16 results about "Strategy making" patented technology

The invention, which relates to the technical field of the e-commerce platform, discloses a cluster analysis-based extended insurance policy optimization system for an e-commerce platform, comprising a policy optimization module for optimizing the formulation of a pricing policy under an extended insurance policy of the e-commerce platform; the strategy optimization module comprises a strategy making unit, a function construction unit and a price making unit, the strategy making unit is connected with the function construction unit through a network, and the function construction unit is connected with the price making unit through the network. According to the invention, the strategy optimization module is designed, so that the optimal platform extended insurance strategy selection function of the e-commerce platform in the supply chain environment of manufacturer competition is realized, the operation efficiency and market response capability of the e-commerce platform are improved, and the scientificity and accuracy of the e-commerce platform in the extended insurance strategy making process are improved.

The invention discloses a multi-agent game method and system based on a large language model, and belongs to the field of artificial intelligence. According to the invention, a highly simulated game environment is formed by introducing multiple types of agents such as an environment agent, a director agent, a participant agent and a scheme recording agent. Each agent performs independent fine adjustment and optimization for a specific task, so that the agent has the capabilities of information analysis, strategy formulation and execution, real-time feedback and self-lifting, and the modularization design ensures the collaboration and flexibility of the system. The big language model provides comprehensive data processing and analysis support for the intelligent agent, and ensures that a decision scheme is kept scientific and reasonable in the formulation and optimization process.

The invention relates to a marketing platform system design and construction method for strategy arrangement, which realizes automatic arrangement and execution of complex marketing strategies through a highly flexible process canvas and a configuration table. The system comprises a strategy arrangement module, a configuration table module, a marketing component module, a real-time data acquisition and feedback module and a user data analysis module. The strategy arrangement module is designed based on a process canvas, supports multi-step strategy process configuration, and comprises target audience selection, content configuration, channel selection and conversion target setting. The system integrates various touch channels, supports real-time or delayed execution strategies, and provides instant user behavior analysis and strategy optimization through a real-time data acquisition and feedback mechanism. The system is based on a micro-service architecture, supports cross-channel integration, data-driven decision making and A / B testing, improves the flexibility of strategy making and the high efficiency of execution, and provides technical support for precision and intelligentization of enterprise marketing.

The invention provides a budget management system, which comprises a strategy making module, a budget making module, a cost management and control module, a cost accounting module and an analysis and prediction module, and is characterized in that the strategy making module is used for making a strategy target; the budget making module is used for making a budget plan based on the strategic target; the cost management and control module is used for regulating and controlling the budget plan according to the current cost data generated by the strategic target and the budget plan; the expense accounting module is used for collecting actual expense receipts generated according to a strategic target according to a classification rule to generate actual expense collection data; the analysis and prediction module is used for analyzing the actual cost collection data to generate analysis data; wherein the budget making module is further used for updating the budget plan according to the analysis data. The budget management and the strategic target are combined to form a complete closed loop, so that the self-updating of the budget management system is realized, and the budget plan of the strategic target is more accurate.

The invention relates to the technical field of management systems, and particularly discloses a marketing scene dynamic simulation and strategy optimization system, which comprises a multi-source data fusion module, a dynamic scene simulation engine, a multi-agent strategy game module and a strategy iterative optimization and deployment module, and a closed loop from market environment perception to optimal marketing strategy generation and execution is realized. According to the invention, through a microcosmic consumer heterogeneity model, in combination with deep survival analysis and an attention mechanism, decision laws of individual consumers and differentiated responses to marketing stimulation can be accurately captured, the limitation of macroscopic analysis of a traditional system is broken through, full-dimension conversion prediction from individuals to groups is realized, and the prediction efficiency is improved. Refined data support is provided for strategy making, and the marketing conversion efficiency is effectively improved.

