“We have 11 suppliers, all in China, with 70 to 90 day lead times. When you're growing every month, you can't afford to get the numbers wrong.”

Jelle built his own forecasting spreadsheet, with parameters for average daily sales, lead times and stock levels across all 11 suppliers. The logic was sound. Feeding it wasn't.

Every week he'd manually recalculate order quantities, cross-reference 11 supplier pipelines, and estimate what was in transit from China. Roughly ten minutes per SKU per week. Across 25 active SKUs, that's over four hours a week (more than 200 hours a year), just keeping the model current.

And stock doesn't sit in one place. It moves from Chinese manufacturers to home storage in the Netherlands, then out in 28-day batches to Bol.com's warehouse. Every layer is another thing to track.

“When a forecast is wrong at PurelyGoods, the correction doesn't arrive in a week. It arrives 90 days later.”

The supply chain kept getting more complex, and the spreadsheet kept getting harder to trust. With 70–90 day lead times, a missed reorder signal doesn't cost you a week of stock. It costs you a full quarter of availability.

Jelle needed the logic he'd built, without the weekly tax of feeding it.

PurelyGoods went live on Rewize in September 2025. We kept Jelle's forecasting logic intact and removed the manual work around it: automated demand forecasts, reorder suggestions, and a dashboard that reflects the actual state of the business instead of a snapshot from last Sunday.

• Automated demand forecasts replacing weekly manual recalculation
• Reorder suggestions across all 11 suppliers in one view
• Multi-channel planning across Bol.com, ANWB and Shopify
• Stock visibility across home storage and 28-day Bol.com batches
• Preserved Jelle's forecasting model — just stopped the hand-feeding