140 results about "Customer requirements" patented technology

The invention relates to an auxiliary verbal skill self-adaptive generation method fusing a knowledge graph and reinforcement learning, and belongs to the technical field of artificial intelligence and service compliance management crossing. The method comprises the following steps: collecting service data, extracting entities, attributes and relationships among the entities through natural language processing, constructing a knowledge graph marked with compliance attributes, and establishing an updating mechanism; determining a verbal skill generation main body according to an actual service scene, and integrating a conversation context, a client real-time state and a business target construction environment state; the verbal skill generation subject retrieves associated business knowledge according to the current environment state, and after the seat selects adaptive verbal skill interaction, verbal skill generation strategy parameters are updated through deep reinforcement learning; and constructing a multi-dimensional effect evaluation method based on the business data, feeding back an evaluation result to an iteration link, and optimizing reward calculation and knowledge graph association logic. Dynamic self-adaption of verbal skills in multiple service scenes is realized, and customer demand solving efficiency and business conversion quality are improved.

The invention relates to the technical field of intelligent window scheduling, in particular to a multi-objective optimization intelligent window dynamic scheduling method and system combined with business rules. The method comprises the following steps: acquiring reservation queuing data, customer demand characteristics and window state data associated with each service window in real time; based on real-time collected data, a multi-objective optimization function including global average waiting time minimization, overall service efficiency maximization of all windows and global resource utilization balance degree maximization is constructed; solving the multi-objective optimization function based on a sorting genetic optimization algorithm; selecting an optimal scheduling strategy through a multi-factor fuzzy decision maker; and dynamically allocating window service resources according to the optimal scheduling strategy, and adjusting a window service queue in real time. By constructing the multi-objective optimization function, the resource waste problems of partial window congestion and partial idle windows caused by traditional fixed rule scheduling are effectively avoided, and the overall rationality and efficiency of window scheduling are improved.

The invention, which relates to the technical field of printing production management, discloses a production processing tracking system and tracking method for a printing industry, and the method specifically comprises the steps: creating a corresponding production order in a preset printing production management system based on customer demand information, generating a unique identification code for each production order according to a dynamic random number algorithm, and associating and binding the unique identification code with each production order; obtaining a process node of each production order associated with the unique identification code to construct a process dependency graph of each production order; calculating the remaining delivery time of each production order associated with the unique identification code, and sorting each production order in real time to construct a self-adaptively updated priority scheduling queue; obtaining a current process node of each production order, and obtaining a state attribute of each process node of each production order and a corresponding execution progress; and carrying out full-link visual display on the state attribute of each process node of each production order and the corresponding execution progress, and inputting a unique identification code through a client to carry out query.

A system for generating a bill of materials comprising one or more product recommendations aligned with customer requirements, comprises a bill of materials processing device. The bill of materials processing device is configured to execute an AI-based recommendation engine. The recommendation engine is configured to receive customer data from one or more user inputs, retrieve product data from a product data source, and retrieve transaction data from a transaction data source. The recommendation engine includes a pre-processing module, training module, and inference module. The pre-processing module executes one or more pre-processing techniques to translate the data into a program-compatible format. The training module executes training and inference processes to generate the bill of materials. The training processes put the data in better condition for the inference module. The inference module uses two or more product recommendation processes to evaluate the data and to generate the BOM in a machine-readable format.

The invention discloses a multi-agent collaborative real-time dynamic travel planning method and system, and relates to the technical field of computer application, and the method comprises the steps: collecting travel appeal information of a user; judging the space-time rationality of the travel appeal information, if the travel appeal information does not have the space-time rationality, judging that the space-time is unreasonable, otherwise, judging that the space-time is reasonable; when the time and space are judged to be reasonable, planning to obtain corresponding travel itinerary information based on the path distance and the path time consumption; wherein the travel appeal information comprises a departure place, a destination, optional scenic spots, travel days, departure time, accompanying person information, accommodation preference and travel preference. According to the method and the device, time-space rationality judgment is performed in advance based on the personalized travel demands of the users, and then information matching is performed, so that travel planning information meeting customer demands is pushed conveniently and intelligently, the actual demands of the users are met, and the authenticity, rationality and accessibility of the travel are comprehensively considered in the generated travel.

