Manufacturing Case Studies and Success Stories with Mu Sigma
CASE STUDY A leading optical fiber manufacturer
Mu Sigma used machine learning to help a leading optical fiber manufacturer increase yield and reduce scrap. The team lacked real-time visibility into After Draw Yield (ADY) and needed to understand ...process variables. Mu Sigma implemented Random Forest and LASSO regression models, automating data analysis and scaling the solution across machines. The result was a 9% increase in fiber yield, $2.5M in potential annual revenue gains, and a boost in production capacity by 0.6M fiber kilometers.
Pharmaceuticals Case Studies and Success Stories with Mu Sigma
CASE STUDY A global pharmaceutical company
Mu Sigma built a real-time physician alert system for a global pharmaceutical company. The company struggled to spot early signs of physician interest and missed engagement chances due to slow, fragm...ented data. Mu Sigma integrated multiple data sources and created triggers to detect key physician behaviors. The system sent real-time alerts to field teams and automated signal detection. Physician engagement efficiency rose by 45%. Manual workload dropped by over 30%.
Mu Sigma used its Digital Twin simulation for a global pharmaceutical leader. The client faced delays and high costs in large immunology trials due to resource overload and protocol overlap. Mu Sigma... built a Digital Twin cockpit to simulate over 20 protocols, 5,000 sites, and 700 CRA portfolios. The solution let the client test scenarios, forecast disruptions, and adjust resources in real time. The result was zero CRA bottlenecks, faster trial execution, and a scalable framework for future trials.
Mu Sigma used its AI-powered patient risk monitoring solution for a major pharmaceutical company. The company faced problems with inconsistent lab testing and missed safety signals in clinical trials.... Mu Sigma built a risk classification engine that unified data, flagged adverse events, and automated workflows. This improved early detection of patient safety risks by over 60%. The solution also reduced unnecessary lab visits and helped update trial protocols dynamically.
Mu Sigma used predictive AI models to help a Fortune 500 pharmaceutical company detect rare diseases early. The company struggled with limited real-world data and underdiagnosed patients. Mu Sigma bu...ilt AI models using EMR and insurance claims data. They found 4 new early-stage indicators and validated clinical symptoms with doctors. The solution increased the estimated eligible patient pool from 0.5% to 7%. It identified 95% of patients with the rare disease in test sets.
Mu Sigma used AI vision models to help a large biopharma company assess ulcerative colitis severity in clinical trials. The old method was subjective and missed important details. Mu Sigma built mach...ine learning models to analyze endoscopy videos with more accuracy. The new system reduced physician workload by 90%. It helped the company show better results in drug trials and improved their chance of drug approval.
Other Industry Case Studies and Success Stories with Mu Sigma
CASE STUDY leading global high-tech brand
Mu Sigma's Customer Experience Real Time (CERT) system uses generative AI to analyze customer sentiment for a global high-tech brand. The company struggled to turn fragmented feedback into actionable... insights. CERT provided real-time sentiment analysis, visualizations, and competitor benchmarking. Brand sentiment rose by 6% in three months. Repeat purchases increased by 15%. Market insights arrived 50% faster, helping the brand improve products and stay ahead.
