This enterprise solution enables real-time personalization of financial product advertisements, leveraging customer data and behavioral analytics to deliver targeted campaigns at scale.
Challenge
The client needed to unify multiple advertising APIs and credit-offer pipelines into one cohesive, real-time system capable of individual targeting at scale — without relying on third-party ad networks.
Our Approach
We created a modular backend platform that integrated customer profiles, real-time credit scoring, and campaign management through internal APIs. A CI/CD pipeline (Jenkins) automated testing and deployment, while Kubernetes ensured reliability during heavy campaign loads.
We also implemented behavioral analytics to measure engagement and feed machine-learning models for dynamic ad placement.
Results
- Automated personalized ad delivery for millions of clients
- Reduced campaign setup time from days to minutes
- Unified data from 3 separate systems into one monitored backend
- Integrated reporting dashboards for conversion and performance
Technical Stack
Backend: Java 11 · Spring
Database: Oracle
Infrastructure: Docker · Kubernetes
CI/CD: Jenkins
Duration: 12 months
Team: 5 engineers
Why it Matters
This project strengthened our understanding of real-time personalization and API orchestration, both of which we now apply when building CRM and automation systems for startups that want enterprise-level intelligence at startup speed.