The invention discloses a user interaction system and method based on a digital human, and the system comprises a data acquisition module which is used for collecting user voice data; the dynamic judgment module is used for calculating and obtaining a voice detection threshold value through a dynamic threshold value model based on the user voice data, and judging whether an interruption mechanism is triggered or not; the voice recognition and analysis module is used for converting the voice data of the user into text information and acquiring potential intentions of the user; the knowledge graph matching module is used for generating a response text according to the potential intention of the user and performing interaction through a digital human; the semantic matching module is used for judging whether a secondary interruption mechanism is triggered or not; and the information recording module is used for recording the current broadcasting progress and the key information. Effective interruption and mistaken interruption can be intelligently distinguished, blind pause of broadcasting or missing of customer requirements is avoided, and interaction fluency is greatly improved; and secondary interruption judgment satisfies interaction habits of different clients, and can recover from a logic node after interruption, so that the service efficiency is improved.

The invention relates to a multi-target logistics distribution path optimization method based on AI, and the method comprises the following steps: obtaining order data, road network data and vehicle data of logistics distribution of a customer point, extracting basic information from the three types of data, and constructing the multi-dimensional features of the customer point; inputting the multi-dimensional features of the customer points into a pre-trained graph attention network for feature embedding, generating a distribution network feature graph fusing customer demands and a road network relationship, inputting a pre-trained reinforcement learning agent, and generating an initial path population with quality and diversity balance; performing iterative optimization on the initial path population based on a Memetic algorithm framework; and calculating the fitness of each individual on a plurality of preset optimization objectives, maintaining a Pareto solution set by adopting a multi-objective evolutionary algorithm with reference points, and recommending a final path scheme from the Pareto solution set based on user preferences. The method has the effect of remarkably improving the quality, efficiency and dynamic adaptability of path optimization.

An exhibition stand design intelligent generation system based on multi-modal semantic analysis belongs to the technical field of design and comprises a data acquisition and labeling module, a multi-stage semantic analysis module, a multi-modal fusion generation module, a dynamic style adaptation implementation module and a test and optimization module. The data acquisition and labeling module comprises an industry label determination sub-module, an exhibition stand space size design sub-module, a function partition sub-module and a display product sub-module; the multi-stage semantic analysis module comprises a domain knowledge graph determination sub-module and a semantic analysis model establishment sub-module; the multi-modal fusion generation module comprises a two-channel Transform architecture sub-module, a three-dimensional layout generation sub-module, an input sub-module and an AIGC large model establishment sub-module; the dynamic style adaptation implementation module comprises an industry feature coding sub-module and an adversarial training strategy sub-module; the application method of the exhibition stand design intelligent generation system based on multi-modal semantic analysis comprises five steps. According to the method, the exhibition stand design scheme meeting the customer requirements can be quickly generated, the multi-view effect picture is output, and the exhibition service response speed and the customer experience can be improved.

This disclosure provides a service recommendation method, apparatus, electronic device, medium, and product, relating to the field of computer technology. The method includes: filtering available services based on customer needs to generate a candidate service list; for each candidate service in the candidate service list, constructing an input sequence of the candidate service based on the customer needs and the candidate service; inputting the input sequence of the candidate service into an analysis model to obtain the matching degree between the candidate service and the customer needs; and obtaining a service recommendation result based on the matching degree between all candidate services in the candidate service list and the customer needs. This method can accurately identify the complex interaction relationships between customer needs and services, improving recommendation accuracy.

The application relates to the technical field of order allocation, in particular to a dynamic distribution order allocation optimization method considering the supply-demand state of a transport capacity system.S1, a dynamic pickup and delivery problem model is constructed, the dynamic pickup and delivery problem system state and the action set are determined, and the dynamic pickup and delivery problem model is constructed;S2, a rolling time sequence mechanism is adopted to describe the dynamic nature of the urban dynamic pickup and delivery problem; and S3, a mixed allocation strategy is adopted to allocate the dynamic distribution order.The dynamic distribution order allocation optimization method considering the supply-demand state of the transport capacity system optimizes the design of the order allocation, efficiently allocates a scheme and a solution algorithm, realizes the matching of efficient dynamic time requirements and distribution resources, reduces the distribution cost and improves the distribution punctuality rate; meanwhile, the efficient order allocation strategy and the distribution optimization search operator based on the transport capacity supply-demand are designed, the response speed of the distribution system to the dynamic time requirements is improved, the distribution service quality of the distribution enterprise to the market and the customer requirements can be improved, and the distribution cost is optimized.