The invention provides an e-commerce operation method based on an intelligent agent, and the method comprises the steps: collecting current e-commerce operation data, and transmitting the e-commerce operation data to the intelligent agent according to the type of the intelligent agent; first operation information generated by the intelligent agents based on the e-commerce operation data and the current operation strategy is obtained, the current operation strategy is optimized based on the first operation information, the e-commerce operation data, a preset optimization algorithm, a constraint condition and a reward function, a target operation strategy is obtained, and the current operation strategies corresponding to different intelligent agents are different; and obtaining target operation information generated by the intelligent agent based on the target operation strategy and the e-commerce operation data, and performing e-commerce operation according to the target operation information. The e-commerce operation strategy can be dynamically adjusted according to the real-time e-commerce operation data, the problem that the operation strategy needs to be made manually is effectively solved, the timeliness and accuracy of strategy making are improved, the strategy making efficiency is improved, the current market environment can be accurately fitted, and the e-commerce operation effect is improved.

An object of the system according to the embodiment is to formulate a marketing strategy based on customer data and to verify and optimize the effect thereof.SOLUTION: A system includes a data collection part, an analysis part, a strategy formulation part, a test execution part, and an optimization part. The data collection unit collects customer data. The analysis unit analyzes the customer data collected by the data collection unit. The strategy formulation unit formulates a marketing strategy based on the result analyzed by the analysis unit. The test execution unit executes the A / B test to verify the effect of the marketing strategy formulated by the strategy formulation unit. The optimization unit optimizes the marketing strategy based on the result obtained by the test execution unit.SELECTED DRAWING: Figure 1

The invention provides an agent control method and device, equipment and a storage medium, and the method comprises the steps: obtaining to-be-played game role information in a simulation game, the game role information at least comprises the number of game roles and the battle power of the game roles; generating the number of agents and the battle power of the agents according to the number of the game roles and the battle power of the game roles; generating a plurality of agents according to the number of the agents and the battle power of the agents, and adding the generated agents into the simulation game to start the game of the simulation game; generating a target battle damage rate according to the number of the agents, the battle power of the agents, the number of the game roles and the battle power of the game roles; obtaining the current war damage rate corresponding to the game role in the game match of the simulation game; and if the current battle damage rate is greater than the target battle damage rate, controlling the intelligent agent to drop in the game of the simulation game. According to the method 1, a set of universal, dynamic and flexible AI accompanying strategy making method beneficial to maintenance is provided, and the AI exposure risk is reduced while the playing experience of human players is improved;

The system according to this embodiment aims to efficiently elicit excellent ideas during product planning discussions and meetings. [Solution] The system according to the embodiment comprises a collection unit, an analysis unit, a proposal unit, a strategy planning unit, and a milestone creation unit. The collection unit collects information from discussions and meetings regarding product planning. The analysis unit analyzes the information collected by the collection unit. The proposal unit makes proposals based on the analysis results obtained by the analysis unit. The strategy planning unit formulates a strategy based on the content proposed by the proposal unit. The milestone creation unit creates milestones based on the strategy formulated by the strategy planning unit.

The invention discloses a data processing method, a strategy making method and related equipment, relates to the technical field of communication, and can prevent information leakage of to-be-divided data. In the method, a storage controller receives a target strategy, the target strategy comprises a first judgment rule used for classifying data or a second judgment rule used for grading the data, the first judgment rule is a mapping relation between composition characteristics of the data and / or structural characteristics of the data and categories of the data, and the second judgment rule is a mapping relation between composition characteristics of the data and / or structural characteristics of the data and categories of the data. The second judgment rule is a mapping relationship between composition characteristics of the data and / or structural characteristics of the data and levels of the data; the storage controller divides first data according to the target strategy to obtain a first label of the first data, and the first data is stored in a storage device; and the storage controller binds and stores the first tag and the first data in the storage device or an external storage device.

The present invention provides a method and device for formulating equipment operation strategies in a building, by abstractly modeling the properties, states and associations of various equipment in the room; by abstracting the equipment object model, device type-oriented strategy formulation is achieved, avoiding the problem of policy adaptation for specific equipment, and achieving the universality and reusability of the strategy; using graphical programming tools for data collection, processing and logical control, flexible, intelligent and efficient equipment management and control are achieved; the present invention can improve the adaptability, data utilization efficiency, scalability and user-friendliness of the system, thereby optimizing user experience and energy efficiency management.

