency is improved, customer clicking, conversion and feedback participate in behavior trend judgment, strategy updating linkage is supported, an overall processing chain is of a closed-loop structure, and the fusion accuracy and the strategy response timeliness are improved under the conditions of data fragmentation and multi-source heterogeneous.

The invention provides a method for realizing contract intelligent analysis and maintenance based on image recognition, and relates to the technical field of image recognition, and the method comprises the steps: dividing contract information into contract basic information, customer information, contract object information and contract term information based on a purchase and sale contract template; key elements in the four types are further subdivided into different types, and attribute custom configuration of the elements is supported; the method comprises the following steps: forming a date format library, automatically identifying date data in various formats, converting the date data into formats required by contract maintenance, forming dictionary item configuration for common attributes in a purchase and sale contract, converting text data into standard dictionary item data, and customizing a data matching and conversion verification rule library; establishing a data verification rule, performing logic rationality verification according to contract terms after image recognition is completed, and providing verification result feedback; and in combination with a UML modeling method, page display elements are dynamically configured according to actual business requirements.

The invention belongs to the field of artificial intelligence, can be applied to the field of finance, and relates to a product recommendation method, which comprises the steps of classifying historical insurance policies according to a preset dimension, and generating a corresponding classification label for each classification category; matching the customer tags of the potential customers with the classification tags to obtain target classification tags; screening out a target customer group according to the target classification label; inputting the obtained target customer information of the target customer group and the target claim settlement case into a verbal skill recommendation model, outputting a target recommended verbal skill, pushing the target recommended verbal skill to potential customers, and receiving voice data fed back by the potential customers; recognizing the voice data to obtain recognized text data; and matching a target product based on customer demand information extracted from the identified text data, and recommending the target product to potential customers. The invention further provides a product recommendation device, computer equipment and a storage medium. In addition, the invention also relates to a block chain technology, and the client tag can be stored in a block chain. According to the method, clients can be accurately positioned, and the product recommendation effect is improved.

A school food and beverage recognition and processing system includes a self-checkout system that attaches to a school meal line. The self-checkout system uses multiple cameras to obtain images of a student for identification and images of a meal, identify contents of the meal, and determine whether the meal qualifies for reimbursement through a health program or agency. In addition to determining meal reimbursement qualifications, the self-checkout system tracks the meals and items sold for inventory and purchasing purposes. The self-checkout system sends reports to the school or administration agency including reimbursement information, inventory information, and customer information. This information is used to update a student's prepaid school meal account and track transactions.

A system and computer-implemented method of continuously updating information about one or more of a customer approved for a mortgage and a real estate property identified as mortgage ready. The method includes monitoring information accessed from a memory storage location corresponding to a customer identification number, the information used to determine the customer is approved for a mortgage, and receiving new information about the customer, the new information used to determine the customer is approved for a mortgage. The method also includes updating, at a memory coupled to the one or more processors, the memory storage location to include the new information. The method still further includes recalculating the amount in which the customer is approved for a mortgage based upon the new information received.

The invention discloses an automatic order sending system with an intelligent matching function, and the system comprises a data collection module which is used for collecting customer information, order information, service personnel information, and environment information; the data acquisition module is connected with a plurality of data sources, and obtains customer information such as basic information, historical order data, consumption habits and preferences of customers through an interface protocol; order information such as the type, the amount, the time, the emergency degree and the special requirement of the order is acquired; and service personnel information such as skill level, working experience, working time arrangement and service area preference of the service personnel is obtained. According to the automatic order sending system with the intelligent matching function provided by the invention, the technical aspect of the automatic order sending system with the intelligent matching function is remarkably improved. Through multi-dimensional data acquisition, the system can obtain more comprehensive and accurate information, and a solid data basis is provided for intelligent matching.

