240 results about "Satisfaction level" patented technology

The invention discloses an e-commerce platform product selection and pricing method based on multi-agent reinforcement learning, aiming at the game decision problem between an e-commerce platform and a supplier, a platform agent and a supplier agent are constructed, the platform agent uses a deep Q network DQN to learn a product selection strategy, and the supplier agent uses an Actor-Critic algorithm to learn a pricing strategy. Through Stackelberg master-slave game modeling, a platform is used as a leader to make a decision for selection, and a supplier is used as a follower to make a decision for pricing after observation. A state space (including commodity sales volume, inventory, user score, supplier fulfillment rate and the like), an action space (discrete commodity selection and continuous pricing) and a multi-target reward function (balance profit, user satisfaction, inventory turnover and the like) suitable for an e-commerce scene are designed. The strategies of the two parties are converged to game equilibrium through alternate training, and online continuous learning is supported to adapt to a dynamic market environment. Experiments show that compared with an existing method, the method has the advantages that the overall income can be improved by 18-30%, the win-win situation of the platform and the suppliers is achieved, and the blank of multi-agent reinforcement learning in e-commerce product selection and pricing scenes is filled.

The invention provides a canteen satisfaction quantitative evaluation method, electronic equipment and a medium. The method comprises the following steps: acquiring Internet of Things sensing data and sales volume of each dish; obtaining dining scene data based on the monitoring video stream of the canteen; obtaining an active feedback text of the diner; feedback information is extracted from the active feedback text; according to the data acquisition time, the dish name and the window information, data fusion is carried out on the Internet of Things sensing data, the sales volume, the dining scene data and the feedback information to obtain a multi-source data association model, and the multi-source data association model comprises multiple groups of association data; determining a dish taste index of each dish, a service efficiency index of each window and an environment comfort level of a canteen based on the multiple groups of associated data; and calculating the weighted sum of the dish taste index, the service efficiency index and the environmental comfort to obtain comprehensive satisfaction. According to the scheme, the satisfaction degree of the canteen can be quantified more accurately.

The invention discloses a sales demand analysis method and system based on AI and portraits. The method comprises the steps of collecting multi-source heterogeneous data such as basic information, transaction records and online behaviors of customers; according to the method, a self-developed large model of the Chinese human life research and development center is adopted, implicit requirements in a customer behavior sequence are deeply mined through an attention mechanism, a hierarchical clustering algorithm is used for generating a tree-shaped clustering graph based on a Ward connection method, and high-value features with variances larger than 0.8 and absolute values of correlation coefficients larger than 0.5 are screened out in combination with a rule engine; it is ensured that the extracted features have statistical significance and are directly associated with business targets, invalid feature redundancy is avoided, the efficiency and accuracy of subsequent portrait construction are improved, product recommendation priorities are determined through a decision tree algorithm, and a Q-learning framework is combined to optimize communication verbal skills and cross sales strategies, so that the sales strategies meet the current demands of customers, and the customer experience is improved. Potential requirements are guided, and the conversion rate and the customer satisfaction degree are both improved.

The invention discloses an insurance customer resource optimal configuration method and system, and mainly relates to the technical field of insurance service resource management. Comprising the following steps: acquiring customer label data of a plurality of customers and salesman label data of a plurality of salesmen; performing preprocessing and feature coding on the customer label data and the salesman label data, and converting non-numerical labels into numerical features; carrying out feature importance analysis on the basis of the preprocessed numerical features, and selecting key features; based on the key features, calculating an association degree matrix between the customer tag and the salesman tag; based on the correlation degree matrix, calculating the matching degree between the to-be-distributed customer and the plurality of salesmen; and selecting a target salesman from the plurality of salesmen according to the matching degree, and allocating the to-be-allocated customer to the target salesman. The method has the beneficial effects that accurate and automatic distribution of customers and salesmen based on portrait label matching is realized, and meanwhile, the service efficiency and customer satisfaction are improved.

