57 results about "Satisfaction level" patented technology

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.

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.

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 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 application discloses a large model-based information pushing strategy generation method and device, a storage medium and computer equipment. The method comprises the following steps: first, obtaining customer original behavior data and dividing time and space dimensions, and constructing a time-space fusion similarity matrix according to the time and space dimensions; second, constructing a graph structure with the customer as a node and extracting customer fusion features; third, searching and matching knowledge information in a preset knowledge base; and finally, constructing prompt words based on the knowledge information and the customer fusion features, and generating an information pushing strategy by a strategy generation large model. The method can be applied to the information pushing strategy generation scene of financial technology and medical health, can help to deeply mine the potential law of customer behavior, accurately grasp the needs of customers in different scenes, improve the accuracy and individuality of the information pushing strategy, improve the efficiency and effect of information pushing, and further improve the satisfaction of customers. The method can be applied to the financial technology and medical health scene.

The application belongs to the technical field of cigarette distribution, and discloses a cigarette distribution intelligent scheduling system based on loading rate self-adaptive adjustment. By introducing the intelligent scheduling system, the existing technical problems in the field of cigarette distribution are solved, and significant technical progress is brought. The system not only improves the efficiency and accuracy of distribution, reduces transportation cost, but also improves the management level and customer satisfaction of enterprises. With the continuous development of the logistics industry and the intensification of market competition, the application prospect of the application will be wider, and more development opportunities and competitive advantages will be brought to the cigarette distribution enterprises.

The application discloses an order production scheduling and real-time early warning management system, comprising an order scheduling module, a process tracking module, a progress early warning module and a resource board module, wherein the order scheduling module is configured to determine scheduling information according to order product information; the process tracking module is configured to track the current state of the product by associating the ERP, MES and PLM systems; the progress early warning module is configured to conduct multi-level comprehensive risk early warning according to the current date, the delivery date and the current state; and the resource board module is configured to summarize order product production information and conduct statistical analysis. The application also discloses an order production scheduling and real-time early warning management method. The application can deeply integrate specific business knowledge, realize full closed-loop management from intelligent scheduling to real-time early warning, fill the digital gap between the planning and execution layers, and improve the overall operation resilience, delivery reliability and customer satisfaction.

The utility model relates to box body stacking technical field discloses a kind of stacking device, including first fixed plate and second fixed plate;Wherein, first fixed plate includes first fixed plate ontology and the first moving piece being set on first fixed plate ontology;Second fixed plate includes second fixed plate ontology and the second moving piece being set on second fixed plate ontology;First fixed plate is fixedly connected with second fixed plate and forms right angle;The lower end of first fixed plate and second fixed plate is respectively provided with fixed part, and fixed part is used to fix stacking device.The utility model provides a kind of stacking device, staff in the process of placing multiple boxes under folding state on pallet, only need to place pallet under stacking device first, then place each box under folding state closely first fixed plate and second fixed plate on pallet, can make multiple boxes under folding state neatly stacked on pallet, to improve customer satisfaction.

This invention provides an information processing device, an information processing method, and a program that help to suppress a decline in customer satisfaction when responding to customer inquiries. [Solution] In the information processing device 100, the reception unit 110 receives a method selection signal regarding the method of response from the caller terminal. The determination unit 120 determines, based on the method selection signal, whether the caller is requesting a response from generative artificial intelligence or a response from a human. If the response generation unit 130 determines that the caller is requesting a response from generative artificial intelligence, it receives the inquiry from the caller, selects one generative artificial intelligence from a plurality of pre-prepared generative artificial intelligences, has the selected generative artificial intelligence generate a response, and transmits the response generated by the generative artificial intelligence to the caller terminal. If the connection processing unit 140 determines that the caller is requesting a response from a human, it connects the caller terminal and the staff terminal so that they can communicate.

To provide information processing equipment, etc., that helps to suppress a decline in customer satisfaction when responding to customer inquiries. [Solution] In the information processing device 100, the reception unit 110 receives a method selection signal regarding the method of response from the caller terminal. The determination unit 120 determines, based on the method selection signal, whether the caller is requesting a response from generative artificial intelligence or a response from a human. If the response generation unit 130 determines that the caller is requesting a response from generative artificial intelligence, it receives the inquiry from the caller, selects one generative artificial intelligence from a plurality of pre-prepared generative artificial intelligences, has the selected generative artificial intelligence generate a response, and transmits the response generated by the generative artificial intelligence to the caller terminal. If the connection processing unit 140 determines that the caller is requesting a response from a human, it connects the caller terminal and the staff terminal so that they can communicate.

