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Published by: Harvard Business Publishing
Originally published in: 2024
Version: 14 February 2024
Revision date: 14-Mar-2024

Abstract

The case examines Levi Strauss' journey in implementing machine learning and AI into its financial forecasting process. The apparel company partnered with the IT company Wipro in 2017 to develop a machine learning algorithm that could help Levi Strauss forecast its revenues and earnings. The CFO of Levi Strauss, Harmit Singh, believed incorporating AI and machine learning into Levi Strauss' forecasting process would make the process more efficient and the resulting forecasts more accurate. While the algorithm led to more accurate forecasts, there were challenges to implementing and interpreting the AI-produced forecasts.
Location:
Size:
> 1 billion; Fortune 500
Other setting(s):
2017-2023

About

Abstract

The case examines Levi Strauss' journey in implementing machine learning and AI into its financial forecasting process. The apparel company partnered with the IT company Wipro in 2017 to develop a machine learning algorithm that could help Levi Strauss forecast its revenues and earnings. The CFO of Levi Strauss, Harmit Singh, believed incorporating AI and machine learning into Levi Strauss' forecasting process would make the process more efficient and the resulting forecasts more accurate. While the algorithm led to more accurate forecasts, there were challenges to implementing and interpreting the AI-produced forecasts.

Settings

Location:
Size:
> 1 billion; Fortune 500
Other setting(s):
2017-2023

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