7 results about "Business pattern" patented technology

The system according to this embodiment aims to streamline the preparation for opening a business and propose an optimal flow from opening to the start of operations. [Solution] The system according to the embodiment comprises a reception unit, a proposal unit, and an instruction unit. The reception unit receives information from the user regarding the type of business, business model, planned opening area, and preparation funds. The proposal unit analyzes the information received by the reception unit and proposes the optimal flow from opening to commencement of operations. The instruction unit provides instructions for specific actions based on the flow proposed by the proposal unit.

This system collects large amounts of business data, preprocesses it, and then performs feature extraction to analyze employees' work styles and know-how. [Solution] A system comprising: data collection means for collecting a large amount of business data; data preprocessing means for preprocessing the business data; feature extraction means for extracting features from the preprocessed data; pattern analysis means for analyzing business patterns based on the features; model training means for training an AI model based on the analysis results; robot generation means for generating a virtual copy robot using the AI ​​model; accuracy evaluation means for evaluating the accuracy of the answers generated by the copy robot; result presentation means for presenting the evaluation results; and data deficiency identification means for indicating missing data based on the presentation results.

The invention belongs to the technical field of data processing, and relates to a visual event flow arrangement method and system oriented to a low-code platform. The method comprises the following steps: extracting data from a historical business log to construct an event flow graph, and extracting environment parameters of a current business scene to construct scene feature vectors; acquiring a frequent business mode by using a subgraph mining algorithm, and calculating a integrating index of a current scene and a historical mode based on an exponential attenuation function; calculating a dynamic weighted transfer score between the nodes by using a scene urgency degree adjustment factor in combination with the historical frequency and the integrating degree index; and a complexity penalty coefficient and a maturity reward mechanism are introduced, and final recommendation scores of the candidate nodes are calculated and output. According to the invention, through the graph mining and the adaptive weight algorithm, event stream intelligent recommendation considering business compliance and system stability is realized, and the arrangement efficiency is improved.

We provide technology that can help create multiple different business model proposals easily and without incurring excessive time and cost. The server, acting as a business model proposal creation support device, accepts monetization target feature data, which is natural language data describing the characteristics of the monetization target—the products and services to be monetized—input by the user. Within the server, there is a prerequisite data generation unit 223 that deepens the prerequisites for the existence of the monetization target features in multiple stages, and a rationale data generation unit 224 that estimates the market for the monetization target and deepens the rationale for the existence of the market in multiple stages. Combining the prerequisites and rationale estimated by both units, the business model proposal data generation unit 228 generates multiple or single business model proposals based on a specified number.

Provide a system. 【Solution means】 Data collection means for sorting and managing business information, Data analysis means for analyzing the business information using a generative model to identify business patterns and success factors, Customer discovery means for identifying potential customers and generating sales strategies based on these customers, Schedule management means for automatically setting appointments and notifying sales staff of relevant information, Interactive agent means for responding in real time to inquiries from customers, Product recommendation means for making product recommendations based on the user's past behavior data, User interface means for receiving product information proposed by users on the sales platform, A system including the above.

The invention provides a system and a method for automatically generating a business mode report by using artificial intelligence. According to one embodiment, the method may comprise the steps of: receiving information on a business mode from a user terminal; based on the information of the business model, a feasibility index is calculated through a feasibility evaluation model by using a first neural network, the feasibility index comprises a plurality of individual indexes, and the individual indexes comprise a global ability index and a global business attraction index; distributing a first predetermined weight for the global capability index according to the industry, and distributing a second predetermined weight for the global commercial attraction index according to the country; adjusting the first weight and the second weight based on the relation information among the individual indexes; generating a report of the business model through a report generation model by using a second neural network based on the information of the business model and the individual indexes; and transmitting the business mode report to a user terminal.

The invention provides a unified construction and extension method of a multi-layer capability system oriented to advanced planning and scheduling (APS). The capability system is composed of a data layer, a target layer, a collaboration layer, a response layer, an intelligent layer, a model / operator layer, an algorithm layer, a template layer and an acceleration layer; and an expansion management device is matched to support plug-in expansion. Modularization, platformization, expandability and acceleratability of the APS are achieved through a unified data model, operator target expression, collaborative modeling and multi-level response, intelligent prediction and risk-driven intervention, multiplexing of a model / operator layer and irrelevant design of solution and acceleration layers. The system serves as a top blueprint of a product and also serves as a general outline of sub-patents and development specifications, and a patent matrix and an ecological business model are conveniently formed.