Wholesale forecasting board for fashion brands
Plan your production, manage reorder cycles, and align inventory with buyer demand.
On this page
From guesswork to data-driven forecasting
Forecasting wholesale demand from spreadsheets and intuition tends to leave brands overproducing slow-moving styles and running out of bestsellers.
A structured forecasting board changes this:
- Historical analysis — Track units sold per style, per buyer, per season
- Reorder cycle mapping — Identify when buyers typically reorder and at what volumes
- Seasonal indexing — Adjust projections based on seasonal demand patterns
- Trend weighting — Factor in AI trend signals that indicate rising or falling demand
- Production alignment — Connect demand projections to production timelines and MOQs
The sections below give you the framework.
Sections to include
Style-level forecast
Projected units per style based on historical sell-through, buyer commitments, and trend signals.
Buyer demand matrix
Heat map showing which buyers are likely to reorder which styles, based on past behavior and engagement data.
Production timeline
Gantt-style view connecting demand projections to production lead times and delivery windows.
AI trend overlay
Optional layer showing AI-detected trend signals and their projected impact on demand.
Plan from your real wholesale orders
ModaFlow's analytics dashboard shows revenue, order volume, top styles, and reorder rate from your wholesale orders.
See Analytics Dashboard