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

Salman Alam Khan; Aylin Erdoğdu

doi:10.15637/jlecon.2682

Authors

Salman Alam Khan Istanbul Arel University / Türkiye https://orcid.org/0009-0005-3451-0556
Aylin Erdoğdu Istanbul Arel University / Türkiye https://orcid.org/0009-0004-2565-4542

DOI:

https://doi.org/10.15637/jlecon.2682

Keywords:

Artificial Intelligence, Supply Chain, Food Industry, Forecasting, Demand Planning

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.

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