Traditional Time Series in Modern Times – A Retail Forecasters Guide

This talk explores the evolution of time-series forecasting in retail, highlighting how traditional statistical approaches can be integrated with modern neural network techniques to create models that are both precise and transparent. It discusses the challenges of using complex, black-box models in environments where understanding the influence of seasonality, holiday effects, and pricing dynamics is essential for collaborative decision-making.