Drew Clancy, Author at Mosaic Data Science

Deploying Analytics for CPG Late Delivery Prediction

We designed and deployed an AI model to predict shipments at risk of late fees for one of the world’s largest CPG businesses.

For one of the US’s largest healthcare systems, Mosaic designed and deployed a custom machine learning tool to identify anomalous purchase orders.

We helped one of the largest Children’s Healthcare Network more accurately forecast patient volume across their hospitals.

We designed and deployed a custom NLP engine to facilitate better population health decisions for the CDC.

We built a custom AI-driven tool for one of the largest Oil & Gas firms in the world to identify fuel usage anomalies across their entire fleet.

We built a custom, machine learning model for a leading enterprise software company, helping them identify leading indicators of churn.

Our ML consultants helped a publicly traded, multi-national manufacturer more accurately identify and predict drivers of revenue.

Read how we revamped this leading O&G firm’s fuel crack spread forecasting techniques using ML.

Root cause and diagnostic analytics is a great approach for identifying computer failures.

Applying statistical inference is a great way for businesses to get more value out of there email marketing programs.