Case Studies
Advanced Revenue Forecasting
Our ML consultants helped a publicly traded, multi-national manufacturer more accurately identify and predict drivers of revenue.
Mosaic Data Science has a long history of using the latest and greatest in AI and ML to help customers determine how to drive impactful outcomes based on their data and processes.
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.
Optimizing how airplanes take off is a perfect use case for fusing IoT and predictive analytics.
We examine how businesses can apply machine learning to propensity modeling, CLV, segmentation, attribution, and churn.
Retail inventory optimization is a great candidate use case to apply machine learning & deliver immediate business value.
In this whitepaper, we examine how different companies can attack the dispatch routing optimization problem using ML & AI.
Being able to accept machine learning outputs in the decision making process is critically important, especially in Air Traffic decisions.
Mosaic built a custom pricing system powered by artificial intelligence that recommends prices for 150M SKUs.
Manufacturing companies have a large opportunity to apply data science techniques like AI & ML to optimize their business processes.
Developing a custom, forward-looking customer lifetime value metric is a great way businesses can improve customer relations.