The invention discloses a customer information storage management method and system based on a block chain, and relates to the technical field of distributed data evidence storage, and the method comprises the steps: collecting terminal customer information, generating an encrypted data packet, carrying out erasure coding, and generating an encrypted data fragment set; carrying out distributed storage based on the encrypted data fragment set, and calculating a data availability commitment at the same time; executing availability sampling according to the data availability commitment, and generating a fragment validity proof; based on the fragment validity proof, performing format and validity verification to obtain a to-be-processed proof set; and generating a recursive aggregation proof according to the to-be-processed proof set, and submitting the recursive aggregation proof to the block chain to verify and update a proof storage state. And cryptographic authentication is carried out on the persistent evidence storage state of the data assets, so that the dual beneficial effects of ensuring data privacy and credible evidence storage are achieved.

The invention discloses a vehicle rental management system and device based on the Internet and a storage medium, and relates to the technical field of vehicle rental, and the system comprises a client management module which is used for collecting client information, and the client information comprises the personal information of a client and a vehicle rental demand; the vehicle management module is used for synchronizing the vehicle rental state to the rental management module and monitoring the vehicle use condition during the rental period; the lease management module is used for generating a lease scheme according to the vehicle lease demand and the vehicle use condition; and the data sharing interface module performs data exchange with a third-party system through an API interface, synchronizes business data generated in each link in the vehicle rental business process to the third-party system in real time according to the vehicle rental business process, and receives a business data processing result returned by the third-party system. According to the invention, the third-party system is integrated, so that the online vehicle rental business process and the real-time information intercommunication are realized, and the business cooperation efficiency is improved.

The invention provides a customer marketing method and device, electronic equipment, a medium and a program product, and can be applied to the technical field of big data and the technical field of artificial intelligence. The method comprises the steps of obtaining multi-dimensional customer information, and performing customer grouping based on the multi-dimensional customer information to obtain a target customer group; executing first marketing push based on the target customer group to obtain customer response information; on the basis of the customer response information, using a prediction model to carry out purchase willingness prediction to obtain a purchase willingness score; and generating a recommendation list based on the purchase intention score, and executing second marketing push based on the recommendation list.

The invention provides an AI-based customer service intelligent interaction method and system, and a medium. The method comprises the following steps: collecting attribute information and behavior track information of a target customer, processing to obtain a customer information portrait, extracting personalized demand information of the target customer according to the customer information portrait, executing intelligent interaction service based on the personalized demand information, monitoring an interaction service process in real time, collecting service state parameters, and sending the service state parameters to the target customer. Whether manual customer service switching needs to be executed or not is judged according to the service state parameters, intelligent interaction service in a preset time period is monitored, service index data is extracted, quantitative evaluation processing is conducted according to the service index data, a service reliability coefficient is obtained, the reliability of the intelligent interaction service is judged, and corresponding optimization measures are taken. Therefore, the AI-based customer service intelligent interaction technology is realized.

There is a system for admitting automobiles to a venue comprising: at least one camera for recognizing an automobile, and a license plate. A server is configured for receiving a picture of the automobile and a picture of the license plate of the automobile. Furthermore, there is at least one database for storing, matching and identifying the picture of the automobile and the license plate. In addition, there is at least one screen for allowing a user to identify their automobile taken from a list of automobiles. There is also a process for tracking an automobile within an area which comprises the steps of identifying a pre-defined area and identifying an automobile for screening into the area. Next the auto and its license plate are photographed. This information is stored in a database and then used to generate invoices and track the location of these automobiles. Customer can access the database, enter the license plate of his vehicle, the database recognizes his vehicle, the customer makes payment for his vehicle, and the app places the customer information onto the PAID category list on the database.

A method for managing customer information pertaining to an application associated with a provider. The method includes obtaining application information pertaining to the application, the application information including a location of origin for the customer information within the application and a location of termination for the customer information within the application. The method further includes generating a navigable application dashboard including an application mapping field providing a visual graphic depiction of the location of origin of the application and the location of termination of the application. The method further includes displaying, via a graphical user interface, the navigable application dashboard to a user.

