Our client is a high-volume, multi-vendor online marketplace serving a mass-market consumer base. The client operates a horizontal retail marketplace spanning 30+ categories with a seller network of 1,000+ vendors and a live catalog of 10,000+ SKUs. The platform serves millions of monthly active users across the web and a native mobile application.
With a major festive sales campaign on the horizon, the marketplace needed certainty that its platform could absorb an expected 8x traffic spike. Several historical vulnerabilities made that uncertain:
The critical concern was direct: any downtime, sluggish checkout, or mobile crash during the festive window would translate into immediate, irreversible revenue loss and long-term brand damage.
Our QA automation engineers delivered a six-stream program engineered specifically for marketplace scale and flash-sale readiness:
Checkout & Conversion Engineering
To help with the clunky checkout, we did frontend profiling of the checkout funnel using Lighthouse and Chrome DevTools, with step-level instrumentation to identify latency hotspots. Payment SDK initialization, UPI handoff, and 3DS redirect flows were also benchmarked under varying network conditions to reduce abandonment.
To address API propagation delays, we implemented end-to-end validation using Postman and REST Assured across buyer- and seller-side flows, including catalog ingestion, order management, settlement, and more. Contract testing via Pact secured the multi-service integration surface. Service virtualization through WireMock simulated the behavior of the payment gateway and logistics APIs at scale. This was necessary because third-party production payment endpoints (Razorpay, Cashfree, PayU) cannot be load-tested directly.
We also implemented Android fragmentation testing across 40+ real devices on BrowserStack and AWS Device Farm, with a weighting toward tier-2/3 device profiles. Charles Proxy was used to simulate 3G/spotty 4G conditions, offline behavior, and reconnection handling. iOS performance reviews covered battery, memory, and crash vulnerabilities, with Play Store and App Store policy compliance validated against the current target SDK and privacy requirements.
Cross-browser validation was implemented via Playwright, with responsive design, SEO, and Core Web Vitals audits. Visual regression testing was performed using Applitools to detect storefront inconsistencies across browsers and devices. Accessibility validated via Axe-Core and Lighthouse CI.
We used k6 for developer-led load tests integrated into CI; JMeter is used for broader protocol coverage and enterprise scenarios. Modeled the 8x traffic surge with flash-sale-specific failure modes: thundering herd, cache stampede, coupon race conditions, oversell prevention, and queue saturation. CDN behavior, cache invalidation, and geo-distribution validated under sustained load.
We introduced AI capabilities to keep the automation suite stable as the marketplace UI changed week to week. Self-healing locators were used to automatically adjust when elements moved or were renamed, reducing script breakage. Applitools was used to handle visual regression to catch layout shifts that functional tests would miss.
5x Traffic
Volume Readiness Verified
35% Faster
Page Load Times
45% Reduced
Cart Abandonment
80% Automated
Test Coverage
62% Reduced
Mobile Crash Reports
The engagement repositioned their QA from a support function to an active growth enabler, guaranteeing revenue continuity during the platform's busiest sales window, increasing digital conversion rates, and improving repeat customer retention.
Speak with our QA automation consultants to see how we can resolve your QA bottlenecks.