Historical sales data, even when combined with seasonal data, is no longer enough. AI technology predicts sales and drives enhanced forecasts based on real-time data using internal and external influences including demographics, weather, performance of similar items and even online reviews and social media.
In part two, Brian discusses:
- Why in-store sales are now only part of the story
- The increasing importance of on-transactional data
- How AI can understand, interpret, and apply new data sources data to the forecast
Stay tuned for part three, where Brian will examine how AI-enabled solutions are making reliable and accurate forecasting available to all.
For more information, read the new Viewpoint: Improving Forecasting Accuracy in an Age of Retail Disruption.
Watch the other vodcasts in the series: