Case Studies
Retail Inventory Optimization for Size Profiles
Retail inventory optimization is a great candidate use case to apply machine learning & deliver immediate business value.
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.
Mosaic built a custom pricing system powered by artificial intelligence that recommends prices for 150M SKUs.
Developing a custom, forward-looking customer lifetime value metric is a great way businesses can improve customer relations.
Mosaic designed & deployed a custom recommendation engine for a social media app.
Mosaic built and delivered a custom data science training program for a leading oil & gas firm.
This case study examines how Mosaic helped NASA and the FAA dynamically balance airspace capacity & demand.
We built a predictive machine learning model that incorporates weather forecasts and air traffic movements to provide decision support to air traffic controllers.
Mosaic built custom ML & AI models for a leading express shipping company to optimize their overnight shipping operations.