366results about "Customer relationship" patented technology

An AI-based energy edge platform is provided herein with a wide range of features, components and capabilities for management and improvement of legacy infrastructure and coordination with distributed systems to support important use cases for a range of enterprises. The platform may incorporate emerging technologies to enable ecosystem and individual energy edge node efficiencies, agility, engagement, and profitability. Embodiments may forecast, plan for, and manage the demand and utilization of energy in greater distributed environments. Embodiments may use AI, IoT, and technologies that filter, process, and move data more effectively across communication networks. Embodiments of the platform may leverage energy market connection, communication, and transaction enablement platforms. Embodiments may employ intelligent provisioning, data aggregation, and analytics.

A system and method are disclosed for tracking and verifying authenticity, loss, fraud, or unauthorized use of assets within a supply chain. The method includes scanning a multimodal tag (e.g., QR code and NFC tag) associated with an asset to generate scan data comprising a hash code, asset identifier, and verification URL. The scan data is transmitted to an application server of a parent organization, where a controller retrieves associated location and organization identifiers. The controller determines authorization status, compares the hash code with reference values in a verification database, and performs authenticity checks to classify the asset as genuine, lost, duplicated, or pirated. The system integrates with a CRM platform to register new child organizations using data synchronization objects comprising payloads, callout instructions, and error handling. AI-based analysis may detect route deviations, fraudulent insertions, or asset misuse patterns based on route history and scanning behavior.

The invention discloses a customer complaint work order automatic circulation system and method based on composite intention disassembly. The system receives and preprocesses the multi-mode customer complaint data and initializes a service circulation context; business intention identification and business key slot position extraction are carried out; disassembling the composite business intention, and constructing an ordered work order execution queue of a directed acyclic graph structure through cyclic dependence verification; evaluating the work order circulation action with the maximum expected cumulative income by using a reinforcement learning model; when business knowledge query is involved, compliance evidence fragments are retrieved, sorted and output; and generating a candidate reply and a business operation instruction by the fine-tuned large language model, outputting the candidate reply after business compliance verification, and calling an API (Application Program Interface) of an underlying business system to execute entity business handling operation in a cross-system manner. The problems of data interaction and state synchronization among multi-source heterogeneous systems are solved, the automatic execution efficiency of the composite work order at the bottom layer node is improved, and the system unauthorized and dirty data risks caused by an uncertain instruction are effectively avoided.

The embodiment of the specification provides a gas operation method and an Internet of Things system based on a smart gas call center. The method comprises the following steps: acquiring gas user call data of the call center; predicting demand information of different types of users based on the gas user call data, wherein the demand information at least comprises gas product demand and gas service demand; determining and pushing gas operation push features based on the demand information of different types of users, wherein the gas operation push features comprise push type features and push content features.

The invention provides a power grid online channel operation method based on multi-dimensional fusion identity and flywheel fission, and the method comprises the steps: obtaining the multi-dimensional identity information of a user, carrying out the fusion processing of the multi-dimensional identity information, and forming a unified user identity identifier; establishing a user tag system containing industry exclusive tags, and carrying out real-time circling selection on users based on the user tag system and a preset circling selection rule to generate a target user group; and initiating a marketing activity to the target user group. Executing the marketing activity on the basis of a multi-level cache mechanism, performing real-time acquisition, analysis and visual display on full-life-cycle data of the marketing activity, and performing iterative optimization on a strategy of the marketing activity according to an analysis result; therefore, the user identification accuracy can be improved, the marketing strategy can be dynamically optimized, the fission conversion efficiency can be improved, and the system response capability can be enhanced.

The invention relates to the technical field of digital data processing, in particular to an automatic session quality detection method applied to a customer service scene. The detection method comprises the following steps: model training: selecting an LLaMA pre-training large language model as a core engine, and guiding training by means of cue words with session key element extraction and semantic consistency comparison functions; judging the format of the target session data to be subjected to quality detection, and converting the voice format into a text format; performing key element extraction and comparative analysis on the session data in the text format by means of the trained model; consistency comparison is carried out on the robot reply and a corresponding standard reply in a knowledge base; verifying whether business data contained in the robot reply is consistent with real data of a back-end business system; and generating a detailed report of the quality inspection result. Defects are accurately recognized, understood and expressed by means of the large model reasoning ability, and robot reply and a semantic verification closed loop of a knowledge source are achieved.

