Case Study: Building an AI-Powered Recommendation Engine for an EdTech Learning Platform for SkillForge Learning
Learners struggled to discover relevant material in a large course catalog, leading to low completion rates. We built an API-first custom web platform equipped with an AI recommendation model.
Commercial & Architectural Bottlenecks Before Engagement
When SkillForge Learning first approached KK Next Tech Solutions, their existing systems were struggling to support business scale, causing severe drop-offs in customer experience and conversion efficiency.
Key Roadblocks Identified During Audit
- High course catalog size but poor course-completion and repeat-enrollment rates.
- Learners struggled to find relevant courses, increasing drop-off after sign-up.
- Manual, static course suggestions were unrelated to individual learning behavior.
- No unified data layer connecting user activity, progress, and purchase history.
The Engineering & Growth Strategy
Our engineering team re-architected the stack from the ground up to guarantee high speed, seamless operational workflows, and maximum ROAS efficiency.
Technical Blueprint
Developed a custom web application with an AI recommendation engine based on learner behavior, integrating video, payment, and certification APIs into a unified user flow.
- Custom React/Node.js learning platform
- AI recommendation engine (content-based + behavioral model)
- Third-party API integrations (payments, video, certification)
- Analytics layer for engagement and completion tracking
Technologies & Architecture Integrated
The Results & Commercial ROI Impact
Post-deployment analytics measured across 90 days of live production traffic.