Author(s) :   Govinda Heda¹, Prof. (Dr.) V. B. Singh²

Abstract : Perishable goods, such as fresh produce, dairy, and pharmaceuticals, present unique inventory challenges due to their short shelf lives and vulnerability to external conditions. Leveraging big data, predictive analytics offers a promising way to enhance demand forecasting, helping businesses optimize stock and cut waste. This qualitative study investigates how predictive analytics is adopted in India's perishable goods sector, drawing from stakeholder experiences in urban retail, rural agriculture, and pharmaceutical distribution. Using interviews, observations, and thematic analysis conducted across Delhi, Gujarat, and Bengaluru in 2024, we reveal key themes like empowerment, cultural fit, trust, and sustainability alongside hurdles such as technology literacy and infrastructure gaps. This research provides a human-centered lens on predictive analytics, offering insights for practitioners and policymakers aiming to build inclusive, sustainable supply chains in India's dynamic markets.

Keywords: big data analytics, ethical concerns, social implications.

DOI : 10.61161/ijarcsms.v13i4.2

Pages : 7-14

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