22 results about "Market management" patented technology

The invention relates to the field of intelligent management, and provides a data management method for a digital decision support platform, which makes and adjusts a strategic plan through a strategic management module, ensures that resource allocation is matched with a strategic target, monitors and analyzes financial data through a financial management module to dynamically manage and control financial budget and fund security, and provides a data management method for a digital decision support platform. The marketing activity effect is planned and evaluated through the market management module, the project progress and quality are tracked through the project management module, risk early warning is carried out based on progress reports and quality detection records of a plurality of sub-projects, recruitment, training, performance assessment and salary management are processed through the human resource management module, and the marketing activity effect is evaluated through the human resource management module. And the culture management module analyzes enterprise culture and carries out culture propaganda and training activities. Therefore, through the digital and intelligent management of each module, the decision-making efficiency and management level of an enterprise can be effectively improved.

The invention provides a medical enterprise network marketing management platform and method based on big data, and particularly relates to the technical field of marketing management. The medical enterprise network marketing management method based on big data comprises the steps of collecting historical marketing data, and constructing a first marketing data set corresponding to each medical product type; the sales volume difference feature of each first marketing data set is extracted, and the sales volume difference feature of each first marketing data set is generated; clustering the plurality of first marketing data sets to generate a plurality of second marketing data sets; constructing a training data set and training the sales volume prediction model; and obtaining target marketing data in the target time period and processing the target marketing data through the sales volume prediction model to generate a sales volume prediction result of the target medicine product type. According to the invention, accurate prediction of the sales volume of the medicine products is realized through the sales volume prediction model, so that a medicine enterprise is helped to better insight into the market and make a strategy, and development of the medicine enterprise is promoted.

The application discloses a kind of control enterprise fuel end carbon emission factor dynamic calibration method and system, by establishing different coal classification identification model, the prediction model of coal combustion carbon emission factor CEF, element carbon content C, low calorific value NCV is established, according to the error absolute value of prediction result further analysis the prediction model, the calibration threshold of three is determined respectively, and the rationality of coal-fired carbon emission factor data of enterprise is carried out automatic calibration using three-level data calibration rule, can identify abnormal data in time, effectively assist third party verification organization to calibrate the accuracy and rationality of enterprise fuel end carbon emission factor result, to effectively guarantee carbon emission accounting data quality.In addition, it also provides basic data support and guidance for the design and operation of carbon market, which helps market managers to master the carbon emission factor trend of different activities and industries, so as to set reasonable carbon emission limit and pricing, effectively guide and promote emission reduction action.

The invention discloses a supply chain e-commerce system and method. The system comprises a commodity production management module, a logistics management module, a commodity traceability module and a terminal market management module. And the terminal market management module is used for measuring and calculating future market demands through a demand prediction model based on the reservation information containing the user levels and the purchase information, and generating technical instructions for guiding upstream supply chain operation in combination with real-time inventory and production speed, such as inventory early warning or storage scheduling plans. The system also has a self-optimization closed-loop feedback mechanism, takes subsequent actual sales data as new input, and corrects and optimizes the demand prediction model. By constructing a data-driven and self-optimized closed-loop management system, the technical problems that an existing e-commerce platform lacks effective prediction of future market demands and cannot realize prospective and dynamic supply chain management are solved, the precision of production planning can be remarkably improved, and cost reduction and benefit improvement are realized.

The invention discloses a stock price collapse risk analysis reference system based on stock market interaction data identification, and relates to the technical field of stock market management systems. The stock price collapse risk analysis reference system based on stock market interaction data identification comprises a multi-modal data acquisition and processing module, a group behavior mode modeling analysis module, an enhanced emotion analysis and antagonism defense module and a risk early warning model construction and verification module. By integrating multi-source data and applying an attention mechanism to dynamically distribute weights, the comprehensiveness and accuracy of data processing are improved; a directed weighted graph and an SIR model are utilized, key nodes are identified more accurately, and negative emotion diffusion is simulated; an XGBoost model is adopted to output an emotion label, so that the accuracy of emotion recognition is enhanced; noise interference is effectively filtered by generating an adversarial sample and a dual machine learning framework; multiple factors are integrated, the weight is dynamically adjusted by adopting a LightGBM model, and the stability of the model and the accuracy of early warning are ensured through back testing and real-time monitoring.

