Abstract: Systems and methods are disclosed for generating formulas for product formulation. The method includes receiving a request for a formula to design a product from at least one device associated with a user. Relevant data associated with the product is received from a plurality of data sources. A formula for designing the product is generated by applying one or more features of a trained machine-learning model. 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 the performance of the machine-learning model using validation techniques. The formula is presented in a user interface of at least one device associated with the user.