Specialty Beverages Company: Building a Future-Ready Supplier Data Warehouse

Case Study

A globally renowned specialty beverages company operates a massive and highly complex supply chain. With over 400,000 suppliers and vendors across 70+ countries, the business required deep visibility into its sourcing network to protect quality, sustainability and customer trust. The company partnered with The AES Group to modernize its supplier data strategy and empower smarter enterprise decisions at scale.

	The Challenge
	Supplier and vendor information lived in disconnected systems spanning continents — ERP platforms, regional databases, spreadsheets and legacy applications. Conflicting attributes and limited quality controls slowed sourcing decisions and increased operational risk. Leadership lacked a reliable way to track supplier performance, ESG commitments and compliance. To secure resilience and reduce cost pressures, a centralized, trusted data foundation was urgently needed.
	Our Approach
	The AES Group designed and built a Microsoft-powered Supplier Data Warehouse that unified and standardized data from 400,000+ suppliers worldwide. Using Azure Data Factory, Azure Synapse, Microsoft Purview and MDM models, our team established a single global taxonomy, automated ingestion pipelines and self-service analytics. Integrated dashboards provide actionable insights in real time — tracking risk, compliance, sustainability indicators and supplier lifecycle health across the enterprise.
	Our Outcomes
	By centralizing and modernizing supplier intelligence, the organization unlocked measurable improvements in resilience, visibility, and decision velocity: Weeks-to-hours reporting for faster, data-driven sourcing and operational decisions Turnaround improvement in supplier-risk detection and proactive issue resolution Unified source of truth for 400,000+ suppliers, elevating trust and collaboration across regions Enhanced ESG and compliance tracking to support responsible and sustainable sourcing Streamlined operations through standardized global taxonomy and governance Future-ready foundation for AI-powered forecasting and supplier performance automation

The Challenge

Our Approach

Our Outcomes

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