A study on the impact of artificial intelligence on demand forecasting in food industries

Salman Alam Khan () and Aylin Erdogdu ()
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Salman Alam Khan: Istanbul Arel University / Turkiye
Aylin Erdogdu: Istanbul Arel University / Turkiye

JOURNAL OF LIFE ECONOMICS, 2025, vol. 12, issue ongoing, e2682-e2682

Abstract: This study examines how artificial intelligence (AI) is transforming the food supply chain by improving forecasting, demand planning, and operational efficiency. AI technologies like predictive analytics and machine learning enhance accuracy and responsiveness but face challenges such as data quality, system integration, and high costs. By surveying 370 food industry professionals, the research explores the benefits and barriers of AI adoption, providing actionable insights to optimize supply chain processes. The findings aim to support businesses and policymakers in leveraging AI strategically for competitive advantage and supply chain resilience.

Keywords: Artificial Intelligence; Supply Chain; Food Industry; Forecasting; Demand Planning (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:jle:journl:jlecon2682

DOI: 10.15637/jlecon.2682

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