The application provides a door and window production quality management method and system, relates to the door and window production quality management field, obtains performance data of doors and windows in actual use environment, identifies performance decline events, extracts environmental condition information and performance change information before and after the occurrence of the performance decline events, constructs scene feature description, traces back to the whole life cycle quality data of the doors and windows based on the scene feature description, identifies potential deviations activated and shown under specific transient stress corresponding environmental conditions, generates quality problem attribution reports and optimization suggestions according to the identified potential deviations, and can effectively solve the technical problems that in the prior art, when performance of door and window products declines in long-term operation, it is difficult to establish a clear cause-and-effect chain, and potential reasons cannot be effectively identified and attributed, so that the long-term reliability and user satisfaction of the door and window products are significantly improved.

The application relates to the technical field of data processing, in particular to a communication equipment service quality dynamic evaluation and optimization system based on customer follow-up visits, which comprises an acquisition module, an abnormality judgment module, a cause analysis module, a feature calculation module, a quality evaluation module, an output module and an adjustment module. The application identifies unexpressed attitudes according to the time sequence entropy value of the emotional score sequence; quantifies the deviation degree of explicit expression and implicit emotion through the KL divergence of IVR keys and voice emotion; cross-verification of the follow-up text semantics and the time consumption of the maintenance process is carried out to realize cause tracing; the information content behind the silence is quantified, comprehensive judgment is realized through the calculation of the quality deviation degree; the threshold is dynamically adjusted according to the fluctuation characteristics of the deviation degree to form a closed loop, and the problems of low real experience recognition accuracy and low service quality abnormality cause detection accuracy caused by excessive dependence on single satisfaction score and the inability to recognize complex emotional guidance are effectively solved.

The application discloses a kind of business evaluation processing method, device and electronic equipment.It relates to computer multimedia information processing field, which comprises: obtaining M internal evaluation information obtained in target business system, and N-M external evaluation information obtained outside target business system;Determine the satisfaction level corresponding to N business evaluation information respectively, and determine the influence range corresponding to N-M external evaluation information respectively;Based on the satisfaction level corresponding to N business evaluation information respectively, determine the comprehensive satisfaction level of target business;Based on the influence range corresponding to N-M external evaluation information respectively, determine the comprehensive influence range of target business;According to comprehensive satisfaction level and comprehensive influence range, determine the evaluation result of target business.Through the present application, the problem that business evaluation information collection is not comprehensive in related technology, leading to low accuracy of business evaluation is solved.

This application relates to the field of cross-border trade process optimization technology, and discloses a method, apparatus, computer equipment, and storage medium for optimizing cross-border trade processes. The method includes: acquiring information about goods to be traded across borders and customs clearance information; generating multiple preset dimensions based on the goods information and customs clearance information; collecting dimension values ​​corresponding to the preset dimensions from a preset knowledge graph to form a state space; wherein the state space is the space corresponding to all preset dimensions; and optimizing the state space using a preset learning algorithm to obtain an optimized customs clearance process. The beneficial effects of this invention are: making cross-border trade processes more flexible and adaptable, improving overall operational efficiency, shortening customs clearance time, enabling enterprises to optimize resource allocation, reduce operating costs, and ultimately improve overall market responsiveness and customer satisfaction.

This application provides an AI-powered call transfer method, apparatus, electronic device, and medium, comprising: responding to a detected call transfer to human agent, extracting session parameters from the current AI interaction process and querying full metadata parameters associated with the currently interacting user; fusing the session parameters and full metadata parameters to obtain a complete transfer parameter package; generating a transfer work order based on the transfer parameter package using a large language model; and sending the generated transfer work order to the target human agent's port. This invention achieves seamless integration from AI interaction to human service, significantly improves the integrity of context transmission, greatly reduces the number of times users repeatedly describe their problems, and effectively improves customer satisfaction and service efficiency.

The application is suitable for the field of customer marketing technology in the home decoration industry, and provides a multi-party fission customer acquisition method and system based on home decoration completion acceptance, wherein the multi-party fission customer acquisition method based on home decoration completion acceptance comprises the following steps: collecting a plurality of normalized parameters of the owner in the home decoration project completion acceptance stage and a preset time thereafter, wherein the parameters at least include satisfaction, active sharing willingness, after-sales response sensitivity and customer influence density; inputting the collected parameters into a preset fission potential model to calculate the fission potential index of each owner. In the application, the four normalized parameters of satisfaction, active sharing willingness, after-sales response sensitivity and customer influence density are collected in the completion acceptance golden window period, and the fission potential index of each owner is calculated by using a product type fission potential model with cross terms, so that high, medium and low potential owners can be objectively and quantitatively identified, and resource waste in traditional extensive marketing can be avoided.