The invention provides a customer demand function and production line function bidirectional decoupling-oriented efficient production line software integration method suitable for a laser radar. The method mainly comprises the following steps of customer business demand analysis and development, customer production line function demand confirmation, business demand side and production line side combination, small-batch verification, customer evaluation and mass production software generation. According to the method, the production efficiency can be improved to the greatest extent while the business demand side and the production line demand side of a customer are developed in a combined manner, intersection point type integration is adopted during production, production line functions are associated with communication addresses after leaving a factory, and secondary password + physical separation is performed, so that the functions of the business side are not influenced, and the production efficiency is improved. And the subsequent self-upgrading of a business demand side and a production line side is not influenced.

The utility model discloses an intelligent lintel billboard system for a micro-module data center channel. The intelligent lintel billboard system comprises a data collector, a data processing box, a strip-shaped display screen and a power distribution system, the data acquisition unit is provided with an LAN interface, a COM interface, a DI interface and a DO interface, key data of the micro-module data center are acquired through the data acquisition unit, the key data are acquired through the data acquisition unit and processed into visual data through the data processing box, and then the visual data are displayed through the strip-shaped display screen. According to the intelligent lintel system, platforms such as cross-WINDOWS web / Android APP / IOS web and the like are supported, networking communication is simple, display content is rich, functions are comprehensive, an interface configuration design module in the data processing box can circularly play videos and pictures and customize a welcome interface according to customer requirements, and the requirements for multiple functions and customization of the intelligent lintel system of the micro-module data center channel are met.

The utility model discloses a three-coordinate measuring tool for an ECU cover part, relates to the technical field of ECU cover three-coordinate measurement, and aims to solve the problem that in the prior art, a current new product ECU cover needs to be subjected to size measurement according to customer requirements in the production process, so that the situation that the size problem of the part flows out to a client and is not found is avoided. In the prior art, a tiger table is used to fix a part, the position of the part is difficult to fix, the part is easy to loosen, the individual size is interfered, and the part cannot be completely measured by three coordinates. An ECU cover is arranged on the base, a preset hole site is formed in the inner side of the base, a first fixing bolt and a second fixing bolt which are used for fixing are arranged between the ECU cover and the base, an adjustable pressing mechanism used for pressing the ECU cover is fixedly installed on the base, and the adjustable pressing mechanism comprises a stand column. A supporting table is fixedly installed on the stand column, and a position adjusting leg and a locking leg are rotationally connected to the supporting table.

The invention discloses a multi-scene adaptive universal software test script generation method and device, a product verification method and device, equipment, a medium and a program product. The multi-scene adaptive universal software test script generation method comprises the following steps: acquiring a coding script fragment of a business logic extension source code input by a user; obtaining a rule configuration file, wherein the rule configuration file comprises a file content organization rule, a general data standard, a reference file association rule, an assertion specification and a test standard red line; and the AI processing engine analyzes the coding script fragment of the business logic extension source code based on the rule configuration file to generate a standardized test script. On-line strong control testing is carried out based on the standardized testing script, script compatibility is verified, extended scene risk early warning is carried out, and interruption interception is carried out when risks exist. According to the method, the defects of low manual test efficiency of delivered business logic extension source codes, high business scheduling interruption risk caused by poor compatibility with original source codes and the like when customer requirements are met in multiple scenes can be solved.

The application discloses a kind of collaborative robot system and service process for active power grid marketing, belong to artificial intelligence and electric power marketing service technical field.System includes: robot perception interaction end, cloud intelligent analysis hub and dynamic customer memory bank, robot perception interaction end deploys lightweight vision model, real-time identification customer emotion, body state and explicit feature, and initiatively trigger service;Cloud intelligent analysis hub uses power grid knowledge enhanced large language model, carries out depth demand analysis and individualized strategy generation to multi-modal data;Dynamic customer memory bank stores customer historical interaction record and portrait information in the form of knowledge graph, realizes the continuity and memory of service.The application is through edge small model+cloud big model collaborative architecture, general AI capability and power grid business knowledge are deeply fused, so that robot can actively identify customer demand, provide marketing service, improve customer experience and marketing conversion rate of electric power business hall.

The filter valve comprises a valve body, a ball valve and the magnetic lock device, the magnetic lock device is additionally arranged on a valve rod of the ball valve to control opening and closing of the ball valve, a specific and detachable screw cap key is used, it can be ensured that only authorized personnel can operate the valve, and the safety risk is effectively reduced; besides, different numbers of mounting cavities and magnets at different positions can be customized according to customer requirements, so that different unlocking settings are designed, the difficulty of operating the valve by unauthorized personnel is improved, and the safety of the filter valve is further improved; by arranging the date ring, the filter screen can be regularly cleaned according to the use time, so that the filtering effect of the filter valve is guaranteed.

