Inventory Demand Forecasting
We helped a fashion retailer reduce inventory waste by 30% through better demand forecasting, stopping the cycle of overstocking and markdowns.
A mid-sized fashion e-commerce brand scaling in Europe.
The Challenge
The client relied on spreadsheets and gut feeling to place orders. This led to a "feast or famine" cycle—warehouses full of unsold items, while popular sizes were constantly out of stock.
Our Approach
We built a custom forecasting engine that synthesizes sales history, seasonal trends, and supplier lead times. It recommends exact reorder quantities to keep stock levels optimal.
- Automated demand forecasting model
- Reorder point optimization based on lead times
- Visual dashboard for inventory health monitoring
- Integration with Shopify and warehouse data
The Results
Inventory turnover improved dramatically. The client now holds less stock but sells more, freeing up capital that used to be tied up in dead inventory. Markdowns are strategic, not desperate.
"We used to guess what to buy. Now we have data. It’s stopped the cash flow bleeding from dead stock and lets us invest in growth."
— Operations Director, Fashion Brand
Continuous Learning
The system now helps plan for seasonal peaks, ensuring the right inventory is in place well before the demand hits.