Abstract: In some embodiments, apparatuses and methods are provided herein useful to assess qualitative and quantitative features of items. In some embodiments, a system may include at least one database storing item data associated with at least one retail item of the plurality of retail items, and a trained machine learning model coupled to the at least one database, wherein the trained machine learning model, when executed by a processor-based control circuit of a computing device: obtains the item data from the at least one database, processes the item data obtained from the at least one database to generate a numerical value for two or more features of the at least one retail item; and consolidates each numerical value associated with the two or more features of the at least one retail item into an overall numerical value of the at least one retail item.