Case Study: Markwins Beauty Brands achieves faster, more accurate demand forecasting with Avercast

Markwins Beauty Brands - Customer Case Study

Markwins Beauty Brands, a global cosmetics leader with millions of customers, multiple brands and thousands of SKUs, faced fragmented forecasting managed in Excel and needed a solution that could handle long supplier lead times while minimizing implementation downtime. They selected Avercast’s cloud-based forecasting software to replace spreadsheet processes and provide clearer visibility into historic and future demand.

Avercast implemented its forecasting platform with a rapid cloud rollout—taking less than a month—and minimal downtime. The Avercast solution consolidated forecasting across brands, incorporated long lead times (often 12 weeks and sometimes six to seven months), improved visibility and usability so teams spend more time on analysis instead of data aggregation, and provided the responsive customer service Markwins valued.

Markwins Beauty Brands

Martin Toh

Executive Vice President of Operations