30 results about "Client status" patented technology

The invention relates to the technical field of artificial intelligence and data processing, and discloses a digital customer value evaluation method and system based on artificial intelligence, and the method comprises the steps: obtaining customer behavior data, and processing the customer behavior data into a behavior vector sequence; calculating a customer behavior entropy representing the uncertainty of the next behavior of the customer and evaluating a potential value interval representing the value tendency so as to jointly form a two-dimensional dynamic state of the customer; according to the two-dimensional state, a differentiated intervention strategy mode is determined through a value gating decision-making mechanism, and an execution intervention action is generated; and tracking an intervention effect through a closed-loop feedback link, and carrying out self-optimization updating on a model in the system. According to the method, accurate and multi-dimensional dynamic perception can be carried out on the customer state, differential intervention is realized, the effectiveness of decision making is continuously improved through self-learning, and the automation and intelligence level of customer operation is remarkably improved.

The embodiment of the invention provides a multi-source heterogeneous data processing method and device, equipment, a medium and a product, and relates to the field of artificial intelligence or the field of financial science and technology. A dynamic knowledge graph is constructed by acquiring multi-source heterogeneous data including customer-related data from different data sources and having different formats or structures, and multi-task processing of customer loss prediction, product recommendation and compliance detection is performed on the dynamic knowledge graph through a graph neural network. According to the method, the dynamic knowledge graph which can be updated in real time is constructed, and the graph neural network is combined to realize multi-task processing, so that the problem that an existing service system depends on a static label system and cannot meet dynamic change of customer requirements is solved, dynamic perception of customer states is realized, and customer experience is improved. The processing precision and efficiency of tasks such as customer loss prediction, product recommendation and compliance detection are effectively improved, and reliable data support is provided for business decision making.

The invention discloses a customer relationship maintenance optimization system based on comparative learning, and the system comprises a data collection and preprocessing module which is used for collecting and preprocessing multi-source behavior data associated with a target customer; the customer characterization module is used for training the standardized customer data set by adopting an improved MoCo-v3 contrast learning method to generate a customer characterization model; the customer state analysis module is used for carrying out feature coding, similarity calculation and state marking on the target customer; the maintenance instruction generation module is used for determining maintenance content and an execution mode based on the client state information; the model updating module is used for collecting actual response behavior data and performing incremental training on the customer characterization model; and the maintenance optimization module is used for outputting a customer relationship maintenance optimization result based on the updated customer characterization model. According to the invention, the improved comparative learning method is adopted to realize the intelligent maintenance of the customer relationship, and the method has the advantages of accurate feature representation, adaptive strategy optimization and high maintenance efficiency.

The invention belongs to the technical field of artificial intelligence, and relates to an artificial intelligence-based strategy generation method, which comprises the steps of converting first utterance data input by a student into a semantic vector, and combining the semantic vector with a customer state space of a virtual customer to obtain an initial state representation; performing verbal skill action strategy selection on the initial state representation based on a deep reinforcement learning network to obtain a target verbal skill action; updating the client state space based on second utterance data corresponding to the target verbal skill action and preset dimension information to obtain a target client state space; and if the current dialogue meets the ending condition, performing feature extraction on the target customer state space to obtain a state feature, and when a target dialogue scene matched with the state feature exists in the historical dialogue scene feature library, obtaining a verbal strategy corresponding to the target dialogue scene and pushing the verbal strategy to the student. The method can be applied to a strategy generation scene in the financial science and technology field, and can intelligently and accurately provide a real-time verbal strategy for students.

The invention discloses a dynamic limb interaction method and system for an electric power intelligent service virtual digital human, and relates to the technical field of fusion of virtual digital human intelligent interaction and an electric power service system.The method comprises the steps that customer multi-source information is collected, and in combination with limb behavior actions, interaction intentions and customer state tags are extracted; analyzing the semantic tag and the state tag, judging operation logic according to a business rule, and generating a candidate limb action sequence; and iteratively adjusting the action output parameters according to the client interaction feedback data, and generating and executing the digital human action corresponding to the semantics. According to the method, client intention and state labels are extracted through multi-source data fusion, a candidate action sequence is generated in combination with power business logic, action output is iteratively optimized based on a reinforcement learning strategy network, and finally dynamic limb interaction highly matched with client semantics and states is achieved. The defects of perception, decision making and adaptability in the prior art are overcome, and the refinement and humanization level of intelligent services is improved.

