Real-World ML Systems | Industry Case Studies 2023

📊 Real-time Decision Making
Systems are designed for low-latency, real-time predictions that directly impact user experience and business outcomes.

🔄 Human-in-the-Loop
Many implementations combine AI with human expertise (Stitch Fix) or provide human oversight for critical decisions.

💰 Direct Business Impact
Each ML system solves a clear business problem with measurable ROI: reduced fraud, increased sales, improved retention.

Implementation Focus

These case studies demonstrate that successful ML systems prioritize business impact over technical complexity, focusing on solving real problems with measurable outcomes rather than using the latest algorithms for their own sake.

How we built it: Stripe Radar

Personalized 'Complete the Look' model

Demand and ETR Forecasting at Airports

An ML based approach to proactive advertiser churn prevention

A New Era of Creativity: Expert-in-the-loop Generative AI at Stitch Fix

Building a mind reader at Swiggy using Data Science

Key Industry Insights

Common Patterns & Lessons Learned

Implementation Focus