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Automated CPG Sales Force Route Forecasting
Data Science, specifically machine learning forecasting techniques, enables decision makers across a spectrum of industries to set more effective sales targets and plan profitable customer routes that boost top and bottom line growth.
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Customer Segmentation for Geo-Targeted Marketing
Unsupervised learning approaches are very powerful when applied to customer segmentation.
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Community Healthcare Utilization Risk Score
Hospitals can change the way they deliver care by understanding their communities through the application of machine learning and statistics.
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Predicting Signal Degradation using Weather Data
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.
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Data Science Center of Excellence Assessment
We designed and delivered a custom, extensive data science assessment to help this energy firm modernize.
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Deep Ranking for Image Similarity
We designed and deployed a custom deep learning based tool to extract images from millions of digital and scanned documents.
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Advanced Analytics for 3PL
Mosaic helps a leading 3PL company apply machine learning to predict brokerage profit drivers.
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Forecasting Hotel Room Demand
Mosaic was engaged by a leading hotel chain to assess the best way to predict future demand for hotel rooms across their various properties.
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Deploying Analytics for CPG Late Delivery Prediction
We designed and deployed an AI model to predict shipments at risk of late fees for one of the world’s largest CPG businesses.
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Purchase Order Email Classifier
For one of the US’s largest healthcare systems, Mosaic designed and deployed a custom machine learning tool to identify anomalous purchase orders.