28 results about "Customer delight" patented technology

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.

This utility model relates to a magic arm, comprising a first swing arm, a second swing arm, a rotating structure, and a damping structure. One end of the first swing arm is used to connect to photographic accessories, and one end of the second swing arm is also used to connect to photographic accessories, with the other end rotatably connected to the other end of the first swing arm. The rotating structure and the damping structure are located at the rotatable connection between the first and second swing arms. The damping structure is a damping structure for relative rotation between the first and second swing arms. A universal ball joint is provided on the first and / or second swing arms. This application enables stepless adjustment of the angles of the two swing arms and hovering at any position, saving operation time and providing convenient and quick operation, thus improving customer experience and satisfaction. In the locking mechanism of this application, when unlocking, the push rod remains pressed against the ball head under the action of the spring, providing a damping function and preventing the ball head from moving freely without external force.

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 application discloses a method for solving a multi-vehicle covering distribution problem by using a state-guided reinforcement learning driven evolution algorithm, and comprises the following steps: constructing a customer satisfaction function by using a questionnaire survey, and establishing a mathematical model of the multi-vehicle covering distribution problem; generating an individual and calculating an individual fitness value; selecting two parent individuals by using a roulette strategy, performing cross operation on the two parent individuals, and then putting the two parent individuals into a first individual pool; randomly selecting an individual from the first individual pool, calculating S1 and S2, selecting a crossover operator by using a guided reinforcement learning mechanism, performing the crossover operator to obtain a new individual, and putting the new individual into a second individual pool; calculating a reward value of each mutation operator; combining the first individual pool and the second individual pool, eliminating repeated individuals, and updating an optimal solution; when a termination condition is met, outputting the current optimal solution. The application constructs a mathematical model for simultaneously optimizing a distribution route and a PL selection, and solves the mathematical model by using an evolution algorithm driven by a reinforcement learning, so that a better result can be obtained in a shorter time, and better performance is achieved.

This invention relates to the field of intelligent vehicle control technology, and more particularly to a remote control method and device for autonomous vending vehicles. The invention automatically identifies events such as stockouts or the need for remote takeover through real-time sensing data, triggering intelligent decision-making or remote driving intervention on the business platform. Dual-link communication separates key control commands from massive amounts of sensing data, ensuring reliable transmission of remote control commands while providing the platform with real-time environmental awareness capabilities. This method transforms the traditional passive and inefficient operation mode, reliant on manual inspection and on-site handling, into a highly efficient management mode of proactive discovery, intelligent decision-making, and remote safe collaboration. This significantly improves vehicle operating efficiency and resource utilization, reduces reliance on manpower and maintenance costs, and enhances overall intelligence, service reliability, and customer satisfaction in complex scenarios.

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.

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.

This application provides an adaptive path planning method and system for urban distribution networks based on spatiotemporal correlation prediction, relating to the field of urban logistics and distribution technology. First, it obtains a set of constraint parameters for delivery tasks and a set of basic traffic parameters for the urban road network structure. Then, it constructs an initial solution space set for delivery paths based on these parameters. Next, it analyzes the travel time dependency relationship of road segment allocation sequences, generating travel time correlation parameters and travel time impact propagation parameters. Finally, it performs structural redundancy identification and dynamic response integration processing based on these parameters to generate a path decision set responding to real-time traffic events. This invention can perceive traffic conditions in real time and dynamically optimize delivery paths, improving delivery efficiency, accuracy, and reliability, reducing delivery costs, and enhancing customer satisfaction.

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 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.

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.

The utility model discloses a novel replacement body hole pattern, through the traditional 3Shape or EXO database in the replacement body hole pattern suitable for digital replacement body installation is changed into the novel replacement body hole pattern suitable for abutment and screw installation in the utility model, and software operation design restoration body and model main part, and the model main part is equipped with the cavity, and the inner chamber shape of cavity is suitable for the novel replacement body hole pattern, and the restoration body abutment is installed in the cavity through screw and gets the 3D printing work model of exempting from replacement body. The utility model discloses the 3D printing work model of exempting from replacement body, does not need to install replacement body, and more does not exist the problem of repeatedly using replacement body, avoids appearing the problem of the precision of restoration body descending because of replacement body abrasion, improves product pass rate and customer satisfaction degree, and reduces the rework cost and customer maintenance cost.