The invention relates to a cold and hot data migration method and device, computer equipment, a readable storage medium and a program product, and relates to the technical field of software development. The method comprises the steps of obtaining customer information in response to a trigger operation for a front-end application; inputting the customer information into a pre-trained customer behavior prediction model to obtain a customer behavior prediction result; comparing the customer behavior prediction result with a cold and hot data knowledge graph to obtain associated data corresponding to the customer behavior prediction result and a predicted cold and hot data type of the associated data; generating a migration strategy for the associated data according to the actual cold and hot data type of the associated data and the predicted cold and hot data type; the migration strategy is used for migrating the associated data to a first memory where hot data is located or migrating the associated data to a second memory where cold data is located. By adopting the method, the identification accuracy of cold and hot data can be improved.

A system and method for outbound call campaign management model in a contact center using a generative artificial intelligence which processes prompts such as “Schedule a follow-up call with client X,” understanding intent and context. Leveraging pre-trained language understanding, it interfaces with campaign components, scheduling calls or updating client information. The model dynamically adapts to varying scenarios, enhancing efficiency and personalization. The system employs secure interfaces, integrates with contact center tools, and undergoes continuous improvement through periodic retraining, ensuring optimal performance and compliance with evolving campaign requirements. Overall, it streamlines outbound call operations, automating actions and facilitating smoother interactions for a more productive and customer-centric contact center environment.

The invention discloses a customer information updating and management method and system based on big data, and relates to the technical field of big data and customer relationship management. Comprising the following steps: firstly, collecting multi-source customer data and constructing a multi-dimensional time sequence characteristic panel; then, through sharing an integrated model of a bottom layer, synchronously predicting a dynamic life cycle value and a continuous loss risk probability of the customer; the network influence weight of the customer is quantified by using an influence penetration model and Monte Carlo simulation; further, fusing the three dimensions, and generating a resource allocation coefficient through a multi-objective optimization function based on a customer type dynamic configuration weight; and finally, automatically updating the customer label based on the coefficient, and combining atomic operations through a strategy arrangement engine to form personalized strategy workflow execution and closed-loop optimization. According to the method, the problems of static isolation and strategy lag of traditional customer information management are solved, and accurate insight of customer values and dynamic intelligent distribution of management resources are realized.

The invention provides a dynamic permission smart contract generation method and system based on data sensitivity self-adaption, and relates to the technical field of data security, the method comprises the following steps: classifying and marking multi-dimensional data in a business scene, and constructing a customer information classification matrix according to data types; based on data types of the client information classification matrix, sensitivity quantitative evaluation is carried out by utilizing a rule engine based on a decision tree, the engine takes a data use scene, a regulation constraint label and a timeliness weight label as input, a sensitivity result is judged and output according to a preset tree-shaped path, and a structured sensitivity level matrix is generated after all data types are traversed; and according to the data sensitivity level matrix, in combination with a preset post role permission rule, establishing a mapping relationship between data sensitivity and role permission, and generating a dynamic permission policy tree. According to the invention, through data classification and sensitivity evaluation, the data security is balanced and the protection capability is improved.

The invention provides an exhaustion report generation method and device, a storage medium and electronic equipment, and is applied to the technical field of artificial intelligence. According to the method, the key attribute information is extracted by acquiring the basic information, the risk information and the transaction information of the target customer, and the knowledge set related to the attributes is found by using the pre-constructed knowledge base and the vector index database. And then, calculating the similarity between the key attributes and the associated knowledge by using a cross coding algorithm, and sorting according to the similarity to obtain the most relevant knowledge. And the sorting result is used for constructing cue words for inputting a large language model, so that a more accurate and practical exhaustion note report is generated. According to the method and the system, the accuracy and the practicability of the exhaustion report are remarkably improved by combining specific customer information and rich associated knowledge.

The invention discloses a client information management method and system based on real estate transaction, relates to the technical field of client information management, and solves the technical problem that client information management cannot be evaluated according to a real-time product demand trend, so that client types cannot be distinguished according to different demand trend stages in the prior art. Specifically, a demand trend evaluation unit evaluates the demand trend of a real-time sales product, collects demand trend information, substitutes the demand trend information into a formula to obtain a demand trend evaluation coefficient in a real-time circulation stage, and deduces that the current circulation stage is in a purchaser market or a supplier market according to coefficient comparison; a customer stage analysis unit performs customer stage analysis according to the real-time circulation stage, obtains the speed-to-time ratio information of a supplier and the speed-to-time ratio information of a purchaser, deduces whether a current customer is a customer in a knowing stage or a customer in an intention stage according to information comparison, and correspondingly sends the customer to a customer information management platform; the label classification setting unit performs label classification setting on clients.

