White Papers
Revamping Airline Demand Forecasting
In our white paper, Mosaic examines fresh machine learning based approaches to more accurately forecast airline seat demand.
Mosaic Data Science harnesses the latest in data science and machine learning to empower businesses to forecast future trends, behaviors, and outcomes. From optimizing inventory management to enhancing marketing strategies, our expert team helps uncover hidden patterns, minimize risks, and seize opportunities before they arise.
In our white paper, Mosaic examines fresh machine learning based approaches to more accurately forecast airline seat demand.
Mosaic helps a leading 3PL company apply machine learning to predict brokerage profit drivers.
Mosaic was engaged by a leading hotel chain to assess the best way to predict future demand for hotel rooms across their various properties.
We designed and deployed an AI model to predict shipments at risk of late fees for one of the world’s largest CPG businesses.
We helped one of the largest Children’s Healthcare Network more accurately forecast patient volume across their hospitals.
We revamped this trucking operator’s demand forecasting models to optimize fleet placement across North America.
Sometimes in ML & AI development, a data scientist will need to go and find external data sources to complement the modeling efforts.
This white paper explores how traditional models of the value of information (VoI) can be extended effectively to account for uncertainties presently inherent in gathering and analyzing big data.
Mosaic built custom ML & AI models for a leading express shipping company to optimize their overnight shipping operations.