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92 results about "Customer Service Assurance" patented technology

Customer Service Assurance (CSA) in telecom and Internet services means the collection of Communications Service Provider (CSP) customer usage information from all practical sources including network traffic, network devices, content servers, management databases and user devices to ensure customer service quality is consistent with CSP expectations.

Customer service access method and system and access equipment

The invention discloses a customer service access method, a customer service access system and access equipment. The method comprises the following steps of: receiving a first message sent by a family gateway, wherein the first message carries a customer virtual local area network identifier matched with the first message; acquiring a service virtual local area network identifier matched with the first message according to characteristic information of the first message; establishing a mapping relation of the customer virtual local area network identifier and the service virtual local area network identifier according to the customer virtual local area network identifier and the service virtual local area network identifier; and sending the first message to a network corresponding to the service virtual local area network identifier according to the customer virtual local area network identifier and the service virtual local area network identifier. According to the embodiment of the invention, the mapping relation of the customer virtual local area network identifier and the service virtual local area network identifier is not required to be pre-set on the access equipment, so that the access configuration is simplified when a customer service is opened up; errors are difficult to make; and the service smoothness is guaranteed.
Owner:HUAWEI TECH CO LTD

Cloud customer service platform based on cloud computation and network video conference

ActiveCN105262977AChange the way of single-voice communicationRealize massive data processingTelevision conference systemsTwo-way working systemsSoftware as a serviceSystem construction
The invention discloses a cloud customer service platform based on cloud computation and a network video conference. The platform is formed by a client terminal, an enterprise customer service terminal, an enterprise administrator terminal, a platform administrator terminal, a network video conference system, a cloud customer service system and a distributed cloud platform. By using the platform of the invention, problems that existing customer service system construction and operation cost is high and a customer service mode of a customer service system is single are solved. The invention provides a cloud customer service based on software which is the service. Different enterprises can access the cloud customer service platform. The customer service system is constructed in a one key mode, and a lot of resources and funds are not needed to invest for construction. The customer service system provides customer service seats and the enterprises only need to recruit corresponding customer service personnel to provide the customer service. The cloud customer service provided in the invention is cloud seats based on a network video conference technology. The cloud customer service seats provide abundant customer service modes. A client experience is greatly increased, and product consultation and after-sales service quality are improved.
Owner:YANCHENG YOUYIN INFORMATION TECH CO LTD

Customer service strategy making method and device based on random forest and decision-making tree

The invention discloses a customer service strategy making method and device based on a random forest and decision-making tree. The method includes: acquiring the value features of a sample customer,performing quality discrimination, and the using the sample customer data to build a high-quality customer identification model on the basis of a random forest and decision-making tree algorithm; inputting the value features of a to-be-identified customer into the high-quality customer identification model to obtain high-quality customer identification results of different definitions; acquiring the service requirements of the sample customer, and performing standardized classification analysis to build a service requirement library; matching the service requirements in the service requirementlibrary with service content, matching the service content with the high-quality customers of different definitions, and building a service strategy library; searching the service strategy library according to the high-quality customer identification results to obtain the service strategy matched with a current customer. The customer service strategy making method has the advantages that high-quality customers can be precisely positioned on the basis of big data, and the analysis results of user power use service requirement analysis are used to make personalized and value-added service products and service strategies.
Owner:STATE GRID SHANDONG ELECTRIC POWER

Power grid task type dialogue system

The invention discloses a power grid task type dialogue system, and relates to the field of customer service systems. A 95598 power supply service hotline is mainly based on manual service, the efficiency is low, and work orders are not distributed in time. The system comprises a command analysis service module, a dialogue management service module, a model training service module, a front-end service module and the like. The command parsing service module provides a developer to complete system development, model training management and command parsing interface functions; the dialogue management service module provides a service interface for calling the task type dialogue robot system; the model training service module is mainly used for training a command parsing algorithm model; the front-end service module defines a supporting intention for the task type dialogue system, adds a word list, defines semantic slot parameters, labels corpora and manages model training tasks in an interaction mode. An electronic intelligent response system is constructed through natural language processing and fused with an existing label result to apply specific scene planning, a preset problem isprovided, the retrieval range is narrowed, the service efficiency is improved, and the problems existing in an existing service hotline are solved.
Owner:STATE GRID ZHEJIANG ELECTRIC POWER CO MARKETING SERVICE CENT

Customer service strategy making method and device based on random forest and logistic regression

The invention discloses a customer service strategy making method and device based on random forest and logistic regression. The method comprises the following steps that: obtaining sample customer value features, and carrying out high-quality discrimination; adopting sample customer data, and constructing a high-quality customer identification model on the basis of the random forest and a logic regression algorithm; taking the value feature of a customer to be identified as input, and judging whether the customer is a high-quality customer or not; obtaining the service requirement of the sample customer, and carrying out standardized classification analysis to establish a service requirement library; matching service requirements in the service requirement library with service contents, matching the service contents with different levels of high-quality customers, and establishing a service strategy library; and on the basis of the service requirement library and the service strategylibrary, according to a high-quality customer identification result, automatically matching with a service strategy. By use of the method, the accurate positioning of the high-quality customer is realized on the basis of big data, and the analysis result of the service requirement analysis is combined to make a personalized and value-added service product and service strategy.
Owner:STATE GRID SHANDONG ELECTRIC POWER

Intelligent customer service method, electronic device and a computer readable storage medium

The invention discloses an intelligent customer service method, and belongs to the field of semantic recognition. The intelligent customer service method comprises the following steps of: S1, constructing a standard knowledge base; S2, constructing a synonym library; S3, receiving a service session request of a customer and creating a customer service session with the customer; S4, analyzing content of the customer service session to obtain an analysis result of the customer service session; S5, searching a standard question matched with the analysis result from the standard knowledge base according to the analysis result; and S6, positioning a dimensionality where an answer associated with the standard question is located, and pushing the answer associated with the standard question on the dimensionality. Through adding dimensionalities in the knowledge base, one standard question can be associated with a plurality of different standard answers on different dimensionalities, and on such basis, answers according with own situations of customers can be given according to specific affiliating regions of customers or used equipment, so that the customer experience is improved and thepressure of artificial customer service is lightened.
Owner:PING AN TECH (SHENZHEN) CO LTD

Artificial intelligence customer service to manual customer service call method

The invention discloses an artificial intelligence customer service agent to manual customer service agent call method, which comprises the following steps: an external call template is preset; the contact data of a target customer is imported; an artificial intelligence customer service agent initiates a call; the artificial intelligence customer service agent judges whether the call gets throughor not; the artificial intelligence customer service agent makes a next call if judging that the call does not get through; the artificial intelligence customer service agent talks to the customer ifjudging that the call gets through; the artificial intelligence customer service agent concurrently judges whether the dialogue can continue or whether the dialogue exceeds a set time; if the dialogue cannot continue or exceeds the set time, the customer is connected to a manual customer service agent for manual service; if the dialogue can continue or does not exceed the set time, the artificialintelligence customer service agent serves the customer until the end of the dialogue; and finally, the artificial intelligence customer service agent or the manual customer service agent records theintention information of the customer. The method can greatly reduce the number of customer service agents needed, enhance the customer service efficiency and standardize the customer service process. Moreover, the method can make problem solving and intelligent service perfectly compatible through the transfer to manual customer service.
Owner:浙江思考者科技有限公司
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