The invention relates to the technical field of Internet, and discloses a green integral ecosystem for constructing a unified large market in consumption internal circulation, and an internal circulation consumption system in the invention comprises a user management module, a supply chain management module, an e-commerce platform management module, a consumption sharing management module, a consumption internal circulation market management module and a log recording module. The e-commerce platform management module comprises a merchant benefit offering management part, a green point storage part, a green point consumption management part, a digital asset management part and a bank card binding management part, and the green point consumption management part comprises a point release unit and a consumption coupon conversion management unit; through the system, a dynamic incentive system for consumption is innovated, a consumption internal circulation unified large market is constructed, the green economic strategy coincidence rate is improved, and quantifiable commercial value is created.

The invention discloses a market management platform based on multi-modal data fusion, and relates to the technical field of market data processing, the management platform comprises a task planning module, a data acquisition module, a multi-modal identification module, a data analysis module and a feedback module, the task planning module is used for planning different feature data, and the data acquisition module is used for acquiring different feature data; the data acquisition module is used for acquiring multi-modal data and classifying the multi-modal data according to the feature data, and the multi-modal identification module identifies the classified multi-modal data, normalizes the identified multi-modal data, and sends the normalized multi-modal data to the data processing module; the system has the advantages that the application fields of different image and video data in the market are analyzed through the multi-modal identification module, and then the multi-modal data models in the different application fields are called to be connected in series, so that the multi-modal data models process single market data; and the analysis accuracy of the fused multi-modal data is improved.

The invention provides a food traceability code management system, and relates to the technical field of food traceability, the food traceability code management system comprises a data acquisition module, an ID generation module, a data storage module, an interface development module, a two-dimensional code generation and display module and a query interaction module, the data acquisition module is used for acquiring or inputting information of a food full circulation link; the ID generation module is used for generating a unique commodity ID code through an ID code automatic generation algorithm; the data storage module is used for matching the commodity ID code with the information of the food full circulation link and then storing the commodity ID code and the information in a server database; according to the invention, the design of fusing the two-dimensional code and the commodity information is adopted, accurate tracing and commodity fleeing management of the whole process of food are realized, a user can comprehensively know all information of the commodity from a production place to a terminal by scanning the code, the convenience of tracing is improved, the commodity fleeing behavior can be effectively identified, and powerful support is provided for enterprise market management.

The invention discloses an intelligent operation and maintenance monitoring method based on a marketing management information platform, particularly relates to the field of intelligent monitoring, and comprises a data acquisition module, a data processing module, an index generation module, an index grading module, an intelligent decision module and an automatic optimization module. According to the method, a stability-efficiency-cost three-dimensional evaluation model is constructed, index quantification is realized by adopting a dynamic weighting algorithm, and the false alarm rate is reduced compared with a traditional static threshold value alarm mode; unified acquisition of heterogeneous data is realized through a distributed sensor network, and compared with a traditional architecture, quick response and positioning are realized; the resource bottleneck during the marketing activity period can be predicted in advance by combining the intelligent decision-making module with historical data pattern recognition, and active prevention is realized; and the quantitative evaluation of the severity of the fault is realized through the index grading module, a multi-level automatic response strategy from slight abnormity to major accidents is supported, and the operation and maintenance cost is reduced.

The invention discloses a centralized transaction market digital management method, equipment and a medium, belongs to the technical field of agricultural product transaction market management, and is used for solving the problems of disordered management of people, goods, places and vehicles, non-standard transaction processes of weighing, settlement and the like, difficulty in statistics of transaction data, high efficiency and the like in the conventional centralized transaction markets such as agricultural product agricultural batch markets and production place transaction markets. And the management and circulation efficiency is low. The method comprises the following steps: monitoring, regulating and controlling personnel factors, cargo factors, site factors and vehicle factors in a transaction market, and generating a transaction market basic management strategy; performing data analysis under related operation management on the transaction data in the transaction market to obtain a transaction market transaction total data analysis strategy; transaction collection and distribution management is carried out on transaction subjects in the transaction market to obtain a transaction collection and distribution management strategy of the transaction market; and digital management of the centralized transaction market is completed.

1. Name of this design product: Marketing Management Sand Table. 2. Purpose of this design: A simulation tool for marketing strategies. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D rendering 1.

