Explore the process of building a demand prediction model for retail AI in this 42-minute conference talk from the Toronto Machine Learning Series. Gain insights from Steven Keith Platt, Lecturer and Research Director at the Retail Analytics Council of Northwestern University and Co-Founder of RetailPredict.ai. Learn how to effectively frame a retail business use case, identify relevant Key Performance Indicators (KPIs), and discover prediction models that offer easily implementable solutions for demand forecasting in the retail sector.
Retail AI Use Case: Building a Demand Prediction Model
Toronto Machine Learning Series (TMLS) via YouTube
Overview
Syllabus
Retail AI Use Case Building a Demand Prediction Model
Taught by
Toronto Machine Learning Series (TMLS)
