Case Study: Merck Improves Regulatory Assessment Speed and Reduces Manual Effort with Amazon Web Services

Merck Improves Speed and Reduces Manual Effort to Assess Change Proposals Up to 70% on AWS

Merck faced the challenge of speeding up and standardizing regulatory change assessments in life sciences manufacturing, where scientists had to manually evaluate complex supply chain and market requirements. Using Amazon Web Services (AWS), Merck built the Change Assessment Knowledge Engine (CAKE) to help chemistry, manufacturing, and control scientists make change assessments more quickly and consistently.

Amazon Web Services (AWS) powered CAKE with an Amazon Neptune graph database and a natural language processing model trained on historical data. The solution identifies impacted markets, reporting requirements, and country regulations, then recommends regulatory actions with links to supporting sources. Merck reported that CAKE reduced manual effort and improved assessment speed, cutting the time to assess change proposals by up to 70%.

Merck

John Baker

Executive Director of Machine Learning and Analytics