Smart stock. Lean spend. How Hornbach made inventory work harder.
Hornbach, one of Europe’s leading DIY retailers, had a familiar challenge: how do you keep shelves full and capital expenditure under control?
Their answer? Smarter forecasting. By implementing advanced AI-driven demand models, Hornbach shifted from reactive inventory management to proactive precision. The result: better stock allocation, less capital tied up in warehouses, and happier customers finding what they need, when they need it.
No more overstocking slow movers. No more scrambling to fill gaps. Just clear signals, better planning, and supply chain decisions rooted in real demand.
How Hornbach nailed stock forecasting and cut capital spend
DIY giant Hornbach wanted full shelves, fewer stockouts, and no wasted floor space. But their 8-week sales-based forecasting wasn’t cutting it — it led to overstock, sunk capital, and layout inefficiencies.
Enter Crunch.
We built an AI-powered forecasting model that categorizes products by demand patterns, smooth, erratic, lumpy and delivers sharper predictions where it matters. At the same time, we revamped Hornbach’s data stack: Git, Docker, Airflow, Jupyter, the works. Modern infra meets smart models.
The result?
- Capital freed up from bloated stock
- Fewer stockouts, better shelf availability
- Store teams replenishing smarter via connected stock-picking apps
- Forecasting accuracy up, wMAPE down
No crystal ball. Just real results, driven by real data.