The present application relates to a multi-UAV collaborative strategy learning method and device based on temporal hierarchical decision-making. This method overcomes the problems of high complexity and large decision space of multi-UAV sequential decision-making by performing temporal abstraction on the original sequential decision sequence, thereby improving the optimization efficiency of multi-UAV collaborative strategy. Temporal abstraction is performed on the original sequential decision sequence to construct a drone macro-action space capable of reaching a positive reward state. A temporal hierarchical decision-making method including macro-strategies and micro-strategies is introduced. The macro-strategy makes top-level decisions based on macro-actions and updates them using the intrinsic rewards of equivalent state novelty values combined with extrinsic rewards. The micro-strategy makes bottom-level decisions based on the original actions and is generated through rule-based definition or pre-training. In order to overcome the weakening of collaborative strategy performance caused by hierarchical decision-making, a strategy parallel optimization mechanism based on experience reuse is designed. This method improves the efficiency of strategy optimization and enhances the performance of UAV collaborative strategies.

The embodiment of the invention relates to a method and system for formulating a meter test strategy and a test method. The strategy formulating method comprises the following steps: firstly, establishing a first objective function for minimizing the total instruction execution duration, a second objective function for maximizing the total instruction execution accuracy and a third objective function for maximizing the instruction coverage rate; and further obtaining a Pareto optimal test strategy solution set by adopting a multi-objective genetic algorithm based on the first objective function, the second objective function, the third objective function, strategy making constraint conditions, a test instruction set and a mode for testing a standard meter. And further making a meter test strategy based on the Pareto optimal test strategy solution set. According to the meter testing strategy formulated in the mode, three factors including the total instruction execution time length, the total instruction execution accuracy rate and the instruction coverage rate are comprehensively considered, and therefore the reasonability of the testing strategy is guaranteed on the basis that the meter testing efficiency is improved.

The invention relates to the technical field of supply chain finance, and discloses a supply chain finance real-time risk regulation and control system based on a dynamic game model, which comprises a system main body, the system main body comprises a data acquisition module, a data processing and analysis module, a dynamic game model construction module, a risk assessment module, a risk regulation and control strategy generation module and an execution feedback module. According to the supply chain finance real-time risk regulation and control system based on the dynamic game model, decision-making behaviors of multiple subjects in a dynamic environment and mutual influences of the subjects can be simulated in real time, and theoretical support which is more suitable for an actual business scene is provided for risk assessment and regulation and control strategy formulation; and meanwhile, the dynamic game model building module is combined to simulate multi-party subject decision behaviors, so that the risk assessment module can assess the risk levels of each enterprise and the whole supply chain more accurately.

A virtual resource allocation method, device, equipment and storage medium belong to the field of computer and internet technology. The method comprises: displaying a game interface of a game session participated by N objects; updating the number of virtual resources in a resource pool when a first object uses virtual resources to exchange virtual props, the virtual resources in the resource pool being allocated to at least one object after the game session ends; displaying the use effect of the virtual props; and displaying the number of virtual resources each of M objects obtains. The above method enables the objects to use virtual resources to exchange virtual props in the game session, so that the virtual resources can participate in the strategy making of the game session. Moreover, after the game session ends, the virtual resources can be allocated to at least one object participating in the session. The above method of applying virtual resources to strategy making and allocating virtual resources to at least one object participating in the session after the session ends improves the diversity of virtual resource application.

The information display method, device and program product of the policy-making tool provided by the embodiments of the present disclosure include: in response to an access instruction for accessing the product policy-making function, obtaining the information of the policy-making tool included in the product policy-making function according to the access instruction; generating a floating bar including a plurality of sub-regions, and displaying regional theme information in each sub-region of the floating bar according to the attribute information of each sub-region; and displaying the information of the corresponding policy-making tool in the sub-region of the floating bar according to the information of the policy-making tool and the attribute information of each sub-region. The solution provided by the embodiments of the present disclosure can display a floating bar on the upper layer of the page of the product policy-making function, and the floating bar is used to display the relevant information of the policy-making tool included in the current page of the product policy-making function. By browsing this information, users can understand the information of the policy-making tool, so as to improve the utilization rate of the policy-making tool and the efficiency of users in formulating product policies.