Research Article
Empowering Small and Medium Enterprises (SMEs) through Multimodal Recommendation Systems using AI
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 186 - Issue 16 |
| Published: April 2024 |
| Authors: Mahima Kansal, Sohit Agarwal, Parag Kansal |
10.5120/ijca2024923551
|
Mahima Kansal, Sohit Agarwal, Parag Kansal . Empowering Small and Medium Enterprises (SMEs) through Multimodal Recommendation Systems using AI. International Journal of Computer Applications. 186, 16 (April 2024), 48-50. DOI=10.5120/ijca2024923551
@article{ 10.5120/ijca2024923551,
author = { Mahima Kansal,Sohit Agarwal,Parag Kansal },
title = { Empowering Small and Medium Enterprises (SMEs) through Multimodal Recommendation Systems using AI },
journal = { International Journal of Computer Applications },
year = { 2024 },
volume = { 186 },
number = { 16 },
pages = { 48-50 },
doi = { 10.5120/ijca2024923551 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2024
%A Mahima Kansal
%A Sohit Agarwal
%A Parag Kansal
%T Empowering Small and Medium Enterprises (SMEs) through Multimodal Recommendation Systems using AI%T
%J International Journal of Computer Applications
%V 186
%N 16
%P 48-50
%R 10.5120/ijca2024923551
%I Foundation of Computer Science (FCS), NY, USA
Abstract
The transformative impact of Artificial Intelligence (AI) on business operations is undeniable, and for Small and Medium Enterprises (SMEs), harnessing the potential of advanced technologies is critical for sustainable growth. This research delves into the implementation and effects of Multimodal Recommendation Systems (MRS) tailored for SMEs, with a particular focus on key metrics such as Cost Savings, Return on Investment (ROI), Customer Retention Rates, and Customer Satisfaction Scores. The study aims to provide a nuanced understanding of how AI-driven recommendations can empower SMEs and contribute to their long-term success.
References
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