The invention relates to an intelligent work order recommendation processing method and device based on multi-algorithm fusion. The method comprises the steps of obtaining original work order data of a work order to be processed and capability indexes of multiple processing parties; extracting a comprehensive feature vector of the original work order data; screening out a plurality of candidate processing parties from all the processing parties through a double-tower model according to the comprehensive feature vector and the capability indexes of the plurality of processing parties; and determining a recommended processing party list meeting a preset condition from the plurality of candidate processing parties by adopting a Thompson sampling algorithm. According to the scheme, intelligent allocation of the work orders is realized by fusing multiple algorithms, the processing efficiency and accuracy are remarkably improved, the resource utilization is optimized, the self-learning ability of the system is enhanced, and a virtuous circle is formed, so that the customer satisfaction and the overall performance of the system are improved.

The invention relates to a consultation reply method and device, equipment and medium in the technical field of e-commerce, and the method comprises the steps: responding to a user consultation event, carrying out the first retrieval in a preset customer service knowledge base based on a user consultation text corresponding to the event, and obtaining a preliminary document block set; based on the user consultation text and the preliminary document block set, corresponding extended retrieval information is generated, and the extended retrieval information comprises an extended consultation text set and an extended customer service knowledge document; based on the user consultation text and the extended retrieval information, performing second retrieval in the customer service knowledge base to obtain a target document block set; and generating a corresponding customer service reply text based on the target document block set and the user consultation text, and pushing the customer service reply text to the user. According to the invention, accurate reply in a vertical domain customer service reply scene is realized, and the user satisfaction is improved.

The invention discloses a wind power project multi-dimensional marketing and decision support system based on a carbon transaction value, and belongs to the technical field of renewable energy sources and carbon transactions, and the system comprises a carbon footprint calculation module, a carbon emission reduction calculation module, a carbon asset value prediction module, a customer portrait analysis module, a carbon value narration module and a decision support module. The decision support module models a marketing process of a wind power project into a Markov decision process, self-adaptive optimization of a marketing strategy is realized by constructing a state space, an action space and a reward function and adopting a reinforcement learning algorithm, and the system can dynamically adjust strategy selection according to customer behavior feedback so as to improve the marketing efficiency. Self-adaptive marketing strategy suggestions are generated for different wind power projects and different types of customers, and the marketing conversion rate and the customer response satisfaction degree are remarkably improved.

The application discloses a kiwi storage day prediction system based on a sensing glove, which comprises a portable sensing glove, realizes measurement of kiwi volume, weight, hardness and environmental temperature and humidity information, and further trains a data set collected by the sensing glove through a CNN network, constructs a kiwi storage day prediction model, and realizes prediction of the kiwi storage day. The application combines the portable sensing glove and the kiwi storage day prediction model to form the kiwi storage day prediction system, designs a man-machine interaction interface and an operating system, realizes visualization of system information through the man-machine interaction interface, guarantees more convenient man-machine interaction, realizes the kiwi storage day prediction process based on the kiwi storage day prediction model, realizes prediction of the kiwi storage day, guarantees customer satisfaction and reduces kiwi waste of a merchant.

Traditional methods often result in long response times to customer inquiries, leading to decreased customer satisfaction. Furthermore, it reduces the productivity of sales representatives and places a heavy load on product servers and systems. This system addresses these issues by providing a rapid and accurate customer response solution. [Solution] The system receives input from the user, tokenizes the user's input, passes the tokenized data to a generative AI model to generate a response, converts the generated response into JSON format, and sends the converted response back to the user.

The application discloses a transaction batch processing method, a server, a computer device and a storage medium, and relates to the technical field of transaction batch processing. The method comprises the following steps: receiving a transaction request, and recording the date of the transaction request according to a natural date during batch processing; if the batch processing is performed before 0 o'clock, performing a first refresh on a core system before 0 o'clock; performing a second refresh on the core system at 0 o'clock, so as to synchronize transaction data between the first refresh time and the second refresh time; recording the date of the transaction request after the second refresh according to the natural date; wherein the natural date is Greenwich Mean Time and cannot be changed. The accuracy of the date record of the transaction of the bank core system can be improved, the situation that the transaction date queried by a customer is inconsistent with the transaction date recorded by the bank system can be avoided, customer complaints can be reduced, and the experience and satisfaction of the customer are improved.

