AI in supply chain management strengthens demand forecasting, inventory optimization and logistics. See how AI agents and generative AI improve operations.
by Databricks Staff
AI in supply chain management is the application of machine learning, generative AI and AI agents to forecast demand, optimize inventory, manage supplier risk and orchestrate logistics operations.
It draws on internal and external data, including enterprise resource planning (ERP) records, point-of-sale feeds and supplier communications, to move supply chain teams from reactive planning to continuous, automated decision-making.
Globally, 78% of supply chain executives report using AI in some capacity, and the global AI in supply chain market is projected to reach $192.51 billion by 2034.
