Made In Cookware Success Story
How Made In transformed their supply chain planning from manual spreadsheets to AI-powered forecasting, achieving significant improvements in inventory management and operational efficiency.
Key Results Achieved
Reduced stockouts across all product lines while maintaining optimal inventory levels
ML-powered demand forecasting significantly improved prediction accuracy
Automated planning processes freed up team time for strategic initiatives
"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."
The Challenge
As Made In scaled from startup to $100M+ in revenue, their manual planning processes couldn't keep up. With 300+ SKUs across multiple channels and seasonal demand patterns, spreadsheet-based forecasting led to frequent stockouts and excess inventory.
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
The Solution
Implemented Atomic's complete planning suite including ML-powered demand forecasting, automated supply planning, and scenario modeling to handle complex seasonality and a diverse supplier base.
ML-Powered Demand Forecasting
Advanced algorithms analyze historical data and market trends for accurate predictions
Automated Supply Planning
Intelligent purchase order 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
Ready to Transform Your Supply Chain?
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