ML Development Archives

Predictive Trucking Analytics

We revamped this trucking operator’s demand forecasting models to optimize fleet placement across North America.

We examine how businesses can apply machine learning to propensity modeling, CLV, segmentation, attribution, and churn.

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.