Case Study: Large Online Retailer achieves end-to-end order visibility and recovers $900K annually with Splunk

A Splunk Case Study

Preview of the Large Online Retailer Case Study

How Splunk Software is Used to Troubleshoot Transactions

A large, rapidly growing online retailer (founded in the 1980s, ~$25B revenue, >90,000 employees) was processing up to four million orders per hour across a loosely coupled stack of dozens of custom and partner systems. Siloed logs and inconsistent identifiers meant orders frequently “fell between the cracks,” causing lost revenue, long troubleshooting times, SLA violations and poor customer experience.

By deploying Splunk Enterprise to aggregate, index and correlate machine data, the retailer built dashboards and transaction traces that provide end-to-end visibility without re‑architecting systems. The solution enabled support teams to find and fix issues ~25% faster, prevented up to 100 lost orders per week (about $900,000 annual recovery), reduced MTTR and improved order fulfillment and customer satisfaction.


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