Abstract: Techniques for intelligently predicting which items a user will add to an electronic shopping cart are disclosed. An item is added to an electronic shopping cart of a user. Natural language processing (NLP) determines a general product category and supporting product details of the item. The general product category and the supporting product details are used as parameters in a query executed against a database, which links the item to other items based on shared characteristics between the item and those other items. A result of the query identifies those linked items. Based on an identified characteristic associated with the user, the items included in the query result are filtered to generate a list of proposed items for potential inclusion in the electronic shopping cart. This list is displayed to the user.