Skip to main content

From accuracy to business case: Building a successful demand forecasting PoC (Level 200)

Forecasting future demand accurately with AI/ML has numerous benefits across different functions including increasing sales, improving capacity utilization and inventory turn-over, and enhancing customer experience. But many face challenges in justifying the value and implementing demand forecasting systems into production. This session shows you the step by step workflow to build a rapid prototyping for ML-based forecasting system using Amazon Forecast. We showcase the different ways for measuring the real business value of demand forecasting models while allowing flexibility in experimentation. Download slides »
Speaker: Julia Ang, Associate Solutions Architect, AWS
Duration: 30mins