Rinky Bhadra 1 , Ratan Gachhui 1
1 Department of Life science & Biotechnology, Jadavpur University, Kolkata-700032, West Bengal, India
*Corresponding author: Rinky Bhadra
E-mail: rinkybhadra99@gmail.com
Issue: Volume 2 No. 2 (June 2026) Anubodhan
Received: 22 May 2026 / Accepted: 28 May 2026 / Published online: 4 June 2026
DOI: https://doi.org/10.65885/anubodhan.v2n2.2026.057
Abstract
Artificial intelligence has emerged as a transformative technology in the food industry, particularly through product development, quality assurance, and personalisation of consumers. As the need to increase innovative, safe, and personalised food products rises, AI has emerged as an essential means of solving the complexities of contemporary food systems. In this paper, the researcher discusses how AI has been used in the food product development process of small-scale businesses and large-scale industries and how technological advancements are forming new trends in the traditional practices.
Machine learning, predictive analytics, natural language processing, and computer vision, as parts of AI-based tools, are quite important to improve decision-making processes. They can be used to analyse big data on consumer preferences, ingredient properties, and market trends, which will help in the creation of new food products. AI also facilitates virtual experimentation by removing the need to use time-consuming and expensive physical experiments and making the development cycle more efficient overall.
The review also evaluates the role of AI in maximising resources, minimising food waste, and enhancing supply chain management, all of which help in sustaining the supply chain. At both small and large scales, AI can be used to make better predictions and manage stock and quality, which are needed to guarantee consistency and adherence to regulations. Besides, AI-based personalisation can enable businesses to adjust products to the individual demand of consumers, including dietary limitations and health allergies. Although AI has many benefits, the introduction of the technology into the food industry is not immune to negative aspects. High implementation costs, worries over data privacy, and untechnical natures, as well as infrastructural constraints, especially impact small-scale enterprises. This study assesses these challenges critically and further projection of the future on AI integration in the development of food products. This research highlights that AI becomes increasingly significant as a strategic instrument to help organisations become more competitive, innovative, and adaptable to changing consumer demands, especially in a dynamic international market.
Keywords: Artificial Intelligence, Food Product Development, Computer Vision, Food Large-scale Manufacturing, Food Innovation.
How to cite: Bhadra, R., & Gachhui, R. (2026). Application of Artificial Intelligence in Food Product Development in Small and Large Scale: A Review. Anubodhan, 2(2), 41–49. https://doi.org/10.65885/anubodhan.v2n2.2026.057