White Papers
Workforce Planning Prediction
Optimizing seasonal staffing and resourcing is a key challenge for many industries, especially when the exact timing of high-volume activity can change based on complex factors.
Optimizing seasonal staffing and resourcing is a key challenge for many industries, especially when the exact timing of high-volume activity can change based on complex factors.
Hospitals can change the way they deliver care by understanding their communities through the application of machine learning and statistics.
Mosaic built a model that predicted signal disruption, up to 16 hours in advance, based on North American precipitation forecasts and historical signal quality measurements.
We designed and delivered a custom, extensive data science assessment to help this energy firm modernize.
We designed and deployed a custom deep learning based tool to extract images from millions of digital and scanned documents.
In our white paper, Mosaic examines fresh machine learning based approaches to more accurately forecast airline seat demand.
We examine how to apply machine learning to segment based
on transaction data and transform those clusters into customer segments.
Mosaic helps a leading 3PL company apply machine learning to predict brokerage profit drivers.
This whitepaper reviews an approach for applying machine learning and predictive analytics in a B2B sales & marketing environment.
Mosaic was engaged by a leading hotel chain to assess the best way to predict future demand for hotel rooms across their various properties.