The utility model provides a heat shrink tube shaping tool which comprises a bottom plate, two opposite sides of the bottom plate are respectively connected with supporting rods, a cross beam is connected between the supporting rods, and the cross beam is connected with a pressing device. The top face of the bottom plate is connected with a tool jig, the tool jig is placed on the lower side of the pressing device, and a workpiece to be pressed is placed on the tool jig. A product is pressed on the top surface of the tool jig through the pressing device, and the pressing device is released after the heat shrink tube is cooled, so that the heat shrink tube is enabled to flatly cover the surface of the product, edge warping of an opening of the heat shrink tube is avoided, product quality is improved, and customer requirements are met.

By accurately grasping customer needs in real time and providing appropriate property information instantly, the system improves the work efficiency of sales staff, increases the accuracy of proposals, and increases customer satisfaction. [Solution] In an information processing system that matches real estate properties, the recommendation device comprises a memory unit that stores customer property needs information and property information, a transcription result acquisition unit that acquires real-time transcription results of conversational audio with the customer, a property needs information acquisition unit that acquires customer property needs information automatically extracted by AI analysis based on the transcribed conversation content, a property extraction unit that extracts properties that match the customer property needs information from the property information stored in the memory unit based on the customer's property needs, a reason acquisition unit that acquires recommendation reasons for the extracted properties generated by AI analysis based on the characteristics of the property and the customer's property needs information, and an output unit that outputs recommendation results including recommendation reasons to a user terminal.

The invention discloses an IEPL product intelligent quotation decision-making system based on multi-scene classification, and relates to the technical field of telecommunication service management, the system comprises an intelligent quotation decision-making center, the intelligent quotation decision-making center is in communication connection with the following modules: an intention analysis module, a semantic analysis and scene mapping capability integration module, and an intelligent quotation decision-making module; non-structured questions of clients are accurately converted into structured business intentions, and corresponding business scenes are automatically associated; and the intelligent routing pricing module is used for integrating a routing rule base and a dynamic cost engine, automatically planning an optimal path according to the associated service scene and calculating segmentation cost. According to the invention, through identifying the unstructured customer demand and mapping the demand to the specific business scene, automatic conversion from fuzzy inquiry to an accurate scene is realized, and the optimal path is automatically planned and the segmentation cost is calculated in combination with the business scene identifier, so that the problem of omission or repeated pricing caused by manual judgment is eliminated, and the efficiency of the system is improved. The quotation generation process is rapid and accurate, and the overall quotation efficiency is greatly improved.

An object of a system according to an embodiment is to provide optimum BGM in accordance with a use scene or a customer's need.SOLUTION: A system includes a BGM selection part, a prompt generation part, and a BGM provision part. The BGM selection unit selects optimum BGM in accordance with a use scene or a customer's need. The prompt generation unit generates a prompt based on the BGM selected by the BGM selection unit. The BGM providing unit provides BGM based on the prompt generated by the prompt generation unit.SELECTED DRAWING: Figure 1

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 application discloses a data extraction and processing method and system based on user credit characteristics, comprising the following steps: S1, configuring variable expression and analysis type according to standard JSON format; S2, request party imports credit investigation report, and the credit investigation report data format is HTML; S3, converting the credit investigation report into standard JSON; S4, querying all variable expressions from a database for cyclic processing; S5, constructing variable expression into an analysis object set according to rules according to the analysis type; S6, performing analysis operation calculation variable value according to the analysis object set according to the imported standard JSON data; S7, encapsulating the analyzed variable value into a warehouse for storage and return. When facing complex and diversified business scenarios and customer demands, new variables can be derived flexibly and dynamically through the configuration of variable expressions, the derived variables can be directly used without customized repeated development, and human development cost can be reduced.

The invention relates to the technical field of information technology consultation, and discloses an information technology consultation service method and system based on correlation analysis. The system comprises a data acquisition and feature processing module, a correlation analysis and scheme optimization module, a consultation scheme generation and correction module, a report generation and output module and an effect evaluation and adaptive optimization module. When customer information technology demand data and solution database data are acquired and processed, the consistency of the customer demand data and the solution data in structure and frequency is ensured by formulating a standardized data acquisition process and a multi-dimensional feature extraction method; the problem that data sampling frequencies are not matched can be detected and avoided in real time, the accuracy and reliability of correlation analysis basic data are guaranteed, recommendation errors caused by data distortion are reduced, and the accuracy of information technology consultation services is improved.

