11 results about "Service enterprise" patented technology

The invention relates to the technical field of welfare selection, and particularly discloses a welfare scheme selection device based on a large model and a supply chain, and the device comprises a demand collection module which collects the welfare demand data and the service-side supply chain data of a served-side enterprise; the model article selection module generates a plurality of welfare article selection schemes based on a pre-trained article selection large model; the fitness evaluation module analyzes the welfare demand fitness of each welfare selection scheme based on the multi-layer emotion keyword set, the multi-dimensional industry attribute of the served enterprise, the employee age distribution, the employee regional distribution and each selection object in each welfare selection scheme; the optimization degree evaluation module evaluates the optimization degree of each welfare selection scheme based on the welfare demand adaptation degree and the total gross profit of each welfare selection scheme; the scheme screening module takes the welfare selection scheme with the maximum optimization degree as a final welfare selection scheme; and enterprises are assisted to efficiently formulate welfare schemes which meet own requirements, improve employee satisfaction and have economic benefits.

The invention discloses a new energy automobile rental order-charging collaborative energy consumption optimization system and method, and aims to solve the problems of high operation cost, poor user experience and difficult power grid adaptation in the new energy automobile rental industry. The system adopts a layered architecture of a hardware layer, a data layer, a business logic layer and an application layer, the hardware layer collects data of vehicles, charging piles and the like, the business logic layer realizes collaborative management and control through order management, charging scheduling, energy consumption prediction and a strategy optimization module, and the application layer serves enterprises, users and a power grid. According to the method, through data acquisition, order processing, energy consumption prediction, charging plan optimization and dynamic adjustment, peak-valley charging cost reduction, efficient charging pile utilization and power grid load balance are realized. According to the scheme, the enterprise operation cost can be reduced, the user satisfaction degree is improved, the power grid stability is guaranteed, the industry intelligent development is promoted, and remarkable economic and social benefits are achieved.

The invention discloses a human resource outsourcing customer service information processing method based on a third-party communication tool. The method is realized based on a human resource outsourcing service system, a third-party communication tool is carried in the human resource outsourcing service system, and employee position information and employee salary information of a plurality of service object enterprises and ID information of employees in the third-party communication tool are stored in the human resource outsourcing service system; the human resource outsourcing customer service information processing method based on the third-party communication tool comprises the following steps: after an employee in a service object enterprise sends consultation information to a customer service account of a human resource outsourcing service system through the third-party communication tool, responding to the consultation information; and the human resource outsourcing service system automatically obtains the ID of the employee in the third-party communication tool and determines that the employee belongs to a first branch company under the first enterprise group. According to the embodiment of the invention, the reply efficiency and accuracy of a human resource outsourcing service enterprise customer service to a customer enterprise employee consultation problem can be improved.

This invention relates to the field of employee welfare selection technology, and specifically discloses an employee welfare program selection device based on a large model and supply chain, comprising: a demand acquisition module that collects employee welfare demand data and service provider supply chain data; a model selection module that generates multiple employee welfare program selection plans based on a pre-trained large model; a suitability assessment module that analyzes the welfare demand suitability of each employee welfare program selection plan based on a multi-layered sentiment keyword set, the multi-dimensional industry attributes of the employee, employee age distribution, employee geographic distribution, and each selection object in each employee welfare program selection plan; an optimality assessment module that assesses the optimality of each employee welfare program selection plan based on the welfare demand suitability and total gross profit; and a program selection module that selects the employee welfare program selection plan with the highest optimality as the final employee welfare program selection plan; thereby helping enterprises efficiently formulate employee welfare programs that meet their own needs, improve employee satisfaction, and are economically beneficial.

This invention provides a real-time carbon emission monitoring and early warning device for service enterprise equipment. The device includes two mounting brackets, an ultrasonic flow meter, a temperature sensor, and a control unit. Electrically connected to the ultrasonic flow meter and temperature sensor, it calculates the instantaneous thermal power of the equipment or pipeline in real time based on flow rate and the temperature difference between supply and return water. It also calls upon pre-stored carbon emission factors to calculate carbon emissions in real time. An early warning signal is issued when the carbon emission amount or intensity exceeds a set threshold. A data transmission module uploads real-time carbon emission data to a cloud platform or the enterprise's energy and carbon management center, thus relating to the field of carbon emission monitoring. The device has flow and temperature acquisition components and a control unit installed on the supply and return water pipelines respectively. It can be applied to thermal systems in various service scenarios such as air conditioning, boilers, and heat exchange stations. Installation is convenient and does not require large-scale modifications to the existing pipeline network.

