CASE STUDY
Industry | Retail
Technology | Salesforce B2C Commerce (SFCC)
Location | United States
True Religion, a global fashion brand known for its denim and apparel, relies on Salesforce B2C Commerce to deliver seamless digital shopping experiences to customers worldwide. During critical shopping periods, the brand faced recurring challenges: checkout failures, payment disruptions, and site availability incidents were often identified reactively—through customer complaints or downstream teams—rather than proactively. This delayed response times, increased revenue risk, and eroded customer trust during the moments that mattered most.
Royal Cyber partnered with True Religion to implement a comprehensive 24/7 L1 application support model. We established proactive monitoring, structured incident management, and real-time observability across the entire Salesforce B2C Commerce ecosystem. By introducing Logz.io for backend observability and Quantum Metric for digital experience intelligence, we transformed True Religion’s support operations from reactive firefighting to SLA-driven, proactive protection—ensuring platform stability, faster incident resolution, and uninterrupted customer experiences.
Reactive Incident Detection Model. The availability of the site, checkout, and payment were discovered only when the customers reported a problem or the downstream teams complained of failure, posing unacceptable response delays.
Checkout/Payment Reliability Gap. The high checkout and failed payments had a direct influence on revenue conversion and poor customer experience on the busiest shopping periods.
Lack of Standardized Incident Frameworks. The response was not very consistent, and critical incidents were not prioritized without clear levels of severity or escalation procedures.
Unmonitored Critical Jobs Scheduled and real-time tasks (e.g., Yotpo order exports) were not working without warning, affecting downstream commerce activities.
Low Customer Visibility of Impact. At times of incidents the teams themselves were not clearly seeing the number of customers being impacted or the specific journeys that were going wrong.
Third-Party Integration Failures The payment gateways, tax services and fraud detection tools remained silent where no notification was sent to the operations team of an issue.
70%
Earlier incident identification by active surveillance and real-time notifications.
60%
Reduction in Mean Time to resolve (MTTR) of high severity (P1/P2) incidents.
48%
Order volume drop detected within 5 minutes during a P1 website outage
100%
24/7 platform coverage ensuring continuous availability during peak retail periods
Active 24/7 coverage. Mobilized an L1 support team that would offer 24-hour real time support to have no coverage lapse during the high shopping seasons.
Framework of SLA. Standardized incident prioritization (P1-P4) with set SLAs, escalation routes and response regimens to be handled uniformly.
Quantum Metric Digital Intelligence. Implemented Quantum Metric to replay sessions and customer journeys so that it is easy to visualize checkout drop-offs and UX failures during incidents.
Comprehensive SOPs Development Developed full intake, troubleshooting and escalation, and resolution Standard Operating Procedures ensuring repeatable, consistent incident response.
Correlations of Incidents Using Dual-Tool. Further contextualize incident with Combined Logz.io (what failed) and Quantum Metric (how customers were affected) to speed up its resolution.
Logz.io Backend Visibility. Established Logz.io as a real-time error detection solution for Salesforce B2C Commerce, payment gateways, APIs, and third-party integrations, i.e. detecting failures as soon as they happen.
E-commerce Platform: Salesforce B2C Commerce (SFCC)
Backend Observability: Logz.io
Monitoring Coverage: Checkout flows, payment gateways, order management, third-party integrations
Digital Experience Intelligence: Quantum Metric
CDN/Infrastructure: Cloudflare and other platform dependencies
Supported Payment Methods: Klarna, Credit Cards, Amazon Pay, Afterpay
Executive Insights
- A 48% order drop was detected within 5 minutes and traced to a Cloudflare outage—enabling rapid validation and recovery.
- Zero-transaction events across credit cards and Klarna were identified immediately, traced to a Salesforce platform quota breach, and restored during peak season.
- Critical job failures (Yotpo order exports) are now detected proactively before impacting downstream operations.
- Checkout reliability and payment success rates improved through continuous monitoring and rapid remediation.
- Logz.io identifies what failed; Quantum Metric shows how customers were affected—together providing complete incident visibility.
60%
Reduction in Mean Time to resolve (MTTR) of high severity (P1/P2) incidents.
Audience
- Executives, CTOs, Director
- IT Consultants
- Business Analysts
- Payment Operations Managers
- Salesforce B2C Commerce Platform Owners
- eCommerce & Digital Commerce Directors
