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 provides efficient and effective algorithm and model deployment services. In collaboration with our customers, we prototype a number of different candidate machine learning models, and eventually select the top performers to be deployed enterprise-wide.
Deployment into your existing IT infrastructure requires a different skill set than algorithm design and selection. Our data scientists are well versed in a number of data platforms and are adept at integrating R and/or Python scripts into consumable reports, dashboards or visualizations.
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 designed and deployed an AI model to predict shipments at risk of late fees for one of the world’s largest CPG businesses.
For one of the US’s largest healthcare systems, Mosaic designed and deployed a custom machine learning tool to identify anomalous purchase orders.
We designed and deployed a custom NLP engine to facilitate better population health decisions for the CDC.
We built a custom AI-driven tool for one of the largest Oil & Gas firms in the world to identify fuel usage anomalies across their entire fleet.
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 designed and deployed predictive analytics to help doctors treat diabetes more efficiently and effectively long-term.
Retail inventory optimization is a great candidate use case to apply machine learning & deliver immediate business value.