Case Studies

See our AI/ML deployments in action through our detailed case studies. Explore a curated selection of real-world scenarios, each meticulously dissected to showcase the transformative power of AI and machine learning. Delve into the strategies that drive efficiency, unearth hidden opportunities, and illuminate the path to informed decision-making. As you navigate through our case studies, you’ll witness firsthand how Mosaic Data Science translates data into actionable insights, propelling businesses into a future of success.

Case Studies

Wholesale Cannibalization Analysis

A leading CPG company wanted to diagnose cannibalization hypotheses using a data-analytics-driven approach.

By Drew Clancy, 5 yearsFebruary 4, 2020 ago

Case Studies

Price Optimization for Major Clearance Sales

A leading clothing manufacturer distributor and retailer of clothing realized they needed to fortify their pricing decisions with machine learning insights.

By Drew Clancy, 5 yearsFebruary 3, 2020 ago

Case Studies

Predictive Modeling for Clinical Trial Recruitment

For many pharmaceutical firms, trial recruitment forecasting plays a role in trial recruitment planning. However, these forecasts may be generated with relatively simplistic approaches based on only a small subset of available internal & external data.

By Drew Clancy, 5 yearsJanuary 20, 2020 ago

Case Studies

Automated CPG Sales Force Route Forecasting

Data Science, specifically machine learning forecasting techniques, enables decision makers across a spectrum of industries to set more effective sales targets and plan profitable customer routes that boost top and bottom line growth.

By Drew Clancy, 5 yearsOctober 28, 2019 ago

Case Studies

Customer Segmentation for Geo-Targeted Marketing

Unsupervised learning approaches are very powerful when applied to customer segmentation.

By Drew Clancy, 6 yearsSeptember 9, 2019 ago

Case Studies

Community Healthcare Utilization Risk Score

Hospitals can change the way they deliver care by understanding their communities through the application of machine learning and statistics.

By Drew Clancy, 6 yearsJuly 17, 2019 ago

Case Studies

Predicting Signal Degradation using Weather Data

Mosaic built a model that predicted signal disruption, up to 16 hours in advance, based on North American precipitation forecasts and historical signal quality measurements.

By Drew Clancy, 6 yearsJuly 17, 2019 ago