Predictive Maintenance and Alerts for Commerce Infrastructure
From use case: Predictive Maintenance and Alerts for Commerce Infrastructure
Travis Perkins plc, a United Kingdom-based building materials supplier with 5.9 billion pounds in revenue operating more than 20 businesses across 2,000 sites, deployed AI-powered observability to support its expansion into business-to-consumer e-commerce following the acquisition of the Wickes consumer brand. According to a Dynatrace case study, the organization achieved a 75% reduction in time spent resolving issues and a 66% reduction in downtime, with site reliability teams able to remediate issues proactively before end users were affected. The implementation enabled the company to accelerate delivery of new e-commerce features while maintaining service reliability across its omnichannel operations.
In a broader industry context, a national omnichannel retailer combined full-stack observability with agentic AI to address fragmented incident response during promotional events and regional traffic spikes, as documented in a 2025 Scout-itAI and Dynatrace integration case study. The deployment focused on e-commerce APIs, payment services, content delivery network edges, and in-store point-of-sale gateways, with the system converting raw telemetry into plain-language incident narratives tied to checkout health and revenue risk. New Relic's 2024 Observability Forecast Report, which surveyed 1,700 technology professionals including 148 from retail and consumer sectors, confirmed that retailers utilizing observability to deliver business value gain measurable competitive advantages during high-demand shopping periods such as Black Friday and Cyber Monday. According to data from New Relic's 2026 AI Impact Report, teams using AI-enabled observability features resolved issues on average 25% faster than peers without AI support.