A hub-and-spoke architecture for bidirectional connections between a first vendor and a second vendor, wherein the second vendor functions as a partner on a spoke to the first vendor functioning as a hub, an event-based architecture configured to transmit data between the first vendor and the second vendor based on a predefined event, a metadata sharing module configured to share authorized organizational metadata between the vendor and the one or more partners, wherein the metadata sharing module enables the first vendor to submit a request for access to one or more requested data fields from the second vendor, enables the second vendor to approve the request, to identify one or more corresponding data fields corresponding to the one or more requested data fields, and to integrate the granted data fields into the vendor's CRM system.

Various embodiments relate generally to data science and data analysis, computer software and systems, and computing architectures and data models configured to facilitate management and performance of enterprise functions, and, more specifically, to an enterprise computing and data processing platform configured to implement applications and computerized tools configured to facilitate implementation of an enterprise data model to generate and manage component data objects representing enterprise tasks and processes, as well as portions thereof, any of which may be used to create and modify an enterprise data flow or a process flow, for example, using an enterprise computerized tool. In some examples, a method includes activating one or more applications as computerized tools to access subsets of one or more permissions, identifying an enterprise function data object to generate a third subset of permissions.

A system may include a data classification module configured to classify data into classified data based on predefined sensitivity levels and regulatory compliance requirements. A system may include an access control module configured to manage permissions for different user roles within an enterprise, granting access to the classified data in accordance with the sensitivity levels and regulatory compliance requirements. A system may include a data formatting module configured to format classified data into formatted data with customized presentations for various enterprise departments. A system may include an integration module configured to interface with at least one of an Enterprise Resource Planning (ERP) system or a Customer Relationship Management (CRM) system to retrieve and classify the data. A system may include a user interface module configured to present the formatted data within the host application, providing a seamless user experience for accessing the embedded marketplace.

Techniques for cycle management including: determining, based on historical unstructured CRM data, a document model to determine document attributes of a set of documents; determining, based on historical structured CRM data, a stage prediction model to determine attributes of a current sales cycle based on a current sales cycle stage and current document attributes; determining, based on current sales cycle structured data, a current stage of the current sales cycle; determining, based on application of current sales cycle unstructured data to the document model, a current set of attributes for the current sales cycle; and determining, based on application of the current stage of the current sales cycle and the current set of attributes for the current sales cycle to the stage prediction model, a predicted outcome for the current sales cycle.

Disclosed herein are system, method, and computer program product embodiments for implementing grounding of prompt templates using record snapshot. An embodiment operates by parsing a data record to generate a hierarchical tree graph of context data corresponding to a prompt template selected based on a type of a prompt request, and the data record is identified based on a data-record reference in the prompt request. The embodiment then generates a prompt from the prompt template by grounding the prompt template with a data object comprising the hierarchical tree graph of context data. The embodiment then queries a large language model with the prompt to generate an output specific to the data record.

The invention provides a system software joint member business mode implementation system supporting cross-platform account intercommunication, and relates to the technical field of computer software. According to the system, through an account intercommunication module, a joint member management module, a data linkage module, a merchant collaboration module, a user interaction module, and a newly added right and interest monitoring sub-module and a newly added right and interest adjustment notification sub-module, the problems that existing cross-platform software accounts are isolated, member right and interest management is loose, merchant collaboration is low in efficiency and user right to know is insufficient are solved. According to the invention, the core is to realize cross-platform intercommunication of accounts based on unified identity authentication, provide joint membership services of one account, clear rights and interests and accurate notification for users in combination with dynamic rights and interests combination, real-time rights and interests monitoring, intelligent revenue splitting and an active notification mechanism, and help merchants to operate accurately, reduce risks and improve the user experience. And finally, three-party value optimization and ecological win-win of multiple platforms, merchants and users are realized.

The invention discloses a smart city power marketing service simulation evaluation method and system based on digital twinning. The method comprises the steps of obtaining power marketing service data, performing space-time semantic analysis, extracting attribute dimensions, establishing a cross-domain attribute association graph, establishing a cross-domain attribute association graph, and constructing a digital twinborn model; the target marketing service process is decomposed into service units, the service units are decomposed, a local simulation domain is constructed for parallel simulation, and a combined simulation result is obtained through an inter-domain coupling operator; and comparing a simulation result with real data, identifying virtual and real deviations, performing reverse traceability decomposition on virtual and real deviation distribution, mapping the virtual and real deviation distribution back to each local simulation domain, determining a local contribution magnitude of each local simulation domain, and constructing a hierarchical evaluation index to obtain a service quality evaluation result. According to the invention, accurate evaluation of the power marketing service is realized, and the service quality supervision efficiency is improved.

