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In this paper, we analysed the data sets of world’s largest retailers, Walmart Store to determine the business drivers and predict which departments are affected by the different scenarios (such...
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1 Ιουλ 2023 · This data analysis project delves into the vast dataset of one of the world's largest retail giants, Walmart, to uncover valuable insights and trends within its operations.
12 Δεκ 2017 · This paper investigates forecasting sales for a Big Mart, with four machine learning algorithms (Random Forest, Linear Regression, Decision Tree and XG Booster Algorithms), and shows that the Random Forest algorithm performs better than the other two models.
25 Ιουν 2024 · This article presents a comprehensive study of sales predictions using time series analysis, focusing on a case study of Walmart sales data. The aim of this study is to evaluate the...
We are analysing Walmart's sales data to identify high-performing branches and products, analyze the sales patterns of various products, and understand customer behavior. The primary objective is to enhance and optimize sales strategies.
In this paper, we analysed the data sets of world’s largest retailers, Walmart Store to determine the business drivers and predict which departments are affected by the different scenarios (such as temperature, fuel price and holidays) and their impact on sales at stores’ of different locations.
23 Ιουλ 2021 · Walmart uses Big Data in practice. The Data Café allows huge volumes of internal and external data, including 40 petabytes of recent transactional data, to be rapidly modelled, manipulated and visualised.