Online Academic Journal of Information Technology (Aug 2024)

Analyzing & Predicting Black Friday Sales of a Retailer

  • Fatma Dilan Öncevarlık Yıldız,
  • Aşkın Demirağ

DOI
https://doi.org/10.5824/ajite.2024.03.001.x
Journal volume & issue
Vol. 15, no. 3
pp. 195 – 214

Abstract

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In this project, a retail store's Black Friday sales from prior years were examined, and sales projections for the next years were made using this information.A few demographic details and consumer basket amounts are among the data examined for this research. Correlations were found using the data that was examined for the study. Stores can identify their Black Friday sales strategy and use this knowledge to increase sales by evaluating the relationships between demographic data about their clients and their shopping behaviors.The artificial intelligence-supported forecasting model created as part of the research was trained using the same data, and sales projections for the upcoming years were computed. The consistency rate of the system was evaluated by comparing the sales data of the same retail store to the system that was trained using past sales data.

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