Method and apparatus for creating a business model

CN122431656APending Publication Date: 2026-07-21CLP JINXIN TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CLP JINXIN TECH CO LTD
Filing Date
2026-04-02
Publication Date
2026-07-21

AI Technical Summary

Technical Problem

In existing technologies, business users without a technical background face high barriers to entry and learning costs when building high-quality models. This is especially true in fields such as finance, where the reliability and interpretability of models are highly demanding. Traditional visual modeling platforms require specialized knowledge and are difficult to meet actual business needs.

Method used

By responding to user-triggered operations on the visual modeling page, displaying the sequence of modeling elements and guiding configuration parameters, the system automatically matches and generates a target modeling process that conforms to the business scenario, lowering the user threshold, reducing reliance on feature engineering expertise, and realizing human-machine collaborative modeling.

Benefits of technology

It lowers the barrier to entry for non-technical users, improves modeling efficiency, ensures that model quality is consistent with business needs, avoids model failures caused by node mismatch or missing processes in traditional modeling, and achieves efficient and professional model generation.

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Abstract

The present disclosure provides a business model creation method and device, the method comprising: in response to a triggering operation on a modeling control in a visual modeling page, displaying a modeling element area; in response to a configuration operation triggered on each modeling element in the modeling element area in sequence, configuring modeling parameters corresponding to each modeling element based on a target business requirement; in response to the modeling parameters of each modeling element being configured, generating a target modeling process matched with the modeling parameters based on the modeling parameters configured for each modeling element; and running the target modeling process to execute a model construction operation through multiple modeling process nodes to generate a target business model. Thus, the present disclosure reduces the threshold for non-technical users to use machine learning modeling tools, reduces the dependence on feature engineering professional knowledge, and avoids the model failure problem caused by node misconfiguration or process loss in traditional visual modeling, while ensuring model quality and significantly improving modeling efficiency.
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