it_support · ecommerce · workflow
Australian Retail Giant Delivers Always-On Digital Experience Using PagerDuty AI-Powered Incident Management
The retailer's incident management was entirely manual: engineers had to review logs, judge severity, and determine who to call, while rapid delivery cycles made it harder over time to reach the right person. There was no systematic way to correlate incidents across APIs or measure response time.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Incident event generated
The team built out technical services to route incidents across the new API platform.
Tools used
PagerDutyEvent IntelligenceServiceNow · partnerJira · partnerMicrosoft Teams · partnerDynatrace · partner
Outcome
The retailer successfully launched its new in-house website on a new API platform. PagerDuty delivered full-stack visibility, reduced resolution time by removing manual guesswork from incident routing, improved team health through more accurate alerting, and enabled stakeholder communications via status dashboards.
Results
Time savedReduced resolution time
Volumereceiving less alerts
Grounding & classification
Source type: vendor customer story
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anomaly detectionpredictive analyticssupport ticketfailure mode describedproduction runtime claimedtools describedworkflow describedretailaccuracy improvementemployee productivityresolution time reductionvendor customer storyit supportticket triageescalation workflowextract classify routemonitor detect alert