AI-Powered E-commerce Backend
An online retailer's legacy backend couldn't handle traffic spikes during sales events and had no personalization capability, leading to lost revenue.
- 10x
- Traffic Capacity
- 25%
- Revenue Increase
- 99.95%
- Uptime
- 5 mo
- To Delivery
The retailer's monolithic backend crashed during every major sale event, resulting in lost orders and damaged brand reputation. The system had no personalization — every customer saw the same homepage regardless of purchase history.
They needed a scalable, cloud-native backend that could handle 10x traffic spikes gracefully and deliver personalized product experiences based on browsing and purchase behaviour.
We rebuilt the backend as a set of microservices with auto-scaling on AWS, implemented a recommendation engine driven by purchase and browse history, and added a CDN-backed storefront that stays responsive under peak load.
The platform now handles 10x traffic spikes without degradation, personalization drove a 25% revenue increase, and uptime stabilized at 99.95% across all sales events.
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