A transaction system has Internet-connected partner platforms which display webpages with an Offer-Now button initiating coded instructions to display an electronic input form enabling a person to configure a transaction offer, and an Internet-connected service enterprise providing the coded instructions to the partners, configured specifically to partner requirements. Upon the person activating the Offer Now button from a mobile device, a verification code is sent to the device, to be returned to verify the device, and offer input provided through the device and the electronic form is tracked to be saved as an offer for the transaction.

The invention discloses an enterprise cooperation screening method and device based on machine learning, equipment and a medium, and belongs to the technical field of data processing.The method comprises the steps that related service enterprise sets are matched from to-be-selected enterprises on the basis of resource requirement information, and all service enterprises in the service enterprise sets are selected; based on cooperation matching degree scores between service qualification information and service qualification demand information of the service enterprises, for each service enterprise in the service enterprise set, planning cooperation duration information and enterprise position information based on respective weights, cooperation matching degree scores, cooperation duration scores and logistics scores; and calculating the comprehensive matching degree between each service enterprise and the target enterprise, sorting each service enterprise based on the comprehensive matching degree, and pushing the sorted service enterprises to the target enterprise, so that the technical problem that the finally selected cooperative object is not satisfactory due to the fact that the multi-aspect requirements of cooperation cannot be comprehensively considered in the enterprise screening process is solved.

The invention provides a door-to-door service personnel scheduling method considering customer satisfaction and service types, and relates to the field of service scheduling, and the method comprises the steps: determining the demand service information of a customer in response to a service request signal initiated by the customer; constructing a door-to-door service personnel scheduling optimization model by considering the total operation cost of the enterprise, the customer satisfaction and the service type; constructing a chromosome coding and decoding mechanism, designing a genetic operator and a variable neighborhood search mechanism, and constructing a composite search strategy comprising three differentiated neighborhood structures to determine an improved genetic algorithm; and solving the door-to-door service personnel scheduling optimization model based on an improved genetic algorithm to obtain a corresponding service personnel scheduling scheme. According to the model and algorithm provided by the invention, accurate matching of customer-service personnel skill types in scenes such as home-based care for the aged and home appliance maintenance can be realized, individual demands of customers are met, meanwhile, the operation cost of service enterprises is effectively reduced, and the customer satisfaction is improved.

The application discloses a message efficient distribution system and method of intelligent learning strategy, and belongs to the technical field of computer information processing. The system comprises a collection, a preprocessing, a large model and a distribution decision server which are communicated in sequence, the large model is the core, the NLP, deep learning and other technologies are fused to extract the message theme, appeal and regional characteristics, the adaptive distribution strategy is formulated, the distribution decision server realizes distribution execution, fault handling and whole-process recording, and the collection server can be upgraded to a multi-modal type. The method comprises data collection, preprocessing, large model analysis, distribution decision execution and adaptive adjustment steps, and further expands a multi-modal data processing step. The application realizes message automation and precision distribution, improves the distribution efficiency and accuracy, has intelligent learning and adaptive ability, supports multi-modal message processing, reduces labor cost, and is suitable for message distribution scenes such as government services and enterprise customer services.

Data associated a plurality of user interface elements may be retrieved from at least one database associated with a service business, such as a casino. At a first time, a first indication to turn on a first subset of the plurality of user interface elements may be received. The user interface elements may include content management, task management, property management, action management, player profiling, comp management, player development, asset tagging and flagging, profitability and comparative analysis, etc. Each of the first subset of user interface elements may be populated with the respective data associated that user interface element.

The invention discloses a software as a service (SaaS) system for improving the organization efficiency of a socialized old-age service enterprise terminal, which relates to the technical field of digital old-age service and comprises a basic support layer, a business operation and resource coordination layer and a risk identification and risk management layer. Production elements such as human, financial, material, affair, risk, standard and flow in the old-age service enterprise are coordinated and managed, so that the organization efficiency improvement and cost optimization of the old-age service enterprise side are integrally improved.