ISSN2320-2882
Impact Factor9.17
UGC ParametersAligned
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CrossRefDOI
ESTD2013
Peer ReviewTransparent
AccessOpen
Submission: Always Open
Paper Title
THE ROLE OF AI IN ENHANCING DEMAND FORECASTING ACCURACY IN RETAIL SUPPLY CHAIN.
Authors
Dharani.S , Hemapriya.JM
Keywords
Keywords: Artificial Intelligence, Demand Forecasting, Retail Supply Chain, Machine Learning, Deep Learning, Inventory Optimization, Predictive Analytics
Abstract
Abstract
Accurate demand forecasting is the backbone of an efficient retail supply chain. Traditional methods, such as moving averages and linear regression, often fail to navigate the complexities of modern consumer behavior, characterized by rapid trend shifts and external disruptions. This study explores the transformative role of Artificial Intelligence (AI) in bridging this gap. By utilizing machine learning and deep learning, AI can process massive datasets including social media trends, weather patterns, and economic shifts to predict demand with unprecedented precision. The research highlights how AI-driven insights lead to optimized inventory levels, a significant reduction in stock-outs, and improved overall responsiveness. However, the study also notes that the transition to AI is not without hurdles; issues regarding data quality, high implementation costs, and the need for organizational cultural shifts remain prevalent. Ultimately, the findings suggest that while AI is a powerful tool for competitive advantage, its success depends on a balanced integration of technology and human expertise.
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IJCRT — journal style
"THE ROLE OF AI IN ENHANCING DEMAND FORECASTING ACCURACY IN RETAIL SUPPLY CHAIN.", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.14, Issue 1, page no.b30-b36, January 2026, Available :https://ijcrt.org/papers/IJCRT2601122.pdf
APA — 7th edition
Dharani.S, & Hemapriya.JM. (2026). THE ROLE OF AI IN ENHANCING DEMAND FORECASTING ACCURACY IN RETAIL SUPPLY CHAIN. International Journal of Creative Research Thoughts, 14(1), b30-b36. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2601122
MLA — 9th edition
Dharani.S, and Hemapriya.JM. "THE ROLE OF AI IN ENHANCING DEMAND FORECASTING ACCURACY IN RETAIL SUPPLY CHAIN." International Journal of Creative Research Thoughts, vol. 14, no. 1, 2026, pp. b30-b36, https://ijcrt.org/viewpaperforall.php?paper=IJCRT2601122.
Chicago — 17th, bibliography
Dharani.S, and Hemapriya.JM. "THE ROLE OF AI IN ENHANCING DEMAND FORECASTING ACCURACY IN RETAIL SUPPLY CHAIN." International Journal of Creative Research Thoughts 14, no. 1 (2026): b30-b36. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2601122.
Harvard — author–date
Dharani.S and Hemapriya.JM (2026) 'THE ROLE OF AI IN ENHANCING DEMAND FORECASTING ACCURACY IN RETAIL SUPPLY CHAIN', International Journal of Creative Research Thoughts, 14(1), pp. b30-b36. Available at: https://ijcrt.org/viewpaperforall.php?paper=IJCRT2601122
IEEE — numbered reference
Dharani.S and Hemapriya.JM, "THE ROLE OF AI IN ENHANCING DEMAND FORECASTING ACCURACY IN RETAIL SUPPLY CHAIN," IJCRT, vol. 14, no. 1, pp. b30-b36, Jan. 2026.
Vancouver — biomedical
Dharani.S, Hemapriya.JM. THE ROLE OF AI IN ENHANCING DEMAND FORECASTING ACCURACY IN RETAIL SUPPLY CHAIN. IJCRT. 2026 Jan;14(1):b30-b36.
AMA — 11th edition
Dharani.S, Hemapriya.JM. THE ROLE OF AI IN ENHANCING DEMAND FORECASTING ACCURACY IN RETAIL SUPPLY CHAIN. IJCRT. 2026;14(1):b30-b36. Accessed at https://ijcrt.org/viewpaperforall.php?paper=IJCRT2601122
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRT2601122,
author = {Dharani.S and Hemapriya.JM},
title = {THE ROLE OF AI IN ENHANCING DEMAND FORECASTING ACCURACY IN RETAIL SUPPLY CHAIN.},
journal = {International Journal of Creative Research Thoughts},
volume = {14},
number = {1},
pages = {b30-b36},
year = {2026},
month = {January},
issn = {2320-2882},
url = {https://ijcrt.org/viewpaperforall.php?paper=IJCRT2601122}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - Dharani.S
AU - Hemapriya.JM
TI - THE ROLE OF AI IN ENHANCING DEMAND FORECASTING ACCURACY IN RETAIL SUPPLY CHAIN.
T2 - International Journal of Creative Research Thoughts
JA - IJCRT
VL - 14
IS - 1
PY - 2026
SN - 2320-2882
UR - https://ijcrt.org/viewpaperforall.php?paper=IJCRT2601122
SP - b30-b36
ER -
Issue
Volume 14 Issue 1,
January-2026
Pages : b30-b36
Article Information
- Pages
- b30-b36
- Published
- January 2026
- Registration ID
- IJCRT_299925
- Published Paper ID
- IJCRT2601122
- Research Area
- Commerce and Management, MBA All Branch
- Author Type
- Indian Author
- Location
- Udumalpet, TamilNadu, India
- Peer Review
- Request Peer Review Report
- Licence
- CC BY 4.0 · Open Access
- ISSN & Impact Factor
- 2320-2882 · IF 9.17
- Downloads
- 253
- Permanent Link
- https://ijcrt.org/viewpaperforall.php?paper=IJCRT2601122
- Published Paper PDF
- https://ijcrt.org/papers/IJCRT2601122.pdf
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