The utility model discloses a high-pressure oil rail deflection inspection tool, which relates to the technical field of high-pressure oil rail processing and comprises a base and a feeler gauge, the upper surface of the base is a plane, a first support and a second support are respectively arranged on two sides of the base, chamfers are arranged on the edges of the upper portions of the first support and the second support, a first arc-shaped groove is arranged in the middle of the upper portion of the first support, and a second arc-shaped groove is arranged in the middle of the lower portion of the second support. A first arc groove is formed in the middle of the upper portion of the first support, the radius of the first arc groove is 15.4 mm, a second arc groove is formed in the middle of the upper portion of the second support, the radius of the second arc groove is 9.6 mm, and the first support is wider than the second support. According to the deflection inspection tool for the high-pressure oil rail, straightening can be directly carried out through the tool while the deflection of a product is inspected, reinspection is directly carried out again after straightening is carried out, the labor intensity of workers is reduced, the inspection accuracy is improved, the inspection efficiency of an inspection workshop and the product quality are greatly improved, and the production cost is reduced. Products inspected by the tool can be assembled after being processed by customers, so that the satisfaction degree of the customers is improved.

The invention discloses a marketing customer label management system and management method based on the electric power field, and relates to the technical field of electric power marketing customer label management, and the system comprises a data collection module, a data storage module, a label generation module, a customer grouping module, a marketing strategy generation module and an interface module. According to the invention, through multi-dimensional data real-time acquisition, dynamic label management, demand elasticity modeling and physical layer accurate intervention, the problems of single data dimension, insufficient real-time performance, unquantified demand elasticity and the like of an existing static label system are solved, synchronous updating of a marketing strategy and user behaviors is realized, the customer satisfaction is improved, power grid resource allocation is optimized, and the user experience is improved. According to the method, the policy compliance is automatically checked, the management risk is reduced, data fusion without additional hardware is realized through power line carrier communication, and a full-closed-loop precision solution from data acquisition to policy intervention is provided for power marketing.

The invention relates to the field of data processing and information display, and discloses a dealer level customer satisfaction drilling analysis and report generation system. Comprising a display terminal and a platform server. The display terminal collects an interaction event and renders a chart; the platform server maintains the hierarchical relationship of the whole country, the large area, the group and the dealer, and generates a screening condition set identifier; generating a data request based on the drilling event and generating a view snapshot identifier to restore a view state; establishing a component dependency relationship and determining a target component set identifier for linkage refreshing; performing permission verification on drilling, sharing and exporting, and generating a query signature to implement cache management; and assembling a report data table according to the report template, writing metadata into the report data table to generate a report file, and providing downloading output for a display terminal.

The invention provides a multi-factor pricing transaction method and device and a core system, and the method comprises the steps: receiving transaction information uploaded by a peripheral system, and extracting a basic price of a pricing object in the transaction information; the core system is retrieved according to the transaction information, whether a corrected pricing rule corresponding to the pricing object exists or not is determined, and the corrected pricing rule comprises an external pricing rule, a final pricing rule, a scene pricing rule and a client pricing rule; under the condition that the corrected pricing rule corresponding to the pricing object does not exist, transaction with a peripheral system is carried out according to basic pricing; and under the condition that the corrected pricing rule corresponding to the pricing object exists, calling a corresponding preset collaborative pricing strategy to correct the basic pricing according to the type of the corrected pricing rule, obtaining a transaction pricing, and carrying out transaction with a peripheral system according to the transaction pricing. The method solves the problems that in the prior art, a business pricing system depends on customer groups and money to carry out gradient pricing, scene channel pricing is single, and customer satisfaction is low.

The invention relates to the technical field of enterprise data intelligent management, in particular to a service optimization method and system based on multi-dimensional enterprise data fusion, and the method comprises the following steps: taking a unified social credit code as a main key, and combining an enterprise name and an operation address as auxiliary matching keys; industrial and commercial registration data, tax declaration data, energy consumption monitoring data, social insurance payment data and operation development data are fused; the method has the beneficial effects that a real-time calculation framework and an intelligent algorithm are adopted, the sudden risk of an enterprise, such as sudden energy consumption increase and tax decline, can be captured in time, and an early warning and service intervention mechanism is automatically triggered. Therefore, enterprises can quickly respond to market changes, the operation risk is reduced, and the competitiveness is improved. And by accurately sensing enterprise demands and service states, the system can realize optimal configuration and efficient utilization of the service resources. Therefore, the service cost can be reduced, the service quality can be improved, and the customer satisfaction and loyalty can be enhanced.

