Case Studies
Oil Terminal Inventory Imbalance Prediction
Oil & gas firms have a tremendous opportunity to refresh demand forecasts with ML techniques, improving accuracy and adding to the bottom line.
Mosaic Data Science’s supply chain optimization solutions are designed to streamline operations, from sourcing and production to distribution and delivery. Our team has ample experience helping customers minimize costs, reduce delays, and enhance overall performance.
Oil & gas firms have a tremendous opportunity to refresh demand forecasts with ML techniques, improving accuracy and adding to the bottom line.
Mosaic built a custom pricing system powered by artificial intelligence that recommends prices for 150M SKUs.
This case study examines how Mosaic helped NASA and the FAA dynamically balance airspace capacity & demand.
We built a predictive machine learning model that incorporates weather forecasts and air traffic movements to provide decision support to air traffic controllers.
Mosaic built custom ML & AI models for a leading express shipping company to optimize their overnight shipping operations.