James Swanson, Chief Information Officer, Head of Digital Transformation
Industry:  Agriculture

Business Challenge

Bayer’s crop science division, the company’s agricultural arm, sought to improve the efficacy of seed performance and aimed to achieve its goal using a data-driven approach

Analytics Solution

Bayer uses artificial intelligence and machine-learning-based predictive models for a variety of initiatives, such as determining seed performance, screening the positive effect of microbes on the productivity of seed and plant growth, identifying products with enhanced-taste profiles, and determining the needs of farmers.


The artificial-intelligence-based approach has enabled Bayer to track and plan seed movement in 300,000+ seed shipments each year, ensuring timely delivery and reducing the company’s carbon dioxide output by 8%. The implementation of analytics-driven strategies, including smart equipment, have also has also helped farmers determine optimal times for harvesting.