The invention relates to the technical field, in particular to a customer data digital management method and system based on a CRM system, and the method comprises the steps: carrying out the deep integrated non-inductive collection of multi-source heterogeneous data generated by the interaction of customers through a mobile terminal; automatically matching the data with CRM customer information and associating the data with a corresponding customer digital file; performing automatic analysis on the interaction data based on a pre-configured business rule set, and judging a sales follow-up behavior state and compliance; responding to a judgment result, automatically triggering a client management instruction, updating a client state or generating an intervention signal. Multi-source data intelligent acquisition is realized through deep integration of the mobile terminal, full-course digitization and intelligentization of customer data management are realized in combination with automatic matching, rule-driven analysis and a real-time execution mechanism, the accuracy of data integration and the efficiency of sales follow-up are remarkably improved, and the manual intervention cost and the management risk are effectively reduced.

A system for AI-driven multi-bank payment orchestration with secure real-time transaction processing and regulatory compliance management, wherein the system (100) comprises: a transaction capture and normalization module (1) configured to receive transaction requests from a variety of banks, payment service providers, merchants, customer channels and enterprise interfaces and generate a normalized transaction profile that includes transaction amount, currency, originating bank, destination bank, sender's responsibility, recipient's responsibility, transaction time, payment channel availability and contextual metadata;a module (2) for monitoring the state of the multibank payment network, configured to maintain a dynamic representation of the participating banks, payment channels, settlement corridors, liquidity availability, processing costs, congestion levels, probability of default, and predicted settlement latency; a federated engine (3) for modeling fraud risk, configured to generate fraud risk assessments for combinations of transactions and routes by using privacy-compliant, cross-bank model learning without transferring raw transaction data between participating banks;an AI-based regulatory compliance check engine (4) configured to assess jurisdiction-specific regulatory requirements, sanctions restrictions, anti-money laundering thresholds, Know Your Customer status, payment route authorization rules, and policy version data prior to route execution; an augmented learning adaptive routing engine (5) configured to select an optimized payment route from the eligible routes based on settlement latency, costs, liquidity, fraud risk, and compliance risk; a secure real-time transaction execution controller (6) configured to execute the selected payment route through one or more banking interfaces and payment channels, enforcing authentication, encryption, authorization, and transaction status monitoring;and a blockchain-based audit and regulatory traceability layer (7) configured to generate immutable audit records corresponding to routing decisions, fraud checks, compliance checks, execution events and regulatory reporting events, with the fraud risk assessment and compliance eligibility output being used as active decision inputs for selecting the payment route prior to transaction execution.

The invention discloses a customer resource allocation inheritance method and system oriented to enterprise WeChat and a medium. The method comprises the following steps: constructing a rule pool comprising a triggering condition, a filtering condition and a receiver matching rule; periodically monitoring customer states and automatically marking to-be-inherited customers; an optimal inheritor is intelligently screened for the to-be-inherited client through a rule matching engine; calling an enterprise WeChat interface to execute customer resource transfer and synchronize related data; and establishing an inheritance tracking and feedback mechanism. By constructing the configurable customer inheritance rule pool, intelligent customer inheritance under multiple scenes is realized, the problems of low customer resource allocation efficiency, dependence on manual operation and the like caused by employee demission, customer idling and the like in existing enterprise WeChat customer management are solved, automation and intelligence of a customer inheritance process are realized, and the customer resource allocation efficiency is improved. And the redistribution efficiency and accuracy of the customer resources are obviously improved.

Systems and methods are provided for providing references to additional services solicited by a client relating to transactions (e.g., real estate or other transactions) and / or other information from engagement platforms and other applications. Centralized systems and related methods for providing such references interact with a user interface with dynamic data display, client status and agent rating features, and customizable and interactive elements, and are used to facilitate providing such references, resulting in enhanced service management, improved communications, quality assessments and feedback, centralized information access, adaptability and customization, and progress tracking, and which can be used by human and / or artificial intelligence agents to enhance the particular application.

A secure computer network is described, within which a routing node interacts with multiple client nodes each assigned for local user use. The client nodes each periodically report operating data for the client node reflecting (a) a level of availability of the client node to perform external requests, (b) a level of availability on the client node of each of multiple software modules, and / or (c) a predicted level of performance of the client node in executing each software module. The routing node receives this operating data, and uses it to update a client status resource for each of the client nodes. When it receives a request identifying a software module and input data, it uses the contents of the client status resource to select a client nodes, to which it causes the request to be delegated to execute the identified software module upon the input data to produce execution results.