This invention discloses a packaging and protection method for precision strip steel used in automotive corrugated pipes during export transportation, belonging to the field of metal material anti-corrosion packaging and logistics transportation technology. This invention optimizes the wooden frame structure design, employing multiple protective structures including woven corrugated paper, plastic sheeting, plastic protective plates, inner and outer protective rings and end plates on both sides of the steel coil, and steel strapping. It also standardizes the precise dosing of desiccant; strengthens interface sealing and internal cushioning; and changes the position of the plastic sheeting interface. This invention effectively solves the problems of rust, impact, and rollover of steel coils during long-distance sea transport, significantly reducing the rust rate and impact damage rate of steel coils, reducing quality disputes and resulting economic losses, improving brand reputation and customer satisfaction, and has significant economic benefits and promotional value.

The application discloses a kind of commodity data analysis method and device, the method includes: based on customer value analysis model, by the quantitative analysis of the transaction behavior of different customers in different merchants, determine customer value value;Different customers are clustered according to customer value value using clustering algorithm based on geographic balance;According to clustering analysis result and customer occupation image, the customer label of different customers is generated;According to the commodity attribute data and commodity transaction record of merchant, the commodity similarity matrix of different merchants is constructed;According to the transaction data and business circle data of merchant, the merchant is classified, and the type label and business circle label of different merchants are determined;According to the customer label, commodity similarity matrix, type label and business circle label, the store commodity recommendation list of merchant is generated.The application is used to improve the accuracy of commodity recommendation and customer satisfaction, optimize the commodity structure of merchant, realize the fine management and personalized recommendation of merchant.

The present application relates to the field of charging equipment, and particularly relates to an automatic processing method and device for charging equipment exception. An automatic processing method for charging equipment exception comprises the following steps: setting a charging equipment exception rule library; when the charging equipment is in an exception rule in the exception rule library, automatically executing a preset processing method for the exception rule. The response speed of operation and maintenance is improved, the previous manual intervention processing is changed into a response speed of seconds, the shutdown loss is greatly reduced, the false alarm rate is greatly reduced from 30% to 5%, the exception rule maintenance efficiency is greatly improved, the time consumption of new equipment rule configuration is reduced from 2 hours to 5 minutes, the labor cost is greatly reduced, the proportion of automatic recovery of the equipment is greatly improved, the automatic recovery rate reaches 95%, the availability rate is improved to 99.5%, and the customer satisfaction is improved.

The present disclosure relates to systems and methods for vehicle operation. Methods and systems are provided for controlling a vehicle operating parameter as a function of whether the vehicle is operating within an area defined by an adjustable geographic boundary, which is defined based on wireless communication between the vehicle and infrastructure. In one example, a method includes determining that the vehicle has entered an area defined by an adjustable boundary, and adjusting a control map of an acceleration control of the vehicle in response to the determination. In this way, fuel economy, emissions, and customer satisfaction can be improved.

This invention discloses a distributed customer management system and its implementation method for the insurance industry, belonging to the field of information technology in the insurance industry. Addressing the problems of fragmented customer management information, services, data silos, and outdated architecture in traditional customer management systems, the system adopts a distributed microservice architecture, integrating multiple service modules such as lead generation, marketing activities, and customer resources, encompassing a three-layer architecture design of application, technology, and deployment. It supports multi-terminal access (A-end, C-end, E-end) and achieves front-end interaction through a unified interface. Leveraging data storage, data analysis, and intelligent tools, it achieves centralized management of customer information, automated service processes, and precise marketing, while also possessing functions such as compliance auditing and multi-channel communication. This system effectively improves customer management efficiency and customer satisfaction, enhances system scalability and maintainability, and provides insurance companies with an efficient and intelligent customer management solution, applicable to various customer management scenarios in the insurance industry.

This invention relates to a digital twin-based intelligent scheduling and optimization method for the entire e-commerce warehousing process, comprising: acquiring real-time data on equipment status and storage location adjustments from the warehousing environment through a sensor network; simulating the entire order processing process using a digital twin model based on the real-time data to obtain a scheduling path; acquiring real-time tracked digital objects based on the scheduling path; predicting order conflicts under peak scheduling using machine learning algorithms based on the digital objects to identify bottlenecks in the supply chain; coordinating equipment status and order processing through a dynamic allocation algorithm for the identified bottlenecks to obtain a coordination solution that improves customer satisfaction; and simulating the entire warehousing management process based on the obtained coordination solution to obtain the final optimized output. This invention can achieve highly efficient and intelligent warehousing scheduling, reduce conflicts, lower costs, and improve the overall supply chain operational efficiency.

