Case Study: Leading Apparel and Footwear Company achieves material forecasting on 650x more data with Kyvos Insights

Material Forecasting on 650x More Data at a Global Sports Brand

Leading Apparel and Footwear Company faced inaccurate material forecasting because its BI stack (Amazon S3 → Snowflake → Azure Analysis Services → Excel) could only analyze ~18 weeks of data, causing Excel crashes, missed SLAs during peak seasons, and limited drill-downs by color, size, style and region. They engaged Kyvos Insights to migrate off Azure Analysis Services and remove data volume constraints by working directly on S3 with an OLAP/Smart OLAP solution.

Kyvos Insights built a cloud-native OLAP cube on AWS that aggregated two years of history in about an hour and let Excel connect directly to the Kyvos layer, reducing ETL hops and points of failure. The result: interactive analysis at scale (95% of queries within 5 seconds), year‑over‑year insights previously impossible, granular forecasting to color‑size‑style level, and faster, more accurate material-buying decisions—eliminating analytics silos and lowering BI costs.