14 results about "Client status" patented technology

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 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 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.

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.

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.

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 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.

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 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.