Methods and Systems for displaying product recommendations at a virtual storefront by receiving product recommendations from a plurality of heterogeneous sources. The source servers send the product recommendations from their end that are then normalized and refined by a recommendation engine based on a plurality of factors ensuring that the products are presentable and sellable on the storefront. The recommendation collation is accomplished using a pipeline of stateless processors, thereby providing a highly scalable platform perfectly suited for cloud-based computational platforms.