Global Beverages: Industrializing AI to Replace Manual Operations with a Governed Lakehouse.

A global beverages leader faced a systemic operational bottleneck: a 70-FTE team dedicated to manually harmonising fragmented data across SAP, Salesforce, and multiple legacy estates. This high-cost, error-prone process hindered time-to-insight and prevented the firm from achieving the architectural agility required for autonomous supply chain orchestration.

We replaced the manual harmonisation layer with an engineered AI lakehouse architecture. By integrating automated ingestion from SAP and Salesforce with LLM-driven reasoning, we created a self-governing data factory capable of autonomous master data matching and classification.

• Databricks Medallion architecture for high-fidelity data processing
• Automated ingestion factory integrating SAP ECC and Salesforce telemetry
• LLM-driven reasoning for complex master data classification and matching
• Governed data-as-a-product design replacing manual operational silos
• Shared-risk commercial model tied to validated operational cost reduction

The solution delivered an 'Automated Truth Layer' for the global enterprise. By embedding metadata-driven governance and verifiable matching logs into the lakehouse, we ensured that every harmonised record was auditable, accurate, and ready for autonomous downstream execution.

The transformation achieved 100% automation of the previously manual harmonisation process, validating £3.3M in operational savings. This architecture now serves as the trusted foundation for autonomous demand planning and global inventory orchestration across the beverages ecosystem.