CONSUMER AWARENESS REGARDING MILLET PRODUCTS IN HARYANA: AN AI DRIVEN APPROACH
ABSTRACT The growing demand for sustainable and healthy food options has made millets a popular food alternative to traditional cereals. Despite its environmental and nutritional benefits, the general acceptance of millets by consumers is still inconsistent. Using state-of-the-art artificial intelligence (AI) tools, this study aims to explore and identify the key elements influencing consumers' perceptions of small grains. To provide a theoretical framework and uncover relevant factors influencing customer perceptions, a comprehensive analysis of the body of research on food preferences, consumer behavior, and use of millet-based products was conducted. In the empirical phase, an extensive dataset was collected, which included customer reviews, product ratings, and opinions about millet-based products from various online sources such as social media and e-commerce websites. This unstructured textual data has been analyzed using (AI) tools AI-based Grain Quality Check, Machine Learning for Quality Assessment, streamline procurement processes, improve market access, support sustainable agriculture tools have been captured through AI-powered research, to derive valuable insights and identify trends in customer sentiment. Influential factors such as taste, texture, pricing, health benefits, brand perception and product availability. These results shed light on the key factors influencing consumer perception of small grains, and provide useful knowledge for food industry players such as marketers, product developers and legislators. In a competitive market, these results will help guide focused strategies to increase consumer awareness, acceptance and demand for millet-based products. Keywords: Sustainability, Artificial Intelligence, Millets, Consumer awareness
Institutions
- Maharishi Markandeshwar University, Mullana (IN)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-06-12
- DOI
- https://doi.org/10.5281/zenodo.15646724
- Primary Topic
- Food Waste Reduction and Sustainability
- Type
- article
- Field-Weighted Citation Impact
- 0.00