To provide a customer service system, a customer service program and its providing method for improving the efficiency of the whole industry and customer satisfaction.SOLUTION: In the customer service system, the communication control server includes a communication protocol control unit that executes control corresponding to each communication protocol for transmitting and receiving voice information, character information, or data by a call, and the application server includes a communication history recording unit that records history data transmitted and received through the communication protocol control unit and information on the communication protocol when the history data is transmitted and received in association with each other as thread data, and a display control unit that displays a list of the thread data. The communication control server is also provided with a communication protocol switching part 110a for executing the transmission / reception of information in the communication protocol control part by the communication protocol corresponding to the selection of a manipulator or the communication protocol associated with the existing thread.SELECTED DRAWING: Figure 2

Transactions may be disputed. Accordingly, streamlining and anticipating possible disputes with transactions may help achieve improved transaction processing efficiency and enhance customer satisfaction. In some arrangements, a transaction processing and dispute resolution system may determine a dispute propensity score for a transaction in order to anticipate and possibly avoid possible disputes for a transaction. This determination may be performed by configuring and applying transaction parameters to a neuro-symbolic artificial intelligence (AI) model. Additionally, the transaction processing and dispute resolution system may also automatically identify resolutions to transaction disputes when they arise using smart contracts. In such a system, the transaction-in-dispute may be analyzed using a neuro-symbolic AI model to identify possible updates to the smart contract rules. This allows the model to further adapt and learn based on new contexts and information.

The invention provides an insurance industry meeting place seat number automatic distribution method. The method comprises the steps that client data are acquired through a system input interface and an API interface and preprocessed; calculating a customer value score based on a predefined mathematical model and generating a customer tag; configuring a seat distribution rule set, setting priorities, and establishing a mapping relation between rules and areas; executing automatic seat distribution by adopting a hierarchical-backtracking model, and optimizing a distribution result through a greedy algorithm and a backtracking mechanism; providing a visual interface to display a distribution result and supporting manual adjustment; and finally generating a complete seat arrangement report. According to the invention, the problems of low efficiency and poor accuracy of traditional manual distribution are solved, intelligent and precise management of seat distribution of the meeting place in the insurance industry is realized, and the distribution efficiency and customer satisfaction are remarkably improved.

Appropriately evaluate customer satisfaction with the facility. [Solution] The server device 10 acquires evaluation information of the visited facility using the acquisition unit 11, and notifies the user of the evaluation of the visited facility based on the evaluation information using the notification unit 12 before the visit. Then, the acquisition unit 11 acquires comment information about the visited facility after the visit, and the determination unit 13 determines the satisfaction level with the evaluation information based on the comment information acquired.

The embodiment of the invention provides a service method and device, equipment, a storage medium and a program product, and relates to the technical field of financial science and technology or artificial intelligence. The method comprises the following steps: collecting target customer information, wherein the target customer information comprises first face image data and first audio data of a target customer; performing facial feature extraction based on the first facial image data to obtain first facial feature information; performing audio feature extraction based on the first audio data to obtain first audio feature information; determining first state information according to the first facial feature information and the first audio feature information, wherein the first state information is used for indicating an emotional state of the target customer; under the condition that the first condition is met, first information is sent to the first terminal, the first information is used for indicating the first terminal to interact with the target client, and the first condition includes that the first state information meets the second condition. According to the service method provided by the invention, the satisfaction degree of bank services is improved.

