Empower e-commerce success with actionable insights from your sales data.

See our dashboard in action!

Welcome to our E-Commerce Sales Dashboard! This project is designed to empower e-commerce clothing store managers with a powerful tool to analyze the sales performance. Built by a data science consultancy firm, this dashboard transforms raw sales data into actionable insights for smarter decision-making.

Running an e-commerce clothing store comes with unique challenges: managing a wide variety of product SKUs, keeping up with fast-changing fashion trends, and making sense of massive sales datasets. For store managers, understanding whether sales align with market demand or if adjustments to inventory and marketing are needed can feel overwhelming.

That’s where the E-Commerce Sales Dashboard steps in. Our goal is to simplify data analysis by providing a clear, interactive view of sales performance and regional trends. Whether you're tracking revenue, comparing fulfillment methods, or identifying top-performing regions, this dashboard helps you stay ahead in the competitive world of e-commerce.

This dashboard is built for e-commerce clothing store managers running online stores in India. With it, you can:

• Explore Sales Trends: Visualize how sales fluctuate over time and spot patterns.

• Compare Regions: See which states or regions drive the most revenue and pinpoint areas with lower sales.

• Identify Top Products: Discover the best-selling products in each region.

• Analyze Fulfillment: Compare Amazon Fulfilled vs. Merchant Fulfilled orders to optimize logistics.

• Understand Promotions: Assess how discounts impact sales performance.

What are you waiting for? Try our dashboard here!

If you’re an e-commerce professional in India, this tool is for you! Whether you’re managing inventory, refining marketing strategies, or negotiating with delivery partners, the dashboard provides a high-level overview of your sales data to support data-driven decisions. No technical expertise required—just dive in and explore!

Need Help? If you have questions or run into issues, feel free to open an issue and label it as "help wanted" on this repository. We’re here to assist!

Interested in running the dashboard locally or contributing to its development? We’d love your help! This project is built with a passion for data science and e-commerce, and we welcome contributors who want to enhance its features or adapt it for other datasets. Keep reading for setup instructions and contribution details!

Want to run the dashboard on your machine? Follow these steps:

• Python 3.11+
• git

1. Clone the Repository:

git clone https://github.com/UBC-MDS/DSCI-532_2025_29_e-commerce-dashboard.git
cd e-commerce-sales-dashboard

2. Install Dependencies:

For users without conda:

pip install -r requirements.txt

For conda users:

1. Create conda environment

conda env create -n e-commerce-dashboard -f environment.yml

2. Activate conda environment

conda activate e-commerce-dashboard

If the environment already exists and you want to update it:

conda env update -n e-commerce-dashboard -f environment.yml

3. Run the App:

python -m src.app

Navigate to http://127.0.0.1:8050/ (or the specified port) in your browser to see the dashboard.

We’d love for you to contribute to this project! Whether it’s adding new features, improving visualizations, or fixing bugs, your input is valuable. Check out our CONTRIBUTING.md file for guidelines on how to get started.

Encountered a problem or have a question? Please open an issue on this repository, and we’ll get back to you as soon as possible.

Jenson Chang, Shashank Hosahalli Shivamurthy, Sienko Ikhabi, Yajing Liu

This project is dual-licensed:

• Source code: MIT License
• Reports in reports/ and Images in img/: Creative Commons Attribution 4.0 International (CC BY 4.0)

See LICENSE.md for details.