Case Study: Sabina, a Thai lingerie company, achieves smarter forecasting and streamlined production and sales insights with Microsoft Power BI

Sabina - Customer Case Study

Sabina, a Thai lingerie manufacturer and retailer with markets in Thailand, the US, UK and Europe, struggled with fragmented production and sales data, poor forecasting, and the need for a scalable, secure backbone. The company accelerated its digital transformation during COVID‑19 using Microsoft technologies—specifically Microsoft Power BI alongside Microsoft 365 and Azure services (Azure Data Lake, Azure SQL and Azure Machine Learning)—to better organize data and support remote collaboration.

Using Microsoft Power BI and Azure (with implementation partner Inteltion), Sabina moved data into an Azure Data Lake, automated pipelines with Azure Data Factory, and applied Azure SQL and Azure Machine Learning to produce visual analytics and forecasts in Power BI. The Microsoft Power BI–enabled solution delivered more organized data, shorter Teams meetings, faster and more accurate three‑ to five‑year production and sales forecasts, and improved inventory and store allocation, giving Sabina a scalable, data‑driven foundation for growth.

Sabina

Duangdao Mahanavanont

Chief Executive Officer