The invention provides a knowledge mining method and device, an intelligent customer service system, equipment, a medium and a product, and relates to the technical field of computers, in particular to the technical fields of artificial intelligence, data processing, large models, intelligent customer service and the like. The method comprises the following steps: extracting candidate question and answer pairs and a first service label from an artificial customer service session log, and inputting questions in the candidate question and answer pairs into a question and answer model to determine a basic question and answer pair and a second service label; based on the first service label, the second service label and the basic question and answer pair, determining whether the candidate question and answer pair is a new question and answer pair; and in response to the candidate question and answer pair being a new question and answer pair, updating a knowledge base of the question and answer model based on the candidate question and answer pair. According to the invention, the knowledge base of the question and answer model of the existing intelligent customer service system can be automatically supplemented and optimized.

The present invention relates to a service device using a network including the Internet, and more particularly, to an online business card service method of producing and providing online business cards and providing various types of additional information with only an minimal operation of scanning a paper business card in an online business card service system that includes a portable communication terminal equipped with a browser app and a scan app that can scan a business card and an online business card operating server connected through a commercial network.

A system for preselecting a preferred mode of distribution for different resource types is disclosed. For each different type of resource distributable by a resource distribution computing system, a plurality of possible different modes of distribution may be represented on a unique user interface of a user computing device by corresponding selectable interface objects. Preferred modes of primary distribution preselected by a user can be stored as a set of user resource distribution rules that will govern future resource distributions from the resource distribution computing system to the user. An alternative mode of distribution may also be preselected for each resource type and may contribute to the user resource distribution rules. Upon subsequent receipt of a request to distribute a resource to the user, the resource distribution computing system can be configured to initiate a distribution based on at least the user resource distribution rules and the resource type.

When a service provider delivers services to users via a network from outside the booth, this configuration allows users to feel a connection between the booth and the provider, compared to a setup where unrelated performances are executed for the booth users. [Solution] The information processing system includes a processor, which causes a plurality of service providers to perform a performance related to one provider when one of the providers provides a service from outside the booth via a network to a booth where the service can be provided by the booth.

Systems and methods are provided for providing agent profiles relating to transactions (e.g., real estate or other transactions) and / or other information from engagement platforms and other applications. Centralized architecture and data management comprised of application and session servers and user profile databases are used to input and store agent profile information, provide unique identifiers and time stamps, identify client agent types, specialties and licensing and service information, which can be used by human and / or artificial intelligence agents to enhance the particular application, and provide social media integration via a client agent user interface and access controls.

Workforce optimization systems and methods are disclosed. A workforce optimization system comprises: a hierarchy tool configured to collect and store employment information about employees of a workforce; an agent suite tool configured to collect and store employee performance data and scheduling information for the employees; a workforce planning tool configured to determine forecasted employee requirements; a budget tool configured to determine an expected budget based on the employment information and the forecasted employee requirements; a customer experience monitoring tool configured to determine a service level provided by the employees to customers; and a virtual manager configured to analyze the employment information, the employee performance data, the scheduling information, the forecasted employee requirements, the expected budget, and the service level, and determine one or more recommended actions for optimizing the workforce while maintaining the service level at or above a minimum service level.

The invention relates to the technical field of industrial internet, artificial intelligence and human-computer interaction, in particular to an industrial internet software intelligent customer service interaction method based on multi-modal deep fusion. According to the method, an intelligent customer service system integrating natural language processing, a voice technology, computer vision and augmented reality (AR) is constructed aiming at the characteristics of complex operation, multiple user groups, high problem speciality and the like in an industrial scene. The core of the method is that operation questions, interface states and potential faults of engineers in software use are accurately understood through multi-modal input; an accurate solution is generated in combination with the knowledge graph of the industrial software and the real-time data of the equipment; a 3D virtual expert image is driven, and immersive and scene-based guidance is provided by fusing voice explanation, interface marking guidance, AR superposition demonstration and operation demonstration videos. The method has the working condition self-adaptive capability, can identify the professional level (such as a green hand / expert mode) of a user, and adjusts the explanation depth; and cross-region collaboration is supported, a plurality of users are allowed to synchronously share a guidance picture of a virtual expert, and efficient remote collaboration troubleshooting is realized. The method solves the technical problems that traditional industrial software is slow in customer service response, abstract in guidance, difficult to process complex problems on site and the like, and operation and maintenance efficiency and user experience are remarkably improved.

