Case Study: National Retail Company achieves faster root cause analysis and improved customer satisfaction with TigerGraph

Retailer Improves Store Operations and Increases Customer Satisfaction with TigerGraph

National Retail Company, one of the UK’s largest supermarket chains with over 1,000 stores and nearly 200,000 employees, faced a complex estate of applications, reports and data pipelines with no clear map of connectivity. Failures required intense manual effort to find impacts, delayed deliveries, degraded customer service, and pulled senior managers into round‑the‑clock troubleshooting—hurting profitability and reputations. To solve this, the retailer engaged TigerGraph and its graph analytics platform to create a digital twin of applications, ETL jobs, reports and pipelines.

TigerGraph implemented a digital‑twin solution that maps hierarchical connectivity, enables fast root‑cause analysis and identifies the “blast radius” of failures so stakeholders and corrective actions can be located quickly. As a result, the National Retail Company has significantly reduced time to perform root‑cause analysis, automated many processes to cut human intervention and operational risk, and improved customer experiences; the retailer reports “fewer issues and lower risks” and is moving toward machine‑learning models to further reduce time and cost of fixes.