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This document delves into an exploratory data analysis (EDA) of e-commerce dataset of a multi category store, uncovering critical insights into customer behavior and pricing strategies. These findings will drive informed decision-making and strategic enhancements.

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You can find the source code for this project on my repo

Abstract

Welcome to the EDA Docs for Ecommerce Analysis! This documentation is divided into several sections, each providing in-depth insights into various aspects of ecommerce data analysis. In the Categories and Items section, we explore the major categories and items within each category, helping you understand the product landscape. The Prices and Brands section analyzes the major players in the market, customer preferences, and the highest-priced products in each brand, providing insights into pricing strategies and brand performance.

The remaining sections delve deeper into specific aspects of ecommerce analysis. The Time Distribution Analysis section examines the times when customer interactions occur, while the Brand Analysis Extended section analyzes how brands perform over time using time series factors. The Requested Items Analysis section focuses on a specific set of items requested by stakeholders, providing detailed insights into their performance. Finally, the Customer Segmentation Model section presents an RFM (Recency, Frequency, Monetary) model used to segment customers based on their behavior, enabling targeted marketing efforts and improved customer satisfaction.

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