An object of a system according to an embodiment is to simultaneously improve a knowledge level and a service skill level of a crew.SOLUTION: A system includes a customer situation input unit, a talk generation unit, and an information inquiry generation unit. The customer situation input unit inputs a situation of a customer. The talk generation unit generates a talk of the high acquisition crew on the basis of the customer situation input by the customer situation input unit. The information query generator generates a necessary information query together with the token generated by the token generator.SELECTED DRAWING: Figure 1

A system and method for automatically transitioning between carrier and IP messaging that can include receiving a messaging request specifying a destination endpoint for a message, retrieving client status of the destination endpoint from a client application registry system, determining, based on whether the client application is reachable using an IP-based communication protocol and on features supported by the client application, a messaging protocol option selected from one or more carrier-based communication options and one or more IP-based communication options, and transmitting the message to the destination endpoint using the selected messaging protocol option.

The invention relates to the field of artificial intelligence, can be applied to the fields of finance and medical treatment, and discloses a speech generation method, device, equipment and medium for coping with customer apathy response, and the method comprises the steps: obtaining a target sales strategy matched with a customer state recognition result from a sales strategy library when it is determined that a customer is in an apathy state; a sales promotion prompt template and a guide question are obtained through the target sales strategy, the historical dialogue text and the guide semantic slot position set, and then customer interest contour information is obtained through customer feedback information corresponding to the guide question; and inputting the historical dialogue text, the customer state recognition result, the sales promotion prompt template and the customer interest contour information into a pre-trained large language model to obtain a target verbal skill output by the large language model. According to the method, the semantic understanding capability, the context sensing capability and the sales strategy knowledge of the large language model are fused, so that the verbal skill content output by the large language model is optimized, and the sales success rate is improved.

The invention relates to the technical field of coupon generation, and discloses a dynamic coupon generation method and system, and the method comprises the steps: collecting the historical behavior data of a customer, building a state vector, and initializing the state information of the customer; setting a coupon strategy variable based on the customer state; constructing a cost and response benefit function, and establishing an optimization target model of the coupon strategy; solving the objective function through a numerical optimization method to obtain an optimal coupon strategy path; generating coupon information according to the strategy path, and binding the coupon information to the client identity label; the system comprises a data source module, a data cleaning module, a feature engineering module, a strategy engine module, an optimization module, a coupon code generation module and a distribution module. According to the technical scheme of constructing the customer state vector model based on the customer historical behavior data, a more accurate coupon strategy generation effect is achieved, personalized coupons can be customized for each customer, and the utilization rate of the coupons and the satisfaction degree of the customers are improved.

This invention discloses a dynamic management system for DingTalk Stream mode in a multi-tenant scenario, comprising a configuration access layer, a core control layer, and a resource support layer. The configuration access layer includes a configuration management module and a manual control module. The core control layer includes a configuration listening module, a health check module, an event bus module, and a client factory module. The resource support layer includes a resource management module, a multi-tenant client pool module, and a log recording module. A ConcurrentHashMap client pool with tenant ID as the key is used to achieve independent storage and thread-safe access for each tenant client instance. Through collaboration between modules in the core control layer, automatic creation, updating, and destruction of clients driven by configuration changes are achieved. Automatic monitoring of client status is achieved based on timed heartbeat monitoring and event-driven mechanisms. On-demand resource allocation is achieved through expansion / contraction mechanisms and resource quota management, while a resource early warning mechanism is also added.

The invention discloses a customer data-driven precision marketing activity generation method and system, and relates to the technical field of customer data processing and precision marketing, and the method comprises the steps: fusing text, image and behavior sequence data through a multi-modal feature extraction technology, and generating an enhanced customer portrait vector; in combination with a dynamic decision-making mechanism of a reinforcement learning agent, a customer state is mapped into a quantifiable marketing action tuple, and real-time accurate adaptation of a marketing strategy is realized; a closed-loop optimization architecture from strategy execution to feedback capture is constructed, and a value function is continuously updated by utilizing a customer response behavior, so that the defect of strategy adjustment lagging of a traditional system is overcome. And finally, the adaptability of a marketing strategy is enhanced while the customer portrait accuracy is improved, and the whole technical scheme naturally has a cross-channel collaborative execution capability, so that full-process automation support is provided for precise marketing activities.

