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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.

Reporting by Amazon Science 1 min brief
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The KeyNews take

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 know

  1. Graph-based models enable ML at scale for demand forecasting

  2. Models capture product and seller correlations

  3. 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.
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