Demand Forecasting
& Purchase Planning
Demand Forecasting
Predict Demand with AI
Use ML-driven models to predict demand across D2C and B2B channels. Forecast core and seasonal items, or plan new launches using reference products. Define and manage independent planning segments to capture localized sales trends and seasonality.
ML-Driven Models
Automated size curves
Seasonal Logic
Multi-Segment Planning
Sales plan
Forecast model
Not selected
Madden
Use AI-model to predict demand from related products
Reference product
Use another product’s sales pattern
Total units
Spread a unit target over time
Size split
Not selected
Replay
We have €50k extra buying budget for June. Where would it make the biggest difference?
ARTIFICIAL INTELLIGENCE
Plan in Plain Language
Ask the Agent to adjust your plans in plain language, like increasing safety stock 20% across every NOOS style ahead of peak season. Review the exact impact before it’s applied, then save the request as a skill so the same adjustment runs itself next year.
Conversational Edits
Approval Before Apply
Saved Skills
MCP Connector
Purchase Order Optimization
Streamline Ordering
Optimize purchase orders in bulk across entire collections. Automatically adjust quantities to meet supplier minimum order quantities (MOQs), maximize transport efficiency based on container volume (CBM) and weight. Standardize unit counts to align with supplier-specific packaging sizes and production requirements.
Supplier MOQ Solving
Pack Size Solving
CBM & Weight Planning
Lead Time Calculation
Optimize purchase
Quantity rounding
Full packs
Minimum quantities
Respect minimums
Product
Need
Draft
Court Low
MOQ 60 · Pack 12
118
120
+2
Everyday Runner
MOQ 48 · Pack 6
83
84
+1
Retro Sneaker
MOQ 50
41
50
+9
Order by 2 Oct → Arrival 30 Oct
Order date calculated from a 28-day lead time
Proposed purchase
254 units
242 needed · +12 to meet packs and minimums
Questions? Ask our Agent.
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Customer Stories
