Abstract: Systems and methods for using machine learning to dynamically assess performance of products and suppliers in the marketplace are disclosed. According to certain aspects, an electronic device may train a plurality of intermediate machine learning models and an aggregate machine learning model using various marketplace data associated with products and suppliers. The electronic device may analyze information associated with a given product or a given supplier using the trained machine learning models to predict a performance of the product or supplier, as well as determine various recommendations associated with the design, testing, inspection, and/or distribution of products.