The rise of online shopping has posed significant challenges for fashion retailers. The lack of ability to try on and visualize outfits has made shopping less interactive, contributing to low conversion rates and high return rates compared to brick-and-mortar shopping. Virtual dressing rooms can recreate the lost experience of trying on clothes in person. There are other companies working on a virtual dressing room. However, the reason why this is not taking off is scalability. Fashion ecommerce platforms have thousands, if not millions of SKUs. Current approaches generally require custom Photoshop work or expensive 3D models which are difficult to scale. In contrast, our solution leverages our machine learning research to automate the entire process, resulting in the first scalable virtual dressing room that can be easily integrated with any large e-commerce platform with millions of SKUs.