The application discloses a kind of finished oil distribution path planning method and device, wherein the method includes: with the total transportation cost minimization as objective function, with customer satisfaction, carbon emissions, transportation risk and mileage utilization as additional objective function, establish path planning model;Using density-based hierarchical clustering algorithm, based on the path planning model, according to the vehicle density, the tank truck of different gas stations is combined, to determine the vehicle load path of finished oil between gas stations;Using genetic algorithm, based on path planning model, establish the vehicle coding corresponding to the combined vehicle;According to the standard deviation of the calculated different combined vehicle mileage saving, generate initial population and carry out cross and mutation operation, to determine the combined vehicle load path of finished oil between different oil depots;Generate the path planning scheme of finished oil distribution and output.The application is used to improve the efficiency and accuracy of finished oil distribution path planning.

The application provides an asset allocation strategy generation method and system of a financial institution, which can be used in the financial field or other fields. The method comprises the following steps: obtaining a state matrix, wherein the state matrix is constructed by multi-dimensional data, and the multi-dimensional data comprises a market fluctuation index, asset historical returns and a customer portrait vector of a customer; obtaining respective corresponding asset weight adjustment vectors according to the state matrix and a plurality of single-agent strategy networks; optimizing network parameters of each single-agent strategy network according to a multi-objective reward mechanism and the asset weight adjustment vectors of each single-agent strategy network to obtain a trained multi-agent model, wherein the trained multi-agent model comprises a plurality of trained single-agent strategy networks; and applying the trained multi-agent model to generate an asset allocation strategy of a target customer in the financial institution. The application can generate an asset allocation strategy in combination with market trends and customer investment preferences, improve the accuracy of the asset allocation strategy and improve customer satisfaction.

The application relates to the field of customer complaint management, and specifically discloses a customer complaint intelligent management method and device and electronic equipment. First, customer complaint text data, customer complaint audio data and customer complaint picture data collected by a complaint platform are acquired, then deep learning technology is used to perform feature extraction and correlation analysis on the three, and finally, a classifier is used to obtain customer complaint problem classification labels, so that more comprehensive and accurate problem identification is realized, and then the enterprise is helped to quickly respond, improve products or services, optimize the complaint management process, and improve customer satisfaction and loyalty.

This utility model discloses a high-strength magnetic chuck type quick-release fixture for milling cutters, comprising: a spindle and a milling cutter. The upper surface of the spindle's output shaft has an embedded magnetic groove. A gear plate and a magnetic chuck are sequentially fixed to the lower surface of the milling cutter. The milling cutter can be magnetically inserted into the magnetic groove via the magnetic chuck. Locking mechanisms are slidably installed at both ends of the output shaft. These locking mechanisms allow the magnetic chuck to automatically and synchronously move inward and engage with the gear plate while simultaneously sliding against the upper surface of the magnetic chuck. Through the design of the locking mechanism, the installation and removal of the milling cutter only requires insertion and pinching, eliminating the need for additional actions. This significantly improves the efficiency of high-frequency tool changing in multi-process, multi-tool machining scenarios, reducing equipment downtime, increasing processing output per unit time, helping companies meet urgent order demands, and improving customer satisfaction and market competitiveness.

The application discloses a claim settlement task dispatching method and device, computer equipment and a storage medium. The method comprises the following steps: obtaining the historical task amount received by each claim settlement worker within a set time and the task completion condition of each historical task; respectively counting the task amount corresponding to each task completion condition and the number of claim settlement workers, and respectively calculating the cumulative percentage of the number of claim settlement workers in the total number of claim settlement workers under each task completion condition; generating a task dispatching curve graph composed of the task amount and the cumulative percentage according to the cumulative percentage calculation result; formulating a dispatching strategy according to the task dispatching curve graph, and performing claim settlement task dispatching according to the dispatching strategy. The application can intelligently match the task amount of each person, solve the problem of uneven task amount matching caused by difficulty factors, and can guarantee customer experience and improve customer satisfaction.