Case Studies
Insurance
Key Promotional Drivers for Market Leadership
Our response aimed to address the immediate attrition challenges and provide our client with a robust framework for continuously refining their retention strategies. Understanding Customer Profiles We analyzed behavioral and demographic data and created distinct segments based on product type, usage, and payment patterns. We then evaluated promotional activities targeted at various customer segments to… Read More
Retail
Out-of-Stock Scenario Solutions
Client Profile: Digital and Physical Presence The client, a foremost department store chain in the US, operates over 1,000 department stores nationwide. Besides the brick-and-mortar outlets, they maintain a distinct e-commerce channel with exclusive merchandise. Their e-commerce portfolio includes both seasonal fashion products and year-round basic items. Despite their broad reach, they grappled with inventory… Read More
Oil and Gas
Minimizing Unplanned Maintenance Shutdowns
Optimizing Oil and Gas Acid Gas Removal Units (AGRU) is crucial, but breakthroughs may cause CO2 residuals, leading to unplanned shutdowns. We responded with advanced predictive modeling and monitoring tools that offered proactive insights to prevent disruptions and ensure continuous production by addressing breakthrough-related issues promptly. Optimizing Dataset Creation and Hypothesis Testing To handle the… Read More
Pharma & Biotech
Optimizing Promotional Spending
We implemented a 2-step Marketing Mix Modeling (MMx) methodology that: Significantly improved data analysis readiness through the application of data transformation methods, including Linear-Linear, Log-Log, Linear-Log, Time Trend Variable, Dummy Variable, and Interaction Variable. Strengthened outcome assessment utilizing diverse modeling techniques, such as Multivariate Additive Regression Splines (MARS), Ordinary Least Squares (OLS), and Partial Least… Read More
Manufacturing
Supply Chain Optimization
Since March 2020, the medical devices manufacturer’s business processes for forecasting demand across multiple product lines experienced significant setbacks. These processes were not originally designed to anticipate the impact of COVID-19. Mu Sigma devised a two-phased solution to ensure a resilient supply chain through the COVID lockdown and recovery. We leveraged a precise blend of… Read More