ISSN2320-2882
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Paper Title
Impact of AI on Demand Forecasting and Inventory Management in Business-to-Consumer Industries
Authors
Spandana Singamsetty , Anjali Movva , Debajyoti Bose
Keywords
Artificial Intelligence, Inventory management, Demand Forecasting, B2C Operations, Supply Chain Management
Abstract
The objective of this paper is to examine how Artificial Intelligence (AI)-driven demand forecasting and inventory management influence operational job roles, decision-making, and collaboration in Business-to-Consumer (B2C) industries. B2C operations customarily focused on consumer intimacy and efficient supply chain execution; today B2C operations require AI-based demand forecasting and inventory optimization to respond to the market in real-time. Using comparative qualitative research on secondary material and case studies across companies in pharmaceuticals, e-commerce, FMCG and retail, the paper examines such operational changes. Literature shows that AI can improve forecast accuracy, minimize stockouts and shift operational tasks from manual forecasting to interpretation of algorithmic output. Case studies of Novartis, Amazon, Unilever and Walmart demonstrate the effectiveness of AI in optimizing demand forecasting and inventory management despite difficulties such as data integration, compatibility with legacy systems and suspicion by managerial teams. The overall trend highlights a shift towards automated, AI-based forecasting with human control, showing that successful AI integration requires attention to technical, cultural and organizational issues to achieve sustainable value in a changing B2C environment.
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IJCRT — journal style
"Impact of AI on Demand Forecasting and Inventory Management in Business-to-Consumer Industries", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.14, Issue 2, page no.f580-f601, February 2026, Available :https://ijcrt.org/papers/IJCRT2602647.pdf
APA — 7th edition
Singamsetty, S., Movva, A., & Bose, D. (2026). Impact of AI on Demand Forecasting and Inventory Management in Business-to-Consumer Industries. International Journal of Creative Research Thoughts, 14(2), f580-f601. https://doi.org/10.56975/ijcrt.v14i2.301839
MLA — 9th edition
Singamsetty, Spandana, et al. "Impact of AI on Demand Forecasting and Inventory Management in Business-to-Consumer Industries." International Journal of Creative Research Thoughts, vol. 14, no. 2, 2026, pp. f580-f601, https://doi.org/10.56975/ijcrt.v14i2.301839.
Chicago — 17th, bibliography
Singamsetty, Spandana, Anjali Movva, and Debajyoti Bose. "Impact of AI on Demand Forecasting and Inventory Management in Business-to-Consumer Industries." International Journal of Creative Research Thoughts 14, no. 2 (2026): f580-f601. https://doi.org/10.56975/ijcrt.v14i2.301839.
Harvard — author–date
Singamsetty, S., Movva, A. and Bose, D. (2026) 'Impact of AI on Demand Forecasting and Inventory Management in Business-to-Consumer Industries', International Journal of Creative Research Thoughts, 14(2), pp. f580-f601. Available at: https://doi.org/10.56975/ijcrt.v14i2.301839
IEEE — numbered reference
S. Singamsetty, A. Movva and D. Bose, "Impact of AI on Demand Forecasting and Inventory Management in Business-to-Consumer Industries," IJCRT, vol. 14, no. 2, pp. f580-f601, Feb. 2026, doi: 10.56975/ijcrt.v14i2.301839.
Vancouver — biomedical
Singamsetty S, Movva A, Bose D. Impact of AI on Demand Forecasting and Inventory Management in Business-to-Consumer Industries. IJCRT. 2026 Feb;14(2):f580-f601. doi: 10.56975/ijcrt.v14i2.301839
AMA — 11th edition
Singamsetty S, Movva A, Bose D. Impact of AI on Demand Forecasting and Inventory Management in Business-to-Consumer Industries. IJCRT. 2026;14(2):f580-f601. doi:10.56975/ijcrt.v14i2.301839
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRT2602647,
author = {Spandana Singamsetty and Anjali Movva and Debajyoti Bose},
title = {Impact of AI on Demand Forecasting and Inventory Management in Business-to-Consumer Industries},
journal = {International Journal of Creative Research Thoughts},
volume = {14},
number = {2},
pages = {f580-f601},
year = {2026},
month = {February},
issn = {2320-2882},
doi = {10.56975/ijcrt.v14i2.301839},
url = {https://doi.org/10.56975/ijcrt.v14i2.301839}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - Singamsetty, Spandana
AU - Movva, Anjali
AU - Bose, Debajyoti
TI - Impact of AI on Demand Forecasting and Inventory Management in Business-to-Consumer Industries
T2 - International Journal of Creative Research Thoughts
JA - IJCRT
VL - 14
IS - 2
PY - 2026
SN - 2320-2882
DO - 10.56975/ijcrt.v14i2.301839
UR - https://doi.org/10.56975/ijcrt.v14i2.301839
SP - f580-f601
ER -
Issue
Volume 14 Issue 2,
February-2026
Pages : f580-f601
Article Information
- Published In
- International Journal of Creative Research Thoughts — Volume 14, Issue 2, February 2026
- Pages
- f580-f601
- Published
- February 2026
- Registration ID
- IJCRT_301839
- Published Paper ID
- IJCRT2602647
- Research Area
- Management All
- Author Type
- Indian Author
- Location
- Chittoor, Andhra Pradesh, India
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- Request Peer Review Report
- Licence
- CC BY 4.0 · Open Access
- ISSN & Impact Factor
- 2320-2882 · IF 9.17
- Downloads
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- Published Paper PDF
- https://ijcrt.org/papers/IJCRT2602647.pdf
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International Journal of Creative Research Thoughts
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2320-2882
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