eCommerce - Books, Media & Education Products

Tailored Learning Journeys with AI

goal

Challenge Faced

Learners often get overwhelmed by too many course or book options, leading to decision fatigue and poor engagement. Traditional recommendation engines fail to personalize for different learning goals.

solution

Our Solution

We implemented AI-powered recommendation systems that curate personalized learning paths and suggest relevant books, courses, or skill kits based on learner profiles, goals, and progress.

Tools we used

Unreal Engine

Approach

Step-by-Step Workflow

Step 1

Capture learner profile (age, skill level, goals).

Step 2

Track interaction data (courses viewed, books purchased).

Step 3

Apply ML models to predict best-fit recommendations.

Step 4

Display dynamic “Next Best Learning Step.”

Quantifiable Benefits

Higher course completion rates
%
Uplift in learner engagement time
0 %
Higher cross-sell of complementary materials
%
Reduced dropout rates across programs
0 %

Who’s Using This

Coursera, Udemy, edX

Innovation 1

Online bookstores like Amazon Kindle, Chegg

Innovation-2

Edtech startups offering skills-based training

Private Surgical Training Institutes

Why It Matters

Personalization ensures learners stay motivated, discover relevant content, and progress consistently creating lifelong customers.

case studies

Real Results. Real Impact.

See how these use cases helped industry leaders transform operations with AI & XR.