Case Study: a leading cosmetics company scales ML model production with Sigmoid

Leading Cosmetics Company automates ML training and expands coverage with Sigmoid

The customer, a leading cosmetics company, faced challenges with a non-scalable system and a lack of standard processes for accessing data and cloud resources, making it difficult to create a production-ready solution. Sigmoid was engaged to address these issues.

Sigmoid built a scalable, cloud-based solution using Google Composer for workflow orchestration. They integrated machine learning models to automate the client's demand forecasting, which reduced manual effort. This solution automated the ML model training pipeline, increased coverage for new countries and products, and improved system maintainability and fault tolerance.