A study on the impact of artificial intelligence on demand forecasting in food industries
Year: 2025
Type: article
Study design: Observational Study
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.
Source: Journal of Life Economics
DOI: 10.15637/jlecon.2682
Authors: Salman Alam Khan, Aylin Erdoğdu
Institution: Istanbul Arel University
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4408319294
