Global Retail Manufacturer

Developing a forecasting platform for model benchmarking, tuning and selection resulting in more accurate, and efficient retail sales forecasting as well as empowerment to define new use cases. 

Challenge

• Client needs more accurate and efficient furniture sales forecasts for supply chain planning
• +10 Mio different store products make it difficult to find optimal forecasting method
• Client lacks expertise in forecasting

Solution

• Built a forecasting platform around Darts to efficiently benchmark, tune, and select forecasting models on any use case.
• Trained models on +10k different products to globally learn information
• Coached client on forecasting fundamentals and best practices

Business Impact

• Best model outperformed existing solution in accuracy and efficiency
• Client can now more optimally plan supply chain and define new forecasting use cases through the platform.
• Client uses platform to define new forecasting use cases