Consumer packaged goods (CPG) are items used daily by average consumers that require routine replacement or replenishment, such as food, beverages, clothes, tobacco, makeup, and household products.

Predicting demand for this is a very crucial as each and every aspect of business from a manufacturers perspective depends on the accuracy of such predictions. This session will deep dive into AI-First Transformation in Consumer Packaged Goods Demand Planning and Forecasting.
Key Takeaways:

• Demand Planning and Forecasting Challenges in CPG
• Achieving superior forecasting accuracy using Deep Learning
• Deep dive into forecasting model development using Deep Learning
• Architecture (Hyper-parameter) tuning of complex deep learning architectures
• Deep Learning models at scale
• Qualifying Risk in Demand Planning – Enabling process transformation