The embodiment of the invention provides a latent guest mining method and related equipment, and belongs to the technical field of latent guest identification. The method comprises the steps of obtaining platform behavior data of a first object; the platform behavior data is obtained by performing identity unification on original behavior data which are obtained from a plurality of different platforms and are associated with the first object; performing feature extraction according to the platform behavior data to obtain a car purchase behavior feature and a social behavior feature of the first object; the vehicle purchase behavior characteristics are related to individual vehicle purchase behaviors; the social behavior characteristics are related to group vehicle purchasing behaviors; determining an individual purchase intention of the first object based on the car purchase behavior characteristics; determining a group purchase impact of the first object based on the social behavior features; analyzing based on the individual purchase intention and the group purchase influence, and determining the customer state of the object; according to the embodiment of the invention, the automobile sales conversion rate can be effectively improved through the technical means of unification of multi-platform data identities and individual group double-aspect analysis.

A client-side state management system for a lithography machine is provided. This system includes: a system state module for configuring system states; an object management module for maintaining pointers to interface object instances based on system state changes, wherein the interface object instance pointers are associated with system state changes through registration and removal; and a control operation module for setting control operation modes based on task IDs according to system state changes. By managing system state changes through an object management module independent of system state, and setting control operation modes by the control operation module when system state changes, the efficiency and rationality of user task execution are improved.

The invention discloses a method for supporting real-time development of marketing activities, and the method comprises the steps: enabling branches to autonomously maintain activity numbers, standard judgment types and white list data through a branch intelligent management platform which comprises a data storage module, a parameter checking module, a judgment execution module and an interface calling module; when a customer participates in an activity, a head office platform forwards a standard judgment transaction to a branch system, after the branch system checks parameters, judgment is executed in three types including white list judgment, real-time judgment and white list and real-time judgment, whether the customer is in a white list or not is judged and verified in the white list, and the state of the customer is verified by calling an external interface in real time. According to the method, the problems of slow response and incapability of real-time judgment of the head office are solved, the activity period is shortened, and the marketing efficiency is improved.

Provided are a system, a method, and a program of banking operation support for supporting execution of accurate and efficient banking operations. A control unit (21) of a support server (20) acquires external state information, a financial transaction condition, customer state information, and a financial transaction state of the same time period, from a back-end system (40); performs machine learning using a data set made up of the acquired pieces of information as learning data, and generates a customer action prediction model which associates the financial transaction condition with the financial transaction state; and calculates, for a current external state and a current customer state, a financial transaction condition corresponding to a target value of a transaction state using the customer action prediction model.

The user can easily send the most suitable message and gift to each specific customer based on the acquired customer information. [Solution] A gift sending system 1 is provided that works in conjunction with a customer management system 200 and includes an acquisition unit 121 that acquires user customer information, including customer status, from the customer management system 200, a policy generation unit 122 that generates customer policies, including sending messages and gifts, for each specific customer based on the customer information, and a policy execution unit 124 that executes the customer policies.

The invention discloses a client state determination method and device and a computer program product. Relates to the field of financial science and technology, and the method comprises the steps: obtaining N static feature data and K dynamic feature data of a to-be-evaluated customer, each static feature data being data representing customer information of the to-be-evaluated customer, and each dynamic feature data being financial feature data of the to-be-evaluated customer changing with time; inputting the N static feature data into a first evaluation model, processing to obtain a first index, inputting the K dynamic feature data into a second evaluation model, and outputting a second index; and obtaining a preset weight, performing weighted calculation on the first index and the second index based on the preset weight to obtain probability data of the to-be-evaluated customer, and determining the state of the to-be-evaluated customer based on the probability data. Through the method and the device, the technical problem of low evaluation precision during evaluation of the state of the customer in related technologies is solved.

The invention relates to the technical field of big data analysis, in particular to a strategy generation and management and control method based on experience integration, which comprises the following steps of: analyzing interaction information of sales crowd and a plurality of customers in real time, and extracting key verbal skills, coping strategies and emotion management nodes; constructing a causal knowledge graph between the key sales behavior of the sales crown and the forward result, and constructing a knowledge base; based on customer data collected by a causal knowledge graph and an enterprise customer management system, the crown sales experience is decomposed according to the following rules: a target setting rule, a customer state diagnosis rule and a strategy matching rule; and converting the unstructured crown sales experience into an executable decision tree through a rule engine to form an AI coach mode. According to the method, intelligent structured analysis can be carried out on sales experience of sales crowns, experience integration is carried out, and therefore efficient and accurate sales strategies are provided for other sales personnel.

