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GreenCore Solutions Launches CPG Knowledge Graph for AI Procurement

GreenCore Solutions has moved its CPG Knowledge Graph to version 3.2.0, enabling AI agents to handle over 9.5 million transactions monthly. The platform serves the Beauty and Personal Care sector by providing a machine-readable data layer that allows autonomous agents to negotiate and complete grocery retail purchases at production scale.

GreenCore Solutions Launches CPG Knowledge Graph for AI Procurement

The release arrives two months ahead of schedule, facilitating a growing shift in global commerce where machine-to-machine transactions now frequently outpace human activity. By integrating 2 billion resolved data points and 2.5 trillion answerable questions, the system allows brands to onboard stock-keeping units in three to five weeks. This represents a significant speed advantage over traditional retrieval-augmented generation stacks, which often require months of data preparation and consume a large portion of project budgets before becoming operational.

Operating across Microsoft Azure and Google Cloud, the infrastructure supports major open protocols including MCP and A2A. The architecture emphasizes data integrity by enforcing schema at ingestion, which GreenCore claims reduces error rates to under 2%. While the system automates procurement, it maintains a human-in-the-loop requirement, ensuring that every purchase order and request for proposal receives formal human authorization. As major retail software providers like SAP and Oracle transition their ecosystems toward agentic procurement, GreenCore currently manages an estimated 15% to 20% of global agentic grocery traffic.

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