The Churn Nobody Saw Coming: How a Subscription Box Company Got 2 Weeks of Early Warning
The Patient No-Show Problem: How a Medical Clinic Reduced No-Shows With Predictive ML
The Support Ticket Backlog: How a SaaS Startup Cut Response Time in Half With ML Routing
The Overwhelmed Spreadsheet: How a Small Online Store Eliminated Stockouts With ML
A small e-commerce owner was manually tracking inventory across three sales channels in spreadsheets, leading to constant overselling and stockouts. We built a lightweight ML model trained on six months of sales history that predicted reorder points automatically and flagged low-stock risks 48 hours in advance.