Systems and techniques for pre-appointment routing may be used to categorize a branch appointment request. An example technique may include receiving a branch appointment request. The example technique may include using a trained machine learning model to classify the branch appointment request into one of at least two categories. The example technique may include, in accordance with a determination that the branch appointment request is classified in an online category, output a link to perform the associated action for display to a user interface. The example technique may include in accordance with a determination by the trained machine learning model the branch appointment request is classified in an in-person category, output an upload request for a document to the user interface, the document pertaining to the branch appointment request.

A procedure executed by an end device comprising a control unit, an imager, and an input interface involves the control unit performing operations, including capturing a customer's consent to record customer interaction audio via the input interface, starting audio recording after consent has been captured, and stopping audio recording in a case where a predetermined condition is met.

An information processing system includes a processor configured to, in a case where a provider provides a service to a booth in which plural providers that provide services are able to provide the services, from outside the booth via a network, implement an effect relating to the provider.

The present invention relates to a method for dematerializing a transaction receipt following the implementation of a transaction between a merchant and a user. The method is characterized in that it comprises the implementation, by data processing means (31) of a mobile terminal (3) of said user, of the following steps: Receiving a set of data provided by the merchant, containing a link to a web application and initial data representing said transaction; Calling said link so as to implement said web application; Transmitting to a server (2) a request for a dematerialized transaction receipt, generated based on said initial data representing said transaction; Receiving in return by said web application said dematerialized transaction receipt. Fig. 1

The invention relates to an intelligent customer service question and answer accurate recommendation and processing method based on a knowledge graph, and relates to the technical field of electric digital data, and the method comprises the steps: constructing a session prediction knowledge graph based on the historical session number of multiple channels; predicting the number of future sessions of the plurality of channels based on the session prediction knowledge graph and the number of current sessions of the plurality of channels; based on the number of future sessions of the multiple channels, the number of robot seats and the number of manual seats are set; the method comprises the following steps: accessing a session from multiple channels, carrying out semantic understanding on a user question in the session through a robot seat, constructing a user demand portrait, and judging whether a manual seat is allocated or not; if yes, allocating an optimal manual service agent based on the state data of the manual service agent; if not, based on the user demand portrait, generating an answer, performing a conversation, and based on a question association map, generating a recommendation question, the question association map being used for recording the association relationship among the multiple questions, and the method has the advantage of improving the quality and efficiency of the customer service.

An example computer system for updating user account information can include: one or more processors; and non-transitory computer-readable storage media encoding instructions which, when executed by the one or more processors, causes the computer system to: receive a virtual identification (ID), the virtual ID including user information; store the virtual ID within a smart wallet; connect one or more user accounts to the smart wallet; compare the user information of the virtual ID with second user information of the one or more user accounts; determine if the user information and the second user information are different; and update the one or more user accounts by replacing the second user information with the user information.

A system is provided for enhancing data fields within exchangeable structured data files of property listings. The system includes a server connected to a property management system via a wide area network. The server comprises a processor executing controllers, including a data extraction and parsing controller that identifies incomplete data fields and extracts contextual data. A data enhancement controller interacts with a natural language processing sub-controller and a large language model sub-controller to generate and process queries, populating the incomplete data fields. The system also includes a data pass-back controller that transmits the enhanced structured data files back to the property management system. The system automates the identification, enhancement, and updating of data fields, improving the accuracy and completeness of property listings.

According to an embodiment disclosed in the present document, an electronic device may comprise: a communication circuit for communicating with a vehicle equipped with a battery and a terminal of a user; a memory for storing one or more instructions; and a processor, wherein the one or more instructions, when executed, cause the processor to: in response to receiving a start signal for issuing a certificate of the battery from the terminal of the user, set a mission progress state for issuing the certificate on the basis of battery data acquired from the vehicle; and on the basis of the mission progress state, provide, to the terminal of the user, at least a part of the certificate and a notification related to the issuance of the certificate.

An information processing apparatus for processing information on a dialog between a plurality of users, the apparatus includes processing circuitry configured to: acquire analysis data obtained by analyzing the dialog; and create input data to be input to a generative AI, based on the acquired analysis data.