Before
- New products stuck in admin queues for ~2 months
- 1,200 new orders per week needing manual first-time sizing
- Sales windows lost permanently to admin delays
- Growing manual review backlogs
Measured result with modelled impact
7 weeks
shorter launch cycle, from 8 weeks to 1
84.4%
validated within 1 hour of listing
The €400K–€1.5M revenue range is modelled. The average-revenue assumption is pending validation with category data.
Rohlik launches ~1,500 new SKUs per year across five country operations.
Manual master-data validation and first-order administration took ~2 months end to end.
Each week in the queue permanently shortened the product's sales window while the commercial review backlog kept growing.
Before
After Duvo
Our commercial team used to spend weeks chasing master data and fixing order templates before a product could even go live. With Duvo validating products and sizing first orders automatically, we've compressed launch cycles from two months down to a single week, capturing revenue that was previously lost to admin delays.
Commercial Director
Rohlik Group
Validates master data
Duvo runs 5 master-data checks against every new and relisted product within 1 hour of listing.
Auto-fills parameters
Auto-fills missing parameters from peer products to ensure completeness.
Sizes the first order
First-order sizing runs through the same pipeline every 15 minutes, with full context attached to each escalation.
Clears the queue
Duvo removes manual review from 1,200 orders per week and runs across all five markets.
Evidence status
Measured result with modelled impact
~1,500 new SKUs/year × €3–5K average annual revenue per new SKU × ~7 weeks earlier on shelf, equal to 13% of the annual sales window. The average-revenue assumption is pending validation with category data.
Systems involved
Master data, Ordering system
Control points