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Project overview and objectives

E-commerce platforms face numerous challenges in optimizing their operations, understanding customer behavior, and maximizing profitability. This project aims to leverage data analysis techniques to gain insights into various aspects of an e-commerce business, including sales trends, customer segmentation, inventory management, and pricing strategies.

The goal is to develop a comprehensive analysis framework that can help e-commerce businesses make data-driven decisions to improve their performance, enhance customer satisfaction, and increase revenue.

Team members and their roles

Subgroup A

• Yap Yi Pin
• Celeste Neo Leng San
• Choah Yi Lin

Subgroup B

• Noel Teo Yu Hong
• Kwok Zhi Wei
• Chua Kah Suan

Bonus Questions:

1. What is the potential of using natural language processing to analyze customer reviews and feedback?
2. Intelligent Customer Review Analysis using an LLM-driven feature.

• Chua Yong Yaw Louis
• Joshua Ng

Quick links to key sections

The relevant file for subgroup A are in: Customer Behaviour

The relevant file for subgroup B are in: Inventory Management

The relevant file for bonus opportunities are in: Customer Review Analysis

The dataset is stored in Google Drive