Subject category:
Finance, Accounting and Control
Published by:
Harvard Business Publishing
Version: 14 February 2024
Revision date: 14-Mar-2024
Length: 13 pages
Data source: Published sources
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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:
Industries:
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:
Industries:
Size:
> 1 billion; Fortune 500
Other setting(s):
2017-2023