A customer issue resolution system and methods for resolving a customer issue include receiving an audio interaction between a customer and an agent; converting the audio interaction into text; identifying a customer issue in the text of the interaction; performing a semantic search in a vector database for the customer issue in past customer interactions of a plurality of customers; obtaining a plurality of transcripts of past customer interactions from the vector database that match the customer issue, where the customer issue was resolved, and that have a threshold customer satisfaction score; constructing a large language model (LLM) prompt based on the obtained plurality of transcripts and the customer issue; executing the LLM prompt to return a recommendation to resolve the customer issue; and displaying the recommendation to the agent in real-time.

The application provides a customer reputation index prediction method and device, electronic equipment and a computer readable storage medium, and relates to the technical field of business intelligent analysis. The prediction method comprises the following steps: obtaining a dialogue text of a customer and a current service of a customer service; performing service classification on the dialogue text to obtain a customer label of the current service; performing emotion classification on the dialogue text to obtain a customer emotion label of the current service; and predicting a customer reputation index of the current service based on the customer label and the customer emotion label of the current service. At least, the problems of large amount of text analysis data, poor emotion analysis accuracy and poor customer reputation prediction accuracy in the related art are solved. The application is suitable for business satisfaction prediction and evaluation scenarios.

A kind of snow stud tire pattern structure, it is related to tire technical field, including tire tread, the tire tread is equipped with shoulder block, longitudinal groove, secondary intermediate block, intermediate block, secondary intermediate block, longitudinal groove and shoulder block in proper order from left to right, the shoulder block, secondary intermediate block and intermediate block are all provided with stud hole, the stud hole is distributed on the tire tread of whole week tire, the outer periphery of the stud hole is provided with block, the block includes tooth block and double-layer tooth block, the tooth block and double-layer tooth block are spaced apart along the outer periphery of stud hole, the utility model discloses a block is set to the outer periphery of stud hole, can reduce the damage of stud on snow stud tire to road, can further improve the adhesion of snow stud tire, to reduce dispute and complaint, improve customer satisfaction.

The application provides a product upgrade optimization method and system, and the method comprises the following steps: obtaining a standardized questionnaire for a target product, the standardized questionnaire comprising a net advantage value related item set and a satisfaction related item set, the net advantage value related item set comprising question-answer items for calculating a net advantage value index of the target product, the net advantage value index being used to represent the judgment of a target user group on the relative service level of the target product in the industry to which it belongs, and the Cronbach coefficient of the net advantage value related item set calculated based on a preset internal consistency reliability test strategy being greater than a preset coefficient threshold; obtaining a user reply data set according to the standardized questionnaire, the user reply data set comprising reply texts of the target user group to the standardized questionnaire; and determining the upgrade demand of the target product according to the user reply data set. The method can effectively improve the efficiency and effect of product iteration and optimize the user experience of the product.

The application relates to the field of power big data mining, and relates to a transformer area service quality management method and system based on machine learning, which comprises the following steps: analyzing power work order data to obtain a characteristic variable data set; constructing a data simulation neighborhood interpolation algorithm to realize data enhancement; obtaining new features by using an Xgboost model according to the enhanced data set; inputting the new features and the characteristic variable data set into a logistic regression classifier after recombination to obtain a prediction result of customer service satisfaction; establishing a customer behavior portrait and performing clustering analysis on customers from the perspective of value stratification; calculating the values of various indexes, constructing an entropy algorithm to obtain the weights of the various indexes, and calculating the service quality scores of various transformer areas; and comprehensively adjusting the service quality of corresponding transformer areas according to the prediction result of customer service satisfaction, the clustering analysis result and the service quality score. The application effectively predicts customer satisfaction by constructing new features, evaluates power supply service quality by using an entropy algorithm, and comprehensively realizes the management of transformer area service quality.

