Most businesses I work with run on lagging indicators — they see what happened last month, then react. Machine learning flips that. A well-built churn or demand model tells you what will happen next month, so you can act today.
Take customer churn: a simple Gradient Boosting model trained on 12 months of usage and support data can flag at-risk accounts with 85%+ precision. Your retention team stops chasing everyone and focuses on the 200 customers most likely to leave this quarter.
If you're running a business and still making strategy from spreadsheets, you're leaving compounding revenue on the table. I help companies build that first production model — and the dashboards your leadership team needs to trust it.