How Unilin uses predictive analytics to master its assortment
How do you refresh a winning portfolio without hurting sales? See how Unilin uses data-driven insights to confidently update their product line, staying ahead of trends while keeping performance strong.
Smarter product updates. Faster decisions.
Refreshing a best-selling product line like Unilin Evola isn’t just about adding new designs, it’s about knowing what to keep, kill, or launch without overwhelming customers or hurting sales.
Crunch built a data-driven decision system that helped Unilin make smarter assortment choices, faster.
We pulled in ERP, sales, and design data. Scraped visuals. Analyzed uniqueness using color metrics. Modeled what would sell and what wouldn’t.
Key results:
- Weeks of manual analysis reduced to days
- Sharper, faster product decisions backed by data
- A cleaner, trend-aligned collection with higher commercial impact
Powered by machine learning, visual analytics, and a tailored Power BI dashboard, giving product teams the clarity and confidence to shape the next evolution of Evola.