Case Study: Sprint achieves real-time retail operations insight and cuts issue resolution from days to seconds with Elastic

Sprint Powering the Search for Retail Operations Insight

Sprint, a national communications company with 30,000 employees, ~60 million connections and 1,800 retail stores, was drowning in siloed machine and application data — ingesting about 3 billion events per day and 50 TB of real‑time data — which kept IT and business teams from seeing how performance issues affected sales and customer experience.

By deploying the Elastic Stack (Elasticsearch, Kibana, Beats, Logstash and X‑Pack) and building 200+ real‑time dashboards, Sprint made 38 billion documents searchable in under a second and unified operational visibility. The result: issue resolution dropped from hours or days to minutes or seconds (notably during Black Friday), online sales and digital self‑service increased, retail uptime improved, partners got self‑service tools, and the project is expected to pay for itself in under six months.

Sprint

John Felton

VP of Enterprise Services