International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 8, Issue 3 (May-June 2026) Submit your research before last 3 days of June to publish your research paper in the issue of May-June.
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Volume 8 Issue 3
May-June 2026

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Predicting Stock Requirement in Organised Retail (A Case Study of DMart)

Author(s) chaithra R P, Lavanya GR
Country India
Abstract ABSTRACT
The organised retail sector in India has witnessed unprecedented growth over the past two decades, with hypermarket chains like DMart (Avenue Supermarts Ltd.) emerging as dominant players through superior supply chain efficiency and cost leadership. Accurate stock requirement prediction remains a critical determinant of profitability, customer satisfaction, and operational efficiency in this capital-intensive industry. This paper examines the methodologies, frameworks, and challenges associated with stock prediction at DMart, using secondary data sourced from published annual reports, academic literature, industry databases, and institutional research. The study analyses DMart's proprietary EDLC-EDLP (Every Day Low Cost – Every Day Low Price) model, its vendor-managed inventory arrangements, and seasonal demand patterns across product categories. The paper discusses quantitative tools including Economic Order Quantity (EOQ), ABC–VED analysis, Moving Average and Exponential Smoothing models, and emerging AI-driven demand forecasting approaches. Findings indicate that DMart's stock prediction advantage stems from a combination of centralised procurement, data-driven reorder policies, stringent shrinkage controls, and long-term supplier relationships. The study contributes to management literature by synthesising best practices applicable to organised retail in emerging markets and offers strategic recommendations for improving forecast accuracy. This research is intended for academic publication at the postgraduate MBA level.
Field Sociology > Data / Information / Statistics
Published In Volume 8, Issue 3, May-June 2026
Published On 2026-05-26
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E-ISSN 2582-2160
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