Publications
Publications
- April 2021 (Revised August 2021)
- HBS Case Collection
Borusan CAT: Monetizing Prediction in the Age of AI (A)
By: Navid Mojir and Gamze Yucaoglu
Abstract
Borusan Cat is an international distributor of Caterpillar heavy machines. Esra Durgun (Director of Strategy, Digitization, and Innovation) and Ozgur Gunaydin (CEO) seem to have bet their careers on developing Muneccim, a new predictive technology that is designed to reduce downtime of heavy construction machines that Borusan Cat sells. While they have been able to manage to develop the technology to a level that beats any human expert in predicting machine failures, they still have not been able to find a way to monetize the technology. After spending a few years and millions of dollars developing the technology, they are both under pressure from Borusan Group, Borusan Cat’s holding company, to show monetary results. Sales have been declining due to the economic downturn in Turkey, and the Company has been losing market share to their strong domestic competitors. Gunaydin and Durgun must decide about their monetization strategy for Muneccim and pick which segment of the market they want to target with this technology.
Keywords
Monetization Strategy; Artificial Intelligence; AI; Forecasting and Prediction; Applications and Software; Technological Innovation; Marketing; Segmentation; AI and Machine Learning; Construction Industry; Turkey
Citation
Mojir, Navid, and Gamze Yucaoglu. "Borusan CAT: Monetizing Prediction in the Age of AI (A)." Harvard Business School Case 521-053, April 2021. (Revised August 2021.)