Using Advanced Analytics to Model, Predict, and Adapt to Changing Consumer Demand Patterns Affected by COVID-19

To thrive during and after the COVID-19 pandemic, retailers and consumer goods suppliers need better ways of understanding sudden shifts in consumer behavior and forecasting how they will affect demand across their regions, channels, categories, brands and products. Armed with these insights, companies can adjust commercial strategies immediately to improve business performance. This paper explores how SAS advanced analytics and predictive modeling tools -- available through the SAS COVID-19 Data Analytics Resource Hub -- can help businesses understand demand, adjust strategies, and emerge stronger and more agile than ever.