Custom AI for Enhanced Customer Experience
Large online store selling electronics and home goods with millions of products, competing against giants like Amazon
~15% increase
25% more in A/B tests
20% higher
40% reduction
12% boost from dynamic pricing
Poor site personalization with static catalog. Competitors using AI-driven recommendations and chatbots. Rule-based 'customers also bought' lists underperformed, customer support tickets spiked during peak seasons.
Custom software solution with recommendation engine using hybrid approach (collaborative filtering + content-based embeddings) and AI-powered customer service chatbot with fine-tuned LLM integration.
AWS SageMaker cluster with Airflow data pipelines ingesting events into Redshift
Matrix factorization for user-item ratings, Transformers for semantic embeddings
Containerized inference pipeline with Kubernetes auto-scaling, LLM API with conversation history
Model explainability using SHAP, GDPR-compliance with encryption
Delivered 15% AOV increase, 25% more product engagement, and 40% reduction in support volume with dynamic pricing capabilities.
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