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Universal Semantic Layer : The foundation for instant, actionable, agentic analytics
Case Study

Instant, Governed Analytics at Billion-Record Scale for 20,000+ Suppliers

About the Customer

World-renowned retail pharmacy and healthcare leader for over a century

For nearly 125 years, this global pharmacy chain has been a trusted name in retail health and wellness, serving millions of customers daily across 9,000+ stores in the U.S. and partnering with 20,000+ suppliers worldwide. With a vast network connecting stores, distribution centers and suppliers, the company ensures timely delivery of essential healthcare products while maintaining high standards of quality and affordability.

Challenges

Limited visibility and slow insights hindered supplier performance

The organization faced major challenges in analyzing massive volumes of viewership data due to its growing scale and complexity. As data volumes surged to billions of records each month, traditional systems struggled to deliver timely and comprehensive insights.

High-volume datasets: With billions of records from 50+ tables and sources, traditional analytics systems struggled to provide actionable insights.
No single version of truth: There was no unified view of data coming from different sources, which led to inconsistent metrics and reporting across teams.
Delays in time-intensive reporting: Manual report compilation meant updates could be shared with only 200 suppliers once a month, delaying feedback and corrective actions.
Lack of secure self-service access: There was no way for suppliers to securely explore supply chain data on their own, slowing performance monitoring and actions.
Business Goals

Enhancing supplier performance and supply chain efficiency

The pharmacy company aimed to modernize its supply chain analytics to provide timely, accurate insights. They wanted to:

Scale analytics to handle 20,000+ national and international suppliers with secure, high-performance data access.
Enable timely decision-making through real-time insights instead of slow, manual reporting.
Empower suppliers with self-service insights so they can monitor their performance and align with preset KPIs.
Improve supply chain efficiency by optimizing inventory flow and ensuring products reach stores on time.
How Kyvos helped

Empowering suppliers with secure, self-service analytics

Kyvos added semantic layer to their existing data lake and allowed users to securely query billions of records, without performance delays. It also automated scorecards to eliminate manual reporting and improve operational efficiency.

Unified view of supplier performance: Provided a single version of truth for all users. Both internal teams and external suppliers’ teams can access consistent metrics across the entire supply chain.
Scalable, high-performance analytics: Supported thousands of suppliers to access scorecards concurrently with sub-second response times.
Granular insights: Enabled suppliers to track performance trends, access week-to-date, year-to-date KPIs and drill down from high-level KPIs to individual purchase orders and line-item details.
Secure, role-based access: Integrated with existing security infrastructure and provided row-level security to protect sensitive supply chain information.
Inventory cost optimization: Helped reduce costs by providing real-time visibility into supplier performance, shipment status and store-level demand to optimize inventory levels and manage demand fluctuations effectively.
Impact

Delivered instant, trusted insights to 20,000+ suppliers

ADIA records
Billions of records queried
Charter user
1000s of concurrent users
Walgreens2 reporting
100x faster reporting
ecoATM kiosk
9,000+ stores enabled