Abstract: Systems and methods discussed herein relate to a personalized recommendation engine. The personalized recommendation engine makes recommendations for packages of components sold and/or supported by a telecommunications service provider such as electronic devices, accessories, subscription plans, services, and applications. These package recommendations are based upon user input, telecommunications service provider input, and customer feedback from customers who made previous purchases using the personalized recommendation engine. Each component from a pool of components is ranked based upon this input, package components are selected and bundled, and the packages are recommended to the user based upon the overall package score which is determined by user input, telecommunications service provider input, and in some cases customer feedback.