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1
Introduction to Data-Driven Retail
2
Speaker Introduction and Background
3
Overview of Forecasting in Retail
4
Understanding the Retail Value Chain
5
The Role of Forecasting in Retail
6
Challenges in Retail Forecasting
7
Forecasting Horizons and Strategic Planning
8
Challenges in Retail Forecasting
9
Impact of COVID-19 on Retail
10
Forecasting Models Overview
11
Statistical Forecasting Techniques
12
Machine Learning in Retail Forecasting
13
Deep Learning Models for Forecasting
14
Implementing Time Series Models
15
Case Studies in Retail Forecasting
16
Future Trends in Retail Forecasting
17
Conclusion and Contact Information
Description:
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

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