The invention discloses a business recommendation method and device, a program product and electronic equipment, and relates to the field of financial science and technology, and the recommendation method comprises the steps: collecting customer information of all customers in a business system, and determining a multi-dimensional index feature corresponding to each customer based on the customer information of each customer; based on the multi-dimensional index features corresponding to each customer, clustering all the customers to obtain a clustering result, the clustering result comprising a plurality of customer groups; performing dimension reduction operation on the multi-dimensional index feature corresponding to each customer to obtain a target index feature of a preset dimension; and based on the clustering result and the target index features, constructing a radar map, and based on the radar map, determining a to-be-recommended target customer group of each service so as to recommend the service to the corresponding target customer group. According to the invention, the technical problem that the customer group to which the service should be recommended cannot be accurately determined in the related technology is solved.

The invention discloses an intelligent customer obtaining method and system based on multi-modal data, and relates to the technical field of multi-modal data. Corresponding customer demand information is determined according to detection of a demand space; according to the content of the customer demand information, the information weight and the multi-modal data, multiple pieces of target data in the multi-modal data are determined, and the final customer obtaining path is determined based on the multiple pieces of target data, the enterprise database and the customer demand information, so that the accuracy of the customer obtaining path is improved. Therefore, the corresponding customer information is determined according to the detection of the customer obtaining node of the customer obtaining path, and the corresponding customer obtaining mode is matched based on the customer information and the customer demand information; and determining a corresponding customer obtaining number according to the execution of the customer obtaining mode, and triggering autonomous optimization of the customer obtaining mode according to the customer obtaining number and the execution condition of the customer obtaining mode until the customer obtaining number is greater than a preset customer obtaining number threshold value, so as to improve the intelligent customer obtaining effect.

Systems and methods for determining the distance, location, position, and orientation of devices in a conference room using a video bar are described. In an illustrative, non-limiting embodiment, a video bar may include a processor and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution by the processor, cause the video bar to: transmit a signal in a conference room; in response to the transmission, receive an acknowledgement from a client Information Handling System (IHS) in the conference room, and determine a distance between the video bar and the client IHS based, at least in part, upon a Time-of-Flight (ToF) calculation, where the ToF calculation is based, at least in part, upon a difference between: (i) a time the acknowledgement is received, and (ii) a time of the transmission.

The invention discloses a method and a system for accurate operation of customers in a direct jurisdiction group, relates to the technical field of sales operation, and mainly solves the problems of low sales efficiency, poor customer satisfaction and high marketing cost. The method for accurate operation of customers in the direct jurisdiction group comprises the following steps: sorting and analyzing customer information; making a marketing activity strategy; determining a target customer group; the product is positioned and served; maintaining and managing customer relationships; the marketing effect is evaluated and optimized, and the direct jurisdiction group members are accurately matched for the customer group through a prediction evaluation algorithm, so that the sales conversion rate is improved; personalized recommendation and service are generated by analyzing customer data, so that customer satisfaction and loyalty are improved; and marketing advertisements and promotion activities are accurately put through a dynamic analysis algorithm, so that the marketing cost is reduced.

The invention provides a multi-level derivation engine analysis method for an AI work card audio text. The method comprises the following steps: configuring analysis models of different service types; acquiring an audio text acquired and transferred by the AI work card; according to the business type, selecting a corresponding analysis model to analyze the audio text; an analysis task is established and executed, and different working threads are responsible for task scheduling, task timeout management and task state derivation in parallel; and obtaining an analysis result of the audio text. According to the method, the multi-stage derivation state is adopted in the analysis process, the coupling is reduced, and the state consistency is enhanced; the extraction efficiency of customer information is effectively improved, and manual intervention is reduced; in practical application, the accuracy of information extraction is improved by at least 30%, and the customer insight ability of the consultant is enhanced.