Case Study: Merck achieves data-driven supply chain efficiency and personalized product recommendations with Looker

Merck Life Science Ensuring scientists get the products they need with powerful ML models

Merck Life Science, part of Merck KGaA Darmstadt, Germany, needed better visibility into complex supply chains and a way to help customers quickly find the right products across hundreds of thousands of items. Before working with Looker, its third-party data tools provided only limited, descriptive insights, making it hard to predict demand, reduce inefficiencies, and support faster decision-making.

Looker was used alongside Google Cloud tools to centralize data and make insights more accessible across the business. Merck Life Science used Looker dashboards to improve data literacy, with ecommerce dashboard traffic rising 650% in two years, and to support product recommendations and product-comparison experiences that increased traffic to comparison pages by 5x. This helped the company become more customer friendly, faster in its analysis, and more efficient in its supply chain.

Merck

Gail Buffington

Head of Data Science and Analytics