To provide a message disclosure system for giving a sense of security and satisfaction to a person who receives a message by disclosing the message from an insurance contractor or an insured person to an insurance money receiver when a prescribed event occurs in the insurance contractor or the insured person.SOLUTION: In a message disclosure system 1 consisting of one or a plurality of servers for storing, managing and disclosing the status information data and message data of the first customer, the server includes at least a storage part, an arithmetic part and a disclosure processing part, and the arithmetic part registers the event information acquired by an event acquisition means in a customer information database by a customer status storage / management means. When the event information is a fixed value, a disclosure propriety determination means determines the propriety of the disclosure of the message data to the second customer, and when it is determined that the disclosure is possible, instructs a disclosure processing part to perform disclosure processing of the message data to the second customer.SELECTED DRAWING: Figure 1

The invention provides a customer state prediction method and device based on a Bayesian network, equipment and a medium, and relates to application of a machine learning model in the field of financial science and technology. The customer state prediction method based on the Bayesian network comprises the following steps: acquiring first service data of a target customer in a first time period; inputting the first service data into a pre-trained Bayesian network model to obtain a first probability that the target customer is in each target state at the first time node; based on the first probability of each target state, determining a service intervention operation for the target customer; and in response to execution of the service intervention operation, obtaining second service data of the target customer in a second time period, and inputting the second service data into a pre-trained Bayesian network model to obtain a second probability that the target customer is in each target state at a second time node.

A method for call processing includes: receiving a first incoming telephone call from a first person; retrieving historical information that relates to the first person; forecasting, based on the historical information, a next customer state that relates to the first person; and estimating, based on the forecasted next customer state, a potential duration of the first incoming call. The estimated call duration is then usable for assigning a priority to the first incoming call and determining an order of handling the first incoming call with respect to each of a plurality of other incoming calls based on the assigned priority.

This invention discloses a cross-platform configuration synchronization method and system based on a proprietary synchronization protocol, comprising: a client sending a network access request message; a server dynamically generating configuration information and sending it to the client; the client applying the configuration information and returning a confirmation message; the server updating the node list and notifying the control terminal of node status changes; the server periodically sending heartbeat request messages to online clients based on a timer and receiving corresponding heartbeat response messages, monitoring the client status through a multi-level timeout detection mechanism, and synchronizing status changes to the control terminal in real time; the control terminal sending a configuration modification message to the server; the server verifying the modification, updating its local configuration, and broadcasting a configuration update message using an incremental update mechanism to all online clients. This invention proposes a three-in-one role architecture of control terminal, server, and client, achieving efficient cross-role communication and collaborative work through the JYTL proprietary protocol, solving the core pain points of traditional distributed device management systems.

A system and method for automatically transitioning between carrier and IP messaging that can include receiving a messaging request specifying a destination endpoint for a message, retrieving client status of the destination endpoint from a client application registry system, evaluating the client status of the destination endpoint for use of a client application, and depending on whether the client status is being active or inactive, transmitting the message either to the destination endpoint or the client application associated with the destination endpoint.

The invention discloses an intelligent running visit journey optimization method for terminal business personnel, and particularly relates to the field of visit journey optimization, and the method comprises the steps: collecting target customer state data, current execution dynamic data of a salesman and external environment change data in real time, and recognizing business abnormal dynamic data based on target journey decision data and a preset rule; calculating a comprehensive priority score of each customer based on the business abnormal dynamic data, sorting the scores from high to low, and planning an initial optimal visiting route in combination with the real-time positions and road conditions of salesmen; continuously monitoring the target travel decision data, updating the comprehensive priority score of the customer in real time when an exception is found, locking the current customer with the highest value according to the updated comprehensive priority score of the customer, and recalculating and pushing an optimized route; and pushing the optimized route to a salesman terminal, labeling the abnormal customer, and realizing a complete closed loop of data acquisition, matrix operation, feedback execution and parameter iteration.

A method and apparatus are provided that enable a SEALDD server to provide a SEALDD client connection status to a VAL server. The method comprises: a SEALDD server receiving a subscription to a notification of a SEALDD client connection status from a VAL server, and in response to receiving a subscription request, the SEALDD server configuring the SEALDD client to report the SEALDD client connection status, the configuration includes a flow identifier whose report is requested, and a reporting mode or priority of the SEALDD client for reporting the SEALDD client connection status. A SEALDD client status notification is sent to the VAL server after the SEALDD server processes a report from the SEALDD client, and optionally a report from a NEF in a telecommunications network, such as a 5G core network or a 6G core network, and / or a UE-related event report from network resource management of the SEAL layer.