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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM38999

AI based Sales Forecasting

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM38999

Volume:

8 |

11 |

Nov 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

PJG

Prof. Jitendra Gaikwad

AJ

Atharva Jadhav

MJ

Makarand Jagadale

SJ

Shreyash Jagtap

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Abstract

This research paper explores the efficacy of Artificial Intelligence (AI) in enhancing sales forecasting accuracy. Leveraging regression analysis and machine learning algorithms, the proposed AI-based Sales Forecasting system offers real-time predictions tailored to various product and outlet characteristics. The system’s interactive dashboard facilitates seamless data input and visualization, empowering businesses to make informed decisions quickly. With an integrated API for easy integration into existing systems, the solution enhances operational efficiency and enables data-driven decision-making. This study underscores the importance of AI in revolutionizing retail forecasting and its potential to drive business growth in dynamic market landscapes.

KEYWORDS

Artificial Intelligence (AI) Sales Forecasting Regression Analysis Machine Learning Data-driven Decision-making

Cite This Article

Prof. Jitendra Gaikwad, Atharva Jadhav, Makarand Jagadale, Shreyash Jagtap, "AI based Sales Forecasting," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 11, Nov 2024.

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Publication Date

11/22/2024

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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