-
Notifications
You must be signed in to change notification settings - Fork 0
Home
Yi Pin edited this page Nov 12, 2024
·
20 revisions
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.
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
- Chua Yong Yaw Louis
- Joshua Ng
The relevant file for subgroup A are in: Customer Behaviour
The relevant file for subgroup B are in: Inventory Management
The dataset is stored in Google Drive