How Made In transformed planning from spreadsheets to AI-powered forecasting
As Made In scaled from startup to $100M+ in revenue, their manual planning processes couldn't keep up. With 300+ SKUs across multiple channels, they needed a better way.
“Atomic is the one SaaS tool that is open all day, every day on my laptop. I can't do my job well without it.”
Spreadsheets buckled under scale
Manual planning processes
Spreadsheet-based forecasting couldn't handle the complexity of 300+ SKUs
Multi-channel complexity
Managing inventory across D2C, retail, and marketplace channels
Seasonal demand patterns
Complex seasonality patterns were difficult to predict accurately
Stockouts and excess inventory
Poor forecasting led to both stockouts and overstock situations
AI-powered planning, deployed in weeks
ML-powered demand forecasting
Advanced algorithms analyze historical data and market trends for accurate predictions
Automated supply planning
Intelligent PO recommendations based on demand forecasts and inventory levels
Scenario modeling
Test different scenarios to optimize inventory levels and minimize risk
Multi-channel integration
Unified view across D2C, retail, and marketplace channels
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