Blogs
Tips for Customer Propensity Modeling
Propensity modeling is a powerful ML technique for solving multiple marketing analytics use cases.
Our expert team specializes in developing tailor-made machine learning solutions that drive innovation and growth. With a proven track record of successful implementations across diverse industries, Mosaic Data Science has helped customers elevate their operations, stay ahead of the competition, and make data-driven decisions with our comprehensive machine learning development services.
Propensity modeling is a powerful ML technique for solving multiple marketing analytics use cases.
Retail inventory optimization is a great candidate use case to apply machine learning & deliver immediate business value.
Oil & gas firms have a tremendous opportunity to refresh demand forecasts with ML techniques, improving accuracy and adding to the bottom line.
In this whitepaper, we examine how different companies can attack the dispatch routing optimization problem using ML & AI.
Utilizing AI techniques like NLP is a great way to reduce the time it takes to find optimal candidates for job openings.
Being able to accept machine learning outputs in the decision making process is critically important, especially in Air Traffic decisions.
Anomaly detection is a great technique to use in supervised machine learning and AI applications.
Mosaic designed & deployed a custom recommendation engine for a social media app.
This white paper examines a machine learning approach to predicting employee churn and optimizing for retention.
We built a predictive machine learning model that incorporates weather forecasts and air traffic movements to provide decision support to air traffic controllers.