With a proven track record of delivering innovative solutions, Mosaic Data Science brings R’s capabilities to life across diverse industries and applications. From web development to data analysis, automation to machine learning, our skilled team navigates the R ecosystem to create robust, scalable, and efficient solutions.
A leading CPG company wanted to diagnose cannibalization hypotheses using a data-analytics-driven approach.
Retail executives need to think more like tech companies, using AI and machine learning not to just predict how to stock and staff their stores, but also to dynamically recommend products and set prices at the individual consumer level.
Meeting customer expectations is more difficult than ever, more and more of market share goes to companies who are able to perceive needs rather than react. Whether e-tailing or selling in brick-n-mortar stores, inventory planning is a promising area for predictive analytics,
Optimizing seasonal staffing and resourcing is a key challenge for many industries, especially when the exact timing of high-volume activity can change based on complex factors.
We designed and deployed an AI model to predict shipments at risk of late fees for one of the world’s largest CPG businesses.
Root cause and diagnostic analytics is a great approach for identifying computer failures.
Applying statistical inference is a great way for businesses to get more value out of there email marketing programs.
We revamped this trucking operator’s demand forecasting models to optimize fleet placement across North America.
Our AI consultants designed and deployed a custom tool to forecast store-level demand for a leading food & beverage manufacturer.
We built a custom demand forecasting model using ML techniques, helping a leading professional services firm predict office bandwidth requirements.