Designed for high-volume enterprise commerce and B2B SaaS, Skubl shifts the workflow from manual observation to autonomous remediation. Instead of relying on human analysts to interpret dashboards or heatmaps, Skubl deploys a swarm of Synthetic User Agents—AI models imbued with specific behavioral personas—to navigate digital storefronts 24/7. How it works: The platform operates as a "Self-Healing" layer sitting between the user and the origin server. Detection: Synthetic agents simulate thousands of purchase journeys across various devices, network speeds, and geographies. They actively detect friction points such as broken checkout flows, layout shifts (CLS), accessibility (WCAG) violations, and slow API responses. Analysis: Utilizing proprietary Causal Inference models, the system quantifies the revenue impact of each friction point in real-time. Remediation: Skubl integrates at the CDN/Edge level (Cloudflare Workers/AWS Lambda) to deploy instant code patches, redirect traffic, or launch server-side A/B tests to resolve the issue without requiring engineering sprints. Core Capabilities: Agentic QA: Automated "Mystery Shopping" that tests complex flows (e.g., Add to Cart, SSO Login) continuously. Visual Governance: Computer vision models trained on brand guidelines to ensure automated changes never violate design systems (fonts, colors, spacing). Server-Side Experimentation: A no-flicker A/B testing engine that executes at the Edge, ensuring 100% SEO compatibility and zero latency. Dynamic Content Optimization (DCO): Programmatic restructuring of page layouts based on user intent signals. Skubl is currently used by engineering-led teams in Luxury Fashion, Global Retail, and Fintech to eliminate the "latency gap" between ad acquisition and onsite experience. Integrates natively with Shopify Plus, Salesforce Commerce Cloud, Next.js, and Segment.