8 results about "Strategy making" patented technology

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 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 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.