The Role of Adaptive AI in Commodity Dynamics across India’s Quick-Commerce Sector.

Tracy Joan Reid

doi:10.69968/ijisem.2026v5Si123-29

Authors

Tracy Joan Reid Assistant Professor, Department of Commerce, Xavier's University Patna.

DOI:

https://doi.org/10.69968/ijisem.2026v5Si123-29

Keywords:

Q-Commerce, Adaptive AI, Commodity dynamics, VUCA

Abstract

In the Contemporary times, the global economy is experiencing a VUCA (Volatile, Uncertain, Complex and Ambiguous) Environment. (Bennett, N., & Lemoine, G. J. 2014). Quick Commerce Platforms in India such as Blinket, Zepto and Instamart operate in this ecosystem which demands precise inventory management, strategic planning and real-time accurate pricing.

Commodities like fruits, vegetables, dairy etc face continuous price fluctuation, driven by various factors including climate, demand and supply, seasonal changes, supply chain disruption and global market influences. Traditional Business frameworks often struggle to keep pace with the rapid changes, making forecasting and decision making extremely challenging for businesses to survive. (Chakraborty & Kumar, 2021)

On the other hand, among the various types of static AI, Adaptive Artificial Intelligence has emerged as a game changer. Even though, the rise of Machine Learning and Big Data technology during 2000’s for training AI systems with vast amount of data, self-learning algorithms drew attention of many commercial companies in the past few years. (Marthis, 2024). The concept of Adaptive AI became widely recognised in the recent times, due to its ability to continuously learn and evolve recommendations and responses in real-time, based on emerging patterns in dynamic business conditions. Therefore, moving beyond fixed algorithms. It can enable Q-Commerce Platforms to maintain flexibility, competitiveness and resilience in the modern business paradigm.

This paper attempts to analyse the price fluctuations in key commodities in India and seeks to analyse the availability of commodities on Q-Commerce Platforms. Lastly, the paper also aims to understand the role of Adaptive AI in helping Q-Commerce platforms maintain competitiveness.

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