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

Author

Listed:
  • Salman Alam Khan

    (Istanbul Arel University / Turkiye)

  • Aylin Erdogdu

    (Istanbul Arel University / Turkiye)

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.

Suggested Citation

  • Salman Alam Khan & Aylin Erdogdu, 2025. "A study on the impact of artificial intelligence on demand forecasting in food industries," JOURNAL OF LIFE ECONOMICS, Holistence Publications, vol. 12(ongoing), pages 2682-2682.
    • Handle: RePEc:jle:journl:jlecon2682
    DOI: 10.15637/jlecon.2682
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