Patent attributes
A computer-implemented system and method for creating forecast charts. The computer-implemented system includes a computing device, processor, and memory. The processor is configured to connect data sources to a website application. The processors are configured to retrieve, by the website application, unstructured data from the plurality of data sources. The processors are configured to format unstructured data and convert the unstructured data into structured data. The processors are configured to transform, by the website application, the structured data into one or more forecast charts by performing computations by using transformation methods. The structured data is used on dashboard templates, and independent metric templates, wherein at least one of dashboard template is selected from the plurality of dashboard templates presented over a user interface of the computing device by a user. The processors are configured to train Machine Learning (ML) models on the structured data of the dashboard templates. The processors are configured to deploy the ML models on a server. The server is connected to an application programming interface (API). The ML models utilize a recursive multi-step forecasting and adjust a parameter of the recursive multi-step forecasting to fit the structured data. The ML models are used to provide prediction data based on structured data. The processors are configured to create a dashboard based on the dashboard template selected by the user. The API receives and returns the prediction data to the web application where the forecast charts are displayed based on the prediction data.
