AI Model & Data Visualizations
A Study on Small Pizza Restaurants
DOI:
https://doi.org/10.47611/jsrhs.v13i4.8094Keywords:
data visualizations, Artificial Intelligence, forecasting, predictions, AI AnalyticsAbstract
In recent years, data visualizations gained prominence in businesses. Modern visualizations differ from the past because these are created on computers; when equipped with Artificial Intelligence (AI) models, they provide quantitative predictions used to make informed business decisions. Many large corporations rely on these tools, but there is a significant gap within small businesses as they are unable to leverage this powerful tool because of three limiting factors: time, money, and accessibility. Additionally, data visualization is an emerging field with the current body of research focusing on the advantages and disadvantages of data visualization and its incorporation into large corporations, presenting a gap in the literature regarding small businesses. Therefore, the purpose of this study is to create an AI model utilizing data visualizations to help Pizza Restaurant X in the Sacramento area. This tool can be generalized to small pizza restaurants as the fundamental code will remain the same with only some data changing. Further, this research study will contribute to the current body of research by informing how small businesses can incorporate visualizations to make supply chain decisions.
Downloads
References or Bibliography
AWS Editorial Team. (2023).Why small and medium businesses are missing out on the full benefits data can provide. Amazon Web Services. https://aws.amazon.com/blogs/smb/why-small-and-medium-businesses-are-missing-out-on-the-full-benefits-data-can-provide/
Banerjee, P. (2020). ARIMA model for time series forecasting. Kaggle. www.kaggle.com/code/prashant111/arima-model-for-time-series-forecasting
Bobek, E., & Tversky, B. (2016). Creating visual explanations improves learning. Cognitive Research: Principles and Implications, 1(1), 27. https://doi.org/10.1186/s41235-016-0031-6
De Silva, D., & Alahakoon, D. (2022). An artificial intelligence life cycle: From conception to production. Patterns, 3(6), 100489. https://doi.org/10.1016/j.patter.2022.100489
Dubey, R., Gunasekaran, A., Childe, S. J., Bryde, J. D., Giannakis, M., Foropon, C., Roubaud, & D., Hazen, T. B. (2020). Big data analytics and artificial intelligence pathway to operational performance under the effects of entrepreneurial orientation and environmental dynamism: A study of manufacturing organisations. International Journal of Production Economics, 226. https://doi.org/10.1016/j.ijpe.2019.107599
Friendly, M. (2008). A brief history of data visualization. In: Handbook of Data Visualization. Springer Handbooks Comp.Statistics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-33037-0_2
Ioannidis, Y. (2017). Visual representation. Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4899-7993-3_449-2
Kandel, A., & Sharma, S. (2023). Data visualization and its impact in decision making in business. ResearchGate, 1(24). https://doi.org/10.13140/RG.2.2.21906.12483
Marketing Food Online. (2023). Understanding your target market in the food industry. Linkedin. www.linkedin.com/pulse/understanding-your-target-market-food-industry/
NVIDIA. Pandas. NVIDIA. www.nvidia.com/en-us/glossary/pandas-python/
Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Prettenhofer, P., Weiss, R., Dubourg, V., Vanderplas, J., Passos, A., Cournapeau, D., Brucher, M., Perrot, M., & Duchesnay, E. (2011).
Scikit-learn: Machine Learning in Python. Journal of Machine Learning Research, 12. www.jmlr.org/papers/volume12/pedregosa11a/pedregosa11a.pdf
Python. (2019). os — Miscellaneous operating system interfaces — Python 3.8.0 documentation. Python. https://docs.python.org/3/library/os.html
SAS Insights. Big data: What it is and why it matters? https://www.sas.com/en_us/insights/big-data/what-is-big-data.html#industries
Shah, S. (2023). Fact or fiction: 5 common downfalls of data visualizations. Business. https://www.business.com/articles/data-visualization-downfalls/
State of California Department of Justice. (2024). California consumer privacy act (CCPA). State of California Department of Justice Office of the Attorney General. https://oag.ca.gov/privacy/ccpa
Tableau. What is data visualization? Definition, examples, and learning resources. www.tableau.com/learn/articles/data-visualization
The University of Pennsylvania, College of Liberal Arts and Professional Studies. (2022). 5 key reasons why data analytics is important to business. Penn LPS. https://lpsonline.sas.upenn.edu/features/5-key-reasons-why-data-analytics-important-business
Unwin, A. (2020). Why is data visualization important? What is important in data visualization? Harvard Data Science Review, 2(1). https://doi.org/10.1162/99608f92.8ae4d525
Yellowfin. (2023). 7 Key benefits of data visualization tools. www.yellowfinbi.com/blog/benefits-of-data-visualization-tools
Published
How to Cite
Issue
Section
Copyright (c) 2024 Harshitha Sheshala; Ethan Eldridge
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Copyright holder(s) granted JSR a perpetual, non-exclusive license to distriute & display this article.
