Blogs
Managing Business Travel Risk with Machine Learning
Mosaic is developing a machine learning based tool that assists corporate travel manages and business travelers in making the safest travel decisions possible.
Case Studies
Automated Cooking Prediction & Optimizer | Deep RL
Mosaic built an automated cooking prediction & optimizer using deep reinforcement learning to improve short term cooking operations.
Case Studies
Loyalty Program Discounting
Executives thought they could drive even more gasoline sales through further discounting to their members. They needed to measure if dropping the price per gallon drove more sales volume, validating their beliefs. Instead of relying on ‘tribal’ knowledge.
Blogs
Algorithm Quality Assurance via Auditing & MLops
Algorithms can be trained to mimic human behavior, but what happens when the human developing the algorithm inadvertently allows bias into the training process?
White Papers
Expanding Statistical Hypothesis Testing
If a decision maker is only relying on their ‘gut’, they are not only behind the times, but at high risk of losing competitive advantage, customers and market share.
Blogs
Moving Fast & Deploying Predictive Analytics
Working in conjunction with subject matter experts, data scientists can swiftly apply statistical tools and uncover emerging trends. This is extremely valuable for companies trying to operate in a disruption. Not only will executives have an accurate representation of their present situation, but new products & services can be devised from these insights.
White Papers
Fusing Weather Data into Machine Learning Predictions
Weather has a high impact on operations in many industries, and therefore is of great value to integrate into strategic decision making. Mosaic has roots in aviation research & development, giving us deep expertise in combining weather data streams with planning applications to facilitate efficient resource allocation.
Blogs
Combat Supply Chain Disruptions with Data Science
Global external shocks are going to continue to happen, that is a fact of operating a business in today’s environment. As companies embrace data science in their decision-making processes, they are better positioned to deal with these disruptions, allowing them to manage a risk-optimized supply chain.
Case Studies
Wholesale Cannibalization Analysis
A leading CPG company wanted to diagnose cannibalization hypotheses using a data-analytics-driven approach.
Case Studies
Price Optimization for Major Clearance Sales
A leading clothing manufacturer distributor and retailer of clothing realized they needed to fortify their pricing decisions with machine learning insights.