Explore a comprehensive conference talk on enhancing retail operations resilience through forecasting models. Delve into the intricacies of data-driven retail, understanding the retail value chain, and the crucial role of forecasting in strategic planning. Examine various forecasting horizons, challenges in retail forecasting, and the impact of COVID-19 on the industry. Gain insights into statistical techniques, machine learning applications, and deep learning models for retail forecasting. Learn about implementing time series models and review real-world case studies. Discover future trends in retail forecasting and how they can revolutionize operational resilience in the retail sector.
Forecasting Models: Enhancing Retail Operations Resilience
Overview
Syllabus
Introduction to Data-Driven Retail
Speaker Introduction and Background
Overview of Forecasting in Retail
Understanding the Retail Value Chain
The Role of Forecasting in Retail
Challenges in Retail Forecasting
Forecasting Horizons and Strategic Planning
Challenges in Retail Forecasting
Impact of COVID-19 on Retail
Forecasting Models Overview
Statistical Forecasting Techniques
Machine Learning in Retail Forecasting
Deep Learning Models for Forecasting
Implementing Time Series Models
Case Studies in Retail Forecasting
Future Trends in Retail Forecasting
Conclusion and Contact Information
Taught by
Conf42
