What Impact Do AI-Based Methods Have On Enhancing Demand Forecasting Accuracy In PT Nestlé Indonesia’s Supply Chain Compared To Traditional Methods?

Putri, Anindita Pramesthi (2025) What Impact Do AI-Based Methods Have On Enhancing Demand Forecasting Accuracy In PT Nestlé Indonesia’s Supply Chain Compared To Traditional Methods? Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

This study investigates the impact of artificial intelligence (AI) in demand forecasting on the supply chain efficiency. The research aims to assess the efficacy of AI-based methods compared to traditional approaches and explore their potential to address challenges within the CPG industry in Indonesia. By comparing AI ARIMA with conventional methods like moving averages and exponential smoothing, the study demonstrates AI's superior accuracy in forecasting demand. Lower Mean Absolute Percentage Error (MAPE) values indicate AI's proficiency in capturing complex demand patterns, leading to more precise forecasts. The integration of AI in demand forecasting offers significant benefits for the CPG supply chain, including optimized inventory levels, reduced storage costs, and improved product availability. However, successful implementation requires attention to data quality, analytical capabilities, and system integration. Overall, adopting AI forecasting methodologies shows promise in enhancing the resilience and sustainability of the CPG supply chain, particularly in addressing market variability, post-COVID-19 consumer behavior shifts, and evolving market demands. This underscores the importance of a comprehensive approach to supply chain management to harness the full potential of AI technologies.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Artificial Intelligence (AI), Demand Forecasting, Supply Chain Efficiency, CPG Industry (Consumer Packaged Goods)
Subjects:	H Social Sciences > HD Industries. Land use. Labor H Social Sciences > HD Industries. Land use. Labor > HD30.27 Business forecasting
Divisions:	Faculty of Creative Design and Digital Business (CREABIZ) > Business Management > 61205-(S1) Undergraduate Thesis
Depositing User:	Anindita Pramesthi Putri
Date Deposited:	02 Feb 2025 06:24
Last Modified:	02 Feb 2025 06:24
URI:	http://repository.its.ac.id/id/eprint/117575

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