The invention provides a client grading processing method and system fusing multi-source data. The method comprises the following steps: in response to a received voice service request of a client, obtaining audio data and text data in the voice service request; based on the audio data and the text data, identifying the emotion and intention of the customer in the voice service request to obtain an emotion type and a target demand of the customer; obtaining personal data, historical power consumption data, payment data and historical complaint feedback data of a customer; according to the personal data, the historical power consumption data, the payment data and the historical complaint feedback data, performing grading processing on the clients by adopting a preset client grading model to obtain target grades of the clients; and processing the voice service request according to the emotion type, the target demand and the target level. The method is used for performing customer service in a targeted manner, so as to achieve the effects of improving the service efficiency and further improving the customer satisfaction.

The invention discloses an international logistics path optimization method and device, and relates to the technical field of logistics transportation. A specific embodiment of the method comprises the steps of performing entity recognition on acquired policy text data to obtain policy parameters, and determining influence factors of the policy text data based on the policy parameters; updating a path calculation model based on the policy parameters, wherein the path calculation model records a cost weight value between the transportation nodes; order information of the target order is acquired, and path optimization verification is performed on the target order based on the order information, the policy parameters and the influence factors; and determining a target logistics path corresponding to the target order based on the path calculation model under the condition that the target order is verified to meet the path optimization condition. According to the embodiment, the increase of logistics cost can be reduced as much as possible, and the influence on logistics efficiency and user satisfaction is avoided.

The invention relates to a commodity recommendation method and system based on a user portrait, and the method comprises the steps: firstly obtaining multi-dimensional data, including user basic information, historical order data, point data and commodity feature data, of a target user; then, a user portrait containing work type codes, work age segments and the like is constructed based on the multi-dimensional data; and then, introducing a power grid characteristic matrix, improving a factorization machine algorithm to construct a recommendation model, calculating user-commodity matching scores, combining the user-commodity matching scores with inventory weights to obtain final recommendation scores, and finally, generating a recommendation list according to a descending order of the scores. According to the method, the user and professional category requirements are accurately associated, the recommendation is dynamically adjusted in combination with the inventory, the user experience is improved in a point shopping scene, the generalization defect of a traditional algorithm is overcome, an intelligent recommendation scheme adaptive to the internal ecology of the power grid is formed, the professional category conversion rate, the inventory turnover rate and the user satisfaction are improved, and the user experience is improved. And the platform operation efficiency and the user stickiness are enhanced.

The application discloses a construction organization whole-process management system, which is suitable for a railway construction process and comprises an interactive sharing platform, a preliminary management module, an execution period management module and a completion period management module, wherein the interactive sharing platform is a center for information sharing and data exchange of construction participants and is used for monitoring abnormal construction processes; the preliminary management module performs preliminary analysis according to shared data and uploads the preliminary analysis to the interactive sharing platform in real time; the execution period management module supervises progress and quality in a construction execution process, generates efficiency and quality analysis results and uploads the efficiency and quality analysis results to the interactive sharing platform; the completion period management module acquires customer internal acceptance information after completion, analyzes differences between the acceptance information, summarizes the differences, generates a project delivery report and uploads the project delivery report to the interactive sharing platform; and the tracing module is used for storing data of various construction projects in categories; the whole-process management system realizes information sharing of the railway construction process, supervision and early warning of abnormal construction, increases experiences of customer parties and railway management parties, improves project completion capability and customer satisfaction and realizes data tracing.

The invention relates to the field of artificial intelligence and man-machine conversation, and particularly discloses an emotion-enhanced historical session representation and drive response generation method, which comprises the following steps: S1, outputting a normalized historical session text sequence; s2, encoding a historical session text, and generating a text vector representation; s3, emotion recognition and coding are carried out, and emotion vector representation is converted; s4, identifying and coding a vertical field, and converting vertical field vector representation; s5, fusing the text vector, the emotion vector and the standing vector by adopting a splicing fusion mode, and outputting historical session vector representation of emotion enhancement; and S6, generating the response of the intelligent customer service, and adjusting a generation strategy according to the emotion intensity and the standing trend. According to the emotion-enhanced historical session representation and drive response generation method provided by the invention, the LLM structure does not need to be modified, the compatibility and expansibility are high, the deployment is convenient, and the pertinence of customer service response and the user satisfaction can be remarkably improved.

