Growth, customization, resilience and many more factors require tech-enabled supply chain companies to customize their internal software products more than ever. This translates to having many different microservices for data and AI in parallel to legacy systems, causing friction both for end users as well as data scientists that needs to be overcome. In this session, we focus on sharing some best practices regarding the use of internal 'Micro SaaS' for Data and AI products to streamline operations.