RETAIL & COMMERCE
Complete platform rebuild for 50M+ monthly users with real-time AI-driven personalization delivering measurable revenue impact.
A major retailer's e-commerce platform was cracking under its own success. Built eight years earlier for 5M monthly visitors, it was now struggling to serve 50M+ users. Page load times averaged 3.2 seconds (industry benchmark: under 1 second), forcing performance engineering to constantly compromise on features. The monolithic architecture made feature releases risky and slow — every change required coordination across a dozen teams. The platform had zero personalization capability, while competitors were AI-recommending their way to revenue premiums. Every major sale event required a “war room” of engineers managing infrastructure manually. Most painfully, the business was leaving revenue on the table — their conversion rate was 40% below industry average.
Fleet Studio was brought in after the client's internal rebuild attempt stalled at 30% completion. We conducted a rapid 3-week assessment that identified the core architectural bottlenecks and designed a phased rebuild strategy that would deliver incremental value while the full platform was being reconstructed. The key insight: we didn't need to replace everything at once. We could rebuild the system incrementally, moving traffic gradually while validating performance at each stage.
This phased approach meant the business could start capturing value from day one — new features launching within weeks rather than years, performance improvements compounding as the new architecture took over more of the traffic.
3-week deep dive identified architectural bottlenecks and validated migration strategy.
Designed modular backend services and headless frontend enabling independent team velocity.
Moved traffic progressively, validating performance at each stage before expanding.
We re-architected the platform as a composable commerce system with a headless frontend and modular backend services. This architectural shift was transformative — teams could now move independently without waiting for each other. Frontend teams shipped features without coordinating with backend teams. Personalization teams could experiment with recommendation models without touching the order processing system.
Headless frontend decoupled from backend services. Teams ship independently without blocking each other.
Modern React-based frontend with server-side rendering and incremental static regeneration for performance.
AI-powered recommendations using collaborative filtering and contextual bandits. Suggestions served in under 50ms.
Content cached at edge nodes globally. Sub-800ms page loads from any location on Earth.
Built directly into the platform. Every feature ships as an experiment. Data-driven decision making is built in.
Handles 10x traffic spikes without manual intervention. No more war rooms managing infrastructure during sale events.
But the real magic was the personalization engine. Using collaborative filtering to identify similar customers and contextual bandits to optimize recommendations in real-time, the system learned what each customer wanted and served it up at the moment they were most likely to buy. The ROI was immediate and dramatic.
The platform that was dragging the business down became a competitive advantage. Teams were now shipping features in days rather than quarters. The business was capturing revenue from personalization that competitors were only dreaming about. And the infrastructure was so resilient that peak sale events went from stressful all-hands crises to just another day at the office.
By decoupling frontend from backend and breaking backend into modular services, teams moved independently. This multiplied productivity far more than any process change could.
Personalization should be the first investment, not the last. We built it into the core architecture and it drove 35% of revenue. That's a 10x ROI multiplier on platform investment.
By pushing content to edge nodes globally and making intelligent caching decisions, we eliminated latency problems that had been bottlenecks for years. CDN-first isn't just faster — it's a different operational model.
The client's internal rebuild was stuck at 30% because they tried to build everything before deploying anything. Our incremental approach delivered value from month one while the full rebuild continued.
Every 100ms improvement in load time drove measurable conversion improvements. Performance engineering wasn't a cost center — it was a profit center. The best money we spent was on performance.
By building A/B testing into the platform itself, we shifted the culture from “let's ship this feature” to “let's test this feature and see what happens.” Data-driven decision-making became the default.
Legacy commerce platforms become revenue ceilings. If your platform is slowing you down, limiting personalization, or requiring war rooms for peak events, let's discuss a modernization strategy. We'll help you rebuild incrementally, capturing value along the way.