Data-driven methods and tools for generating formula in product formulation

A system comprising:

• one or more processors of a computing system;
• and
• at least one non-transitory computer readable medium storing instructions which, when executed by the one or more processors, cause the one or more processors to perform operations comprising:
• receiving a request for a formula to design a product from at least one device associated with a user;
• receiving relevant data associated with the product from a plurality of data sources;
• and
• generating the formula for designing the product by applying one or more features of a trained machine-learning model,
• wherein the trained machine-learning model has been trained by:
• inputting the relevant data associated with the product into the machine-learning model;
• employing a supervised learning technique to optimize the machine-learning model through iterative learning algorithms;
• and
• evaluating performance of the machine-learning model using validation techniques;
• and
• generating a presentation of the formula in a user interface of the at least one device associated with the user.

A non-transitory computer readable medium, the non-transitory computer readable medium storing instructions which, when executed by one or more processors of a computing system, cause the one or more processors to perform operations comprising:

• receiving a request for a formula to design a product from at least one device associated with a user;
• receiving relevant data associated with the product from a plurality of data sources;
• and
• generating the formula for designing the product by applying one or more features of a trained machine-learning model,
• wherein the trained machine-learning model has been trained by:
• inputting the relevant data associated with the product into the machine-learning model;
• employing a supervised learning technique to optimize the machine-learning model through iterative learning algorithms;
• and
• evaluating performance of the machine-learning model using validation techniques
• generating a presentation of the formula in a user interface of the at least one device associated with the user.