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Customer stories
Rohlik GroupNPD and price loading

Rohlik cut new-product launch cycles from eight weeks to one.

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.

New products were sitting in admin queues for ~2 months.

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

  • 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

After Duvo

  • 5 master-data checks run within 1 hour of listing
  • Missing parameters auto-filled from peer products
  • First-order sizing processed automatically every 15 minutes
  • Manual review removed from 1,200 orders/week

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

The workflow from signal to outcome.

01

Validates master data

Duvo runs 5 master-data checks against every new and relisted product within 1 hour of listing.

02

Auto-fills parameters

Auto-fills missing parameters from peer products to ensure completeness.

03

Sizes the first order

First-order sizing runs through the same pipeline every 15 minutes, with full context attached to each escalation.

04

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

  • Five master-data checks run against every new or relisted product within one hour of listing.
  • First-order sizing carries the full context into every escalation.