Disclosed is an improved approach to implement more efficient upgrades and patches of nodes in a multi-tenant environment. Described in an improved approach to handle VM cluster maintenance through maintenance domains which partitions the interval and pool of hardware nodes, and where subsequent operations handling these concepts provide the required maintenance schedules satisfying any customer requirements.

The invention belongs to the technical field of customer analysis and management, and relates to an articulated naturality web customer intelligent analysis and management method based on an artificial intelligence technology. According to the method, the customer behavior map is constructed by integrating multi-modal data such as the moving track, the staying duration and the micro expression of the customer, progressive analysis from a basic behavior label to a high-order behavior mode is realized, the span from passive recording to active understanding of customer requirements is realized, and bottom data support is provided for accurate operation; a high-flow low-conversion area and a high-contact low-conversion area are identified in real time based on a customer behavior map, and an abnormal cause is accurately positioned based on multi-dimensional data analysis through a preset abnormal judgment rule, so that automatic analysis from problem discovery to cause positioning is realized; and aiming at different abnormal causes, a customized strategy is automatically triggered, an intelligent management closed loop of monitoring-analysis-execution-feedback is formed, and the operation efficiency and the conversion rate are effectively improved.

The application discloses a communication product configuration method based on multi-modal analysis and vector matching, and particularly relates to the technical field of intelligent configuration of communication products, and is used for solving the problem that the efficiency of manually reading documents and manually selecting and configuring is low, errors are easy to occur, and it is difficult to trace back when the customer demand is proposed in the form of multi-source and multi-format documents, the field caliber is complex, and the rule constraints are numerous in the group and government and enterprise customer scenarios of operators. By taking the field dictionary and structured constraints as the basis, the multi-source and multi-format communication product demand document is sequentially converted into demand parameters, demand configuration graphs and multi-channel feature vectors, and vector matching of rule perception such as field mandatory, mutual exclusion of rights and interests, region, contract period and cost is performed on the hierarchical near neighbor graph index in combination with the template graph, so that the communication product configuration scheme meeting the business constraints is automatically output under the unified caliber, the workload of manually reading documents and selecting by experience is significantly reduced, and the accuracy and consistency of the configuration result in the complex scenario are improved.

We provide the system. [Solution] Means for collecting and storing customer information, A means of identifying customer needs by analyzing collected customer information, A means of automatically generating proposals based on identified customer needs, A means of providing the generated suggestions to the user, A means of collecting user feedback on suggestions and incorporating it into the analysis, A system that includes this.

The invention discloses a home decoration digital management system, and belongs to the technical field of home decoration management. The system comprises a design verification module, a project execution management module, a client and contract management module and a data tracing module. The design verification module is used for collecting customer demands and generating a design scheme and scene simulation data confirmed by a customer; the project execution management module executes a construction plan and quality control based on the confirmed scheme; the client and contract management module stores client information and manages a payment process; and the data tracing module records whole-process data from demand acquisition to project acceptance. According to the invention, through constructing full-process digital closed-loop management, it can be ensured that the decoration effect accords with the customer expectation from the source, the problems of delivery disputes and difficult collection of tail money caused by design inconformity are effectively solved, and the construction quality and project management efficiency are improved at the same time.

The invention discloses a call quality optimization method and device based on voiceprint recognition and a storage medium, and relates to the technical field of artificial intelligence, and the method comprises the steps: responding to a service request, obtaining the initial voice data of a customer in a call, and extracting the voiceprint features of the customer; comparing the customer voiceprint characteristics with a customer voiceprint template in an identity information base, and determining target customer information corresponding to the customer voiceprint characteristics; based on the target customer information and the customer service call voice data, analyzing a business scene required by the target customer, and generating a corresponding exclusive service strategy; the method comprises the following steps: automatically labeling an emotion label and pushing a keyword and a service adjustment strategy according to an emotion analysis result of a target customer; and optimizing the exclusive service strategy according to the service adjustment strategy to obtain a target service strategy corresponding to the target customer. According to the method, the identity is confirmed through the voiceprint, and the scene emotion adapts to the optimization service, so that the problem of poor communication quality is solved, and the effect of improving the quality and efficiency of the whole call service process is realized.