White Papers
B2B Sales & Marketing Machine Learning
This whitepaper reviews an approach for applying machine learning and predictive analytics in a B2B sales & marketing environment.
Mosaic Data Science uses artificial intelligence techniques and data analysis to predict future demand for products or services. Read up on how we have used demand forecasting to provide businesses with insights into the expected demand patterns to make informed decisions about production, inventory management, resource allocation, and overall business strategy.
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.
We helped one of the largest Children’s Healthcare Network more accurately forecast patient volume across their hospitals.
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.
We examine how to apply ML & AI for the IoT use case of mining for aircraft performance insights.
We revamped this trucking operator’s demand forecasting models to optimize fleet placement across North America.
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.
We built a custom demand forecasting model using ML techniques, helping a leading professional services firm predict office bandwidth requirements.