May 2022
Supplement
HBS Case Collection

Borusan CAT: Monetizing Prediction in the Age of AI (B)

By: Navid Mojir and Gamze Yucaoglu

Format:Print
| Language:English

Abstract

Borusan Cat is an international distributor of Caterpillar heavy machines. In 2021, it had been three years since Ozgur Gunaydin (CEO) and Esra Durgun (Director of Strategy, Digitization, and Innovation) started working on Muneccim, the company’s predictive AI tool. While the prediction accuracy of the tool was on the rise, the sales team remained resistant to incorporating it into their sales approach. Gunaydin and Durgun knew that, to get the most out of Borusan Cat’s AI technology and help its customers adopt Muneccim’s predictions, a shift in employee mindset was essential. Growing impatient with the speed at which middle management was integrating Muneccim into their processes, they began weighing options for effecting cultural change. Should they continue to employ soft tactics to get buy-in from sales reps or had the time for that passed? Would it perhaps be better to add Muneccim-based sales into the metrics for calculating bonus payments? Durgun and Gunaydin knew that, without proper implementation, even the best technology would not create much value and time was of the essence if they aimed to stay ahead of the competition.