Data on correlated products and sellers helps improve demand forecasting
Amazon's graph-based ML models just cracked the code on demand forecasting at massive scale.

Why it matters
This shows how enterprise AI is moving beyond simple predictions to complex relationship modeling that can optimize entire supply chains and inventory decisions.
The key facts
3 to knowGraph-based models enable ML at scale for demand forecasting
Models capture product and seller correlations
Amazon deploying this across their marketplace operations
Go to the source
Amazon Scienceamazon.science
Publisher excerpt: Graph-based models capture correlations efficiently enough to enable machine learning at scale.