1. The name of the design product: account setting area of marketing management graphical user interface of electronic device. 2. The use of the design product: an electronic device. 3. The design points of the design product: the partial graphical user interface in the electronic device. 4. The picture or photo that best shows the design points: design 1 front view. 5. Design 2 is designated as the basic design. 6. The use of the graphical user interface: the graphical user interface is used to manage marketing programs. The partial graphical user interface requesting protection is used to set the basic information related to the account. In response to the user touching or clicking the "account benefits" label in the design 1 front view, the graphical user interface changes from the design 1 front view to the design 1 changed state view to show the specific content of the account benefits. In response to the user touching or clicking the "account benefits" label in the design 2 front view, the graphical user interface changes from the design 2 front view to the design 2 changed state view to show the specific content of the account benefits. In response to the user touching or clicking the "account region" edit button in the design 3 front view, the graphical user interface changes from the design 3 front view to the design 3 changed state view to show the account region edit area. 7. Other circumstances that need to be explained: the part of the graphical user interface shown by the dashed line in each view of design 1 to design 3 does not constitute the part protected by the design.

A monetary system having at least one financial institution server, at least one market administrator server with special software, where in addition to existing currencies a new currency unit is present, which is a special software, whose value and quantity is calculated in relation to human life value, having a function of categorizing currency unit types for clear managing distributed streams according to the appointed transaction goals. Financial instruments are generated in a new currency and self-liquidating in this currency. A measure of influence of actions in this currency on prices is calculated, and thus composite demand on currencies is calculated. Artificial Intelligence is used for personalization of categorizing currency unit types for clear managing distributed streams according to the appointed transaction goals. Financial institutions are distributing seigniorage between the participants of a monetary system.

The invention provides a power transaction self-adaptive triggering system and method based on multi-agent collaboration. The system comprises a multi-agent collaboration layer module which comprises a power generator agent, a user agent, a power grid operator agent and a market management agent; the self-adaptive triggering mechanism module comprises a triggering condition calculation unit, an event detection unit and a triggering strategy updating unit, and the triggering condition calculation unit is used for fusing event triggering and time triggering; the event detection unit is used for identifying an abnormal event and updating a dynamic threshold value; the trigger strategy updating unit is used for neighbor trigger feedback and priority adjustment; and the communication and calculation optimization module is used for carrying out local calculation and optimizing energy consumption. The method has high robustness, system overhead is reduced, and the sesame effect is avoided; and meanwhile, the market can be efficiently responded, and the hysteresis is greatly reduced.

1. Name of the product in this design: Graphical User Interface for Marketing Management of Bank Branches for Electronic Devices. 2. Purpose of this design: An electronic device. 3. The key design feature of this product lies in its interface. 4. The image or photograph that best illustrates the design's key features: the front view. 5. Purpose of the graphical user interface: The interface is used for marketing management within a three-kilometer radius of bank branches. 6. Human-computer interaction method of graphical user interface: The interface shown in the main view is used to view the overview of the marketing report. Clicking the potential customer button on the main view interface will take you to the interface shown in Figure 1, where you can view the market situation around the corresponding institution. Clicking on a specific market entity on the interface shown in Figure 1 will take you to the interface shown in Figure 2, where you can view the company's detailed information, including basic business registration information, customer profile tags, location information, and travel planning. Clicking the travel planning button on the interface shown in Figure 2 will take you to the interface shown in Figure 3, where you can select driving planning, walking planning, etc., to draw the corresponding travel planning route.

The invention discloses an electricity market mechanism feature analysis method and system based on data mining, and the method comprises the steps: obtaining multi-dimensional market management data of all electricity markets in a selected region, carrying out the market management common feature analysis, and constructing a market transaction constraint condition according to an analysis result, acquiring actual electricity transaction data of each electricity market, performing electricity transaction common feature analysis to obtain market transaction common features, acquiring local electricity market indexes of each electricity market, and analyzing local electricity market transaction personality features to obtain market transaction personality features; and constructing a market mechanism analysis model related to the market transaction personality characteristics and the market transaction generality characteristics, carrying out condition constraint on the market mechanism analysis model in combination with market transaction constraint conditions, and carrying out comprehensive analysis on the electricity market mechanism characteristics to obtain an electricity market mechanism characteristic analysis result taking the electricity market data of the selected region as a reference. The method has the effect of improving the market mechanism analysis accuracy of each electricity market.

The invention relates to the field of market management, provides a market analysis and automatic business decision system and method, and aims to improve the dynamic response speed and decision quality of an enterprise to a market, and the method comprises the steps: building a prediction model based on historical data related to target market analysis or business decision and a corresponding bipartite type target; determining a threshold value for business decision through a model performance evaluation method; and determining a decision rule in combination with a threshold. The data response speed is increased by establishing a prediction model; and the decision-making quality is improved by determining the dynamic threshold value.

The invention relates to the technical field of market management, in particular to an RSC-based market management method and system. The method comprises the following steps: acquiring multi-source market data and user interaction data by using RSC; analyzing user interaction data, and determining a function dependency degree; determining a user viscosity change according to the function dependency degree; analyzing the multi-source market data according to the user viscosity change, and predicting a user loss risk level and a user loss direction; and generating a market analysis report according to the user loss risk level and the user loss direction. The dynamic evaluation of the viscosity change of the user is realized, so that the evaluation is not limited to static snapshot any more, and the deviation caused by ignoring the dynamic restriction of an external market is avoided. Multi-dimensional prediction of the user loss risk is realized, the defect of dependence on a single data source is avoided, and incomplete prediction caused by functional defects of unprocessed products is avoided at the same time. The timeliness and accuracy of decision making are improved, and invalid reports caused by prediction deviation are avoided.

The invention relates to a transaction work management system and application thereof, an information input module is used for inputting associated information of a transaction work, an authentication management module is used for generating composite authentication information and binding the composite authentication information with the transaction work, and a credible management module is used for managing the associated information of the transaction work and transaction information. An interaction module is used for establishing a single transaction work subspace based on associated information of the transaction work, obtaining interaction information of the single transaction work subspace based on social information, and cooperatively setting a control module; the method is applied to market management, work authentication and sales recommendation systems of transaction works. According to the invention, a credible transaction work authentication management mechanism is established to ensure credibility, safety and transparency of a transaction work transaction market; establishing composite authentication information, and synchronously displaying the transaction credibility and artistic value of the transaction work; transaction works are managed based on social data, a sales recommendation system is established, a transaction work recommendation mode is optimized, and user experience is improved; consumer rights and interests are guaranteed, and market order is maintained.

The invention provides an unmanned market management method and system based on reinforcement learning, and the method comprises the steps: carrying out the source data collection of commodities sold in an unmanned market, generating a commodity source fingerprint set in combination with a chaos algorithm and a verifiable delay function, carrying out the game analysis of the commodity source fingerprint set based on multi-agent reinforcement learning, and carrying out the game analysis of the commodity source fingerprint set. The method comprises the following steps: dynamically pricing each commodity in an unmanned mart, generating a corresponding colored glaze code, constructing a dual-mode transaction platform, carrying out transaction on the dual-mode transaction platform by a user, generating a transaction order, carrying out traceability verification by the user according to the colored glaze code of the commodity in the transaction order, generating a traceability verification result, generating a transaction record data set based on the traceability verification result, and storing the transaction record data set in the unmanned mart. According to the method, the unmanned market is analyzed, an unmanned market management log is generated in combination with a transaction record data set, unmanned market feedback optimization is carried out based on the unmanned market management log, efficient and credible butt joint of supply and demand is realized, and the problem that supply resources of high-quality agricultural products are idle and market demands are mismatched is avoided.

This invention belongs to the field of market management technology and discloses a retail market business system incorporating cultural elements, including a server, a user terminal, and a merchant terminal. The server includes a database and a main control module. The database stores user information, merchant information, cultural element datasets, and digital collection datasets. The main control module communicates with both the user terminal and the merchant terminal, sending order information from the user terminal to the merchant terminal and feeding back order execution information from the merchant terminal to the user terminal. The server also includes a business interaction module based on cultural elements, a product recommendation module, and a customer flow allocation module. This invention introduces cultural elements into the market business system, increasing the interaction between merchants and users in the market, enhancing the market's cultural atmosphere while promoting local cultural characteristics, increasing the interactivity and experience of the market economy, and attracting consumer interest.

The invention relates to the technical field of marketing management, in particular to a marketing quantitative index monitoring system and method, and the system comprises a data collection layer, a data processing layer, an analysis calculation layer and a visual interaction layer. The data acquisition layer acquires original marketing data in real time through a multi-modal input interface, and processes the original marketing data to obtain processed marketing data; the data processing layer performs real-time windowing aggregation on the processed marketing data to generate a real-time calculation index, performs offline statistics on the historically stored batch marketing data, and constructs a historical reference database; the analysis and calculation layer identifies business anomalies through a historical benchmark database and an unsupervised detection algorithm, generates decision suggestions based on the business anomalies, and triggers a cross-system cooperation instruction based on the decision suggestions; and the visual interaction layer renders the index weight, the business exception and the state of the cross-system cooperation instruction in real time. According to the invention, real-time intelligent monitoring of marketing quantitative indexes can be realized.