This invention discloses a smart parcel locker location selection method based on IF-WSP. It utilizes interval fuzzy numbers to establish a fuzzy evaluation matrix, defines random floating parameters, and uses these parameters to weight and integrate expert opinions. An improved chaotic mapping function based on nonlinear perturbation is employed. The method calculates cumulative and summative location selection schemes based on evaluation standard weights, generates a chaotic threshold using the nonlinear perturbation chaotic mapping function, and uses this threshold to perform multiple synthesis of the cumulative and summative location selection schemes. The average location score is then used for defuzzification to determine the final location result. Compared with existing technologies, this invention uses fuzzy logic to transform expert opinions into mathematical expressions and combines them with weighted aggregation and multiplication, fully considering the satisfaction of different customers. This results in parcel locker locations that are closer to customer needs, improving the performance of the parcel lockers and demonstrating significant social value and market application prospects.

The application relates to the technical field of data processing, and provides an interaction method and device based on an intelligent beverage shelf, equipment and a medium, the method of which is applied to the intelligent beverage shelf, the main body of the intelligent shelf and an ice cup freezer are concentrated together, and the time for consumers to search is reduced; when a target user enters an induction range is detected based on a store-wide intelligent AI super induction device, a starting signal is sent to a display screen, so that the customer waiting time is reduced by starting the display screen in advance; the beverage taken by the customer is accurately captured based on a trigger switch; candidate beverage making videos are extracted from a beverage making video database based on target beverage information, so that the beverage and the modulation video are quickly matched; a confirmation application of a video display mode is initiated to the target user based on a digital person, and the candidate beverage making video is played on the display screen according to the target video display mode, so that the beverage making video is accurately played through human-computer interaction, and the customer participation and satisfaction are improved through vivid video demonstration.

The application provides a kind of method for automatically identifying similar materials in magnetic material industry, comprising the following steps: S1: inventory module stores material information;S2: configure category determination rule;S3: input the material name of material, determine shape category;S4: input material name is decomposed according to shape category specification parameter, match determination rule, obtain condition A;S5: find all materials meeting condition A in material database, obtain result set B;S6: find the inventory quantity of each material in result set B in inventory database.The application can find all convertible inventory without dead angle and omission when enterprise receives enterprise order production plan, reduce inventory, improve inventory turnover, reduce stagnant material, reduce production time, deliver goods as soon as possible, improve customer satisfaction and improve enterprise operating efficiency.

This application relates to a method, apparatus, device, and medium for managing integrated online and offline marketing channels. The method includes: grouping and processing data based on original channel attribute data to generate a channel priority model; cleaning customer interaction path records in interaction logs to generate a cleaned path record set; identifying bottlenecks based on the cleaned path record set to generate a bottleneck set; integrating the bottleneck set with historical promotion effect records to generate an optimized interaction path; evaluating available indicators in the resource pool to generate an adjustment plan; if the adjustment plan's coverage is insufficient, optimizing node weights to generate an enhanced flow mechanism; and verifying customer satisfaction data based on the enhanced flow mechanism to generate an optimized configuration. This method enables efficient collaboration between online and offline marketing channels, optimizes resource allocation, and improves customer experience and marketing effectiveness.

This invention relates to the field of big data analytics, and discloses a method and system for analyzing consumer behavior in cultural tourism marketing. The invention quantifies the impact of context by introducing context intensity and duration, and dynamically adjusts user preference weights accordingly. This allows the system to more sensitively capture and respond to the user's real needs in the current context, avoiding erroneous recommendations caused by over-reliance on long-term preferences. Furthermore, the progressive weight recovery mechanism effectively avoids the problem of over-correction that may occur after the context ends, ensuring the consistency and stability of recommendations. Therefore, this invention effectively solves the problem in existing cultural tourism marketing systems where the recommendation decision-making mechanism becomes rigid and unable to accurately respond to the user's immediate needs when the user's travel context changes temporarily; it significantly improves the accuracy of cultural tourism marketing recommendations and user satisfaction, optimizes user experience, and improves the utilization efficiency of marketing resources.

This application relates to the field of repair table technology and discloses a stainless steel multifunctional PCBA repair table, including a stainless steel support frame. A base plate, a repair tabletop, and shelves are fixedly installed inside the stainless steel support frame. The base plate is located below the repair tabletop, and the shelves are located above the repair tabletop. A first fixing frame and a second fixing frame are fixedly installed on the top of the base plate, with the first fixing frame located to the left of the second fixing frame. This application has the following advantages and effects: By using stainless steel, a multi-dimensional stress structure can be formed, enhancing the overall resistance to deformation and reducing frequent purchases due to table damage, thus lowering long-term procurement costs. The inclusion of a storage mechanism and a material collection mechanism allows for a pull-out design, enabling complete storage inside the table when not in use. This ensures that the tabletop and surrounding area are free of exposed clutter, resulting in a clean and orderly overall appearance and improving customer satisfaction during visits.