Abstract
This study investigates the effectiveness of artificial intelligence in predicting business-to-business sales in the global automobile aftermarket. The research examines the differences between conventional sales forecasting methods and sophisticated artificial intelligence approaches, with a specific focus on a manufacturing company. The research assesses the performance of AI models compared to traditional time series analysis using a comparative analysis. The findings demonstrate the capacity of AI to improve the accuracy, flexibility, and scalability of forecasting in a global market setting. This study enhances our understanding of the practical use of artificial intelligence in sales prediction for the automobile aftermarket.
| Original language | English |
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| Publication status | Published - Jun 2024 |