The present invention relates to a marketing method, and more specifically, to a multi-industry synergy sales method involving a broker with applied CPA, wherein when a user utilizes a service through a CPA link, the CPA is paid to the broker to support the broker's sales activities, and objective information from a group of experts stored in a review database is provided to the user to enhance trust between the contracting parties. The present invention for this purpose proposes a multi-industry synergy sales method involving a broker with applied CPA, characterized by comprising: a web server that generates a CPA (Cost Per Action) link including detailed information of multiple expert groups and a unique identification code of a broker; a management database that manages user information, broker information, and expert group information separately in independent DBs; a callback server that transmits the CPA (Cost Per Action) link to the user after a phone call between the user and the broker; and an expert group including one or more of a moving company, a curtain / blind company, a cleaning company, an interior design company, a CCTV company, and an internet subscription company, wherein when a user uses the service through the CPA link, the CPA (Cost Per Action) is paid to the broker. Therefore, the multi-industry synergy sales method involving a broker applying CPA according to the present invention has the effect of increasing user satisfaction by transmitting a CPA link containing expert information to a registered user and paying a certain percentage of revenue for service usage, and improving trust between contracting parties by providing the user with objective information from the expert group stored in the review DB.

This application provides a customer satisfaction assessment method, apparatus, device, medium, and product, relating to the field of artificial intelligence technology. The method includes: obtaining user tags for a target user; generating a questionnaire corresponding to the user tags using a first language model; and conducting multiple rounds of interaction with the target user based on the questionnaire to obtain the target user's customer satisfaction result regarding the questionnaire. This enables the generation of personalized questionnaires for different users, and through multiple rounds of interaction, it allows for in-depth analysis of users' actual usage experiences and problems, providing accurate and reliable data support for downstream scenarios.

The invention relates to a multi-farm picking-distribution integrated scheduling method and system, and relates to the field of agricultural product supply chain management and optimization, and the method comprises the steps: setting a constraint condition for a multi-farm picking-distribution integrated scheduling problem; defining two objective functions, including an operation cost minimization function and a customer satisfaction maximization function; based on the constraint condition and the objective function, establishing a dual-objective model of multi-farm picking-distribution integrated scheduling; and solving the dual-objective optimization model to obtain an optimal solution set, and realizing picking and distribution of agricultural products according to picking and distribution information in the optimal solution set. Picking and distribution links of multiple farms are effectively integrated, and the freshness of agricultural products is effectively guaranteed.

The application relates to a data processing method for intelligent marketing products. First, the financial behavior data of target users is obtained, and a machine learning algorithm is used for clustering. A preset threshold is used to select a target cluster. A matching degree model is defined to evaluate the comprehensive matching degree between users and different loan products, and the preference value of the target cluster is predicted. Then, promotion information is customized according to the sales target, and a marketing influence factor is calculated. According to the matching degree and the marketing influence factor, the recommendation score of each user for each loan product is calculated, the comprehensive score is calculated according to the recommendation score, the loan products are prioritized, and the corresponding marketing strategy is selected. Finally, KPIs related to the marketing strategy are collected, the effect is evaluated, and the strategy parameters are adjusted. Through accurate user data analysis and personalized marketing strategy, the application improves the recommendation accuracy and marketing effect of the loan product, and enhances the user satisfaction and loyalty.

The invention discloses a shopping guide capability improving system and method based on an AI voice work card, and belongs to the technical field of artificial intelligence and intelligent shopping guide. The system comprises a multi-mode voice acquisition and feature extraction module, a crown cancellation model dynamic extraction and scoring module, a dialogue quality evaluation and intention analysis module and a closed-loop feedback optimization and partner training scene generation module, and the four modules form a deep coupling closed-loop cooperative system. The system extracts efficient verbal skills from crown sales samples through an innovative adaptive weight calculation algorithm, quantifies customer intention intensity through a multi-dimensional fusion method, improves shopping guide ability through interactive partner training, realizes system adaptive optimization through a closed-loop feedback mechanism, and improves customer experience. According to the invention, automatic inheritance of sales crowd experience and scientific evaluation and systematic improvement of shopping guide capability are realized, customer satisfaction and sales conversion rate are significantly improved, and the method is suitable for industries requiring shopping guide service, such as extensive home and retail.