Financial Services
Challenge
Bank needed to reduce loan default rates while speeding up approval decisions.
What we do
ML credit scoring model analyzing 200+ features including alternative data. Automated decisioning for 80% of applications.
Result
Default rates reduced by 35%, approval time from 5 days to 5 minutes, $2M annual savings.
Manufacturing
Challenge
Factory experienced costly unplanned downtime due to equipment failures.
What we do
Predictive maintenance using sensor data and ML to forecast failures 2 weeks in advance.
Result
Unplanned downtime reduced by 70%, maintenance costs down 25%, OEE improved by 15%.
Healthcare
Challenge
Hospital wanted to reduce patient readmissions and associated penalties.
What we do
Risk prediction model identifying high-risk patients at discharge. Automated care coordination workflows.
Result
30-day readmission rate reduced by 20%, $1.5M in avoided penalties, improved patient outcomes.
Retail
Challenge
E-commerce platform struggled with product recommendations and search relevance.
What we do
Personalization engine with collaborative filtering and NLP-powered semantic search.
Result
Conversion rate up 25%, average order value increased by 18%, search abandonment down 40%.