Business Challenges
  • Lack of Data-driven Decision-making:
    Currently, customers often lack precise data support when making business decisions, relying too much on historical experience and basic forecasting methods, which limits their ability to quickly respond to market dynamics and gain in-depth insights.
  • Limitations of Existing Tools:
    Existing decision-support tools on the market are mostly based on data and models, but they have limitations in improving the accuracy and efficiency of customer decision-making.
  • The need for improved decision-making efficiency and accuracy:
    Customers need to improve the efficiency and accuracy of the decision-making process through technical means, which poses higher requirements for innovative solutions.
Scenario-based AI Model
The data and model dual engine, aimed at intelligent service scenarios, quickly and flexibly utilizes AI technology to support business decisions and help enterprises break through the intelligent transformation.
Data & Model Dual Engine:
Combine data and models to provide solutions for intelligent services.
Application of AI Technology:
Support the rapid and flexible use of AI technology to adapt to changes in business needs.
Full-process Service Support:
Provide full-process services from model development to deployment and tracking to ensure the implementation of technology.

Values
Assistance in Intelligent Transformation: Support enterprises in making quick decisions and responding to market changes during the intelligent transformation process.
Accurate Forecasting and Risk Control: Improve the accuracy of business forecasting and risk management capabilities through forecasting and risk control models.
Revenue Optimization: Use revenue models for customer profiling, dynamic pricing, inventory optimization, etc., to enhance revenue and market competitiveness.
Customized Applications: Provide customized model applications according to different business needs, such as demand forecasting, sales forecasting, customer flow forecasting, etc.
Use Cases