Case Studies
AI-Enabled Retail Inventory Management
Retail inventory optimization is a great candidate use case to apply machine learning & deliver immediate business value.
See our AI/ML deployments in action through our detailed case studies. Explore a curated selection of real-world scenarios, each meticulously dissected to showcase the transformative power of AI and machine learning. Delve into the strategies that drive efficiency, unearth hidden opportunities, and illuminate the path to informed decision-making. As you navigate through our case studies, you’ll witness firsthand how Mosaic Data Science translates data into actionable insights, propelling businesses into a future of success.
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.