Boost E-Commerce Success with Automated Data Pipeline & Analytics

Boost E-Commerce Success with Automated Data Pipeline & AnalyticsBoost E-Commerce Success with Automated Data Pipeline & Analytics

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Mahmoud Ashry

• May 31

Project Title:

E-Commerce Data Pipeline & Inventory Analytics – SmartShop

Project Description:

Developed and deployed an end-to-end automated data ingestion and inventory analytics pipeline tailored for e-commerce platforms. This project bridges the gap between raw data automation and executive decision-making.

Core Business Questions Answered: • Identification of highest-profit generating product categories. • Analysis of monthly revenue and margin trends. • Tracking and ranking top customers by total sales volume.

Core Tech Stack & Tools Used: • Ingestion & Automation: Python (Automation.py), Pandas, Jupyter Notebook • Data Visualization & Outputs: Matplotlib Charts, Cleaned CSV Datasets, Business Reports • Analytics & BI: Power BI Dashboard (Dashboard.pbix) with Interactive Slicers

Key Deliverables & Highlights: • Automated Pipeline: Built robust Python scripts to seamlessly ingest, process, and clean raw sales and inventory CSV data. • Interactive Dashboard: Created an executive Power BI dashboard tracking critical KPIs including Total Revenue, Total Profit, Total Orders, and Average Order Value (AOV). • Granular Insights: Enabled dynamic revenue breakdown by City and Category using interactive date, city, and category slicers to support strategic data-driven business decisions.

Microsoft Power BI Business Workflow Automation Jupyter Python

Naveen kumar Raju

• May 29

🔗 Project Link

https://stitch.withgoogle.com/preview/12109120482087329942?node-id=3b3861a5e20545d1bd89e9a6651a3330&raw=1

📝 What I Built

I built a Cold Lead Reactivation Dashboard designed to help businesses reconnect with inactive leads and bring them back into active conversations. The dashboard uses AI-powered lead scoring, lead activity tracking, and personalized outreach workflows to help sales and marketing teams focus on the opportunities most likely to convert.

📸 Screenshots / Recording

I have uploaded an overview screen recording demonstrating the complete dashboard experience, workflow navigation, and key features. The recording provides a better understanding of the user journey and overall functionality than static screenshots alone.

🛠️ How I Used Stitch

I used Stitch to design and prototype the complete dashboard experience. It helped me quickly create the layout, dashboard structure, workflow visualization, KPI cards, analytics sections, and overall user interface. This allowed me to focus more on the business workflow and user experience while rapidly iterating on different design ideas.

💡 Feedback on Stitch

My experience with Stitch was very positive. It made it easy to turn an idea into a professional dashboard prototype in a short amount of time. The interface is simple to use, and the AI-assisted design process helped generate layouts and components much faster than building everything manually.

One feature I particularly liked was the ability to preview designs across different screen sizes. Being able to switch between Mobile, Tablet, and Desktop views made it much easier to visualize the user experience and ensure the design remained responsive across devices.

Overall, Stitch is a great tool for quickly exploring ideas, creating prototypes, and validating concepts before moving into development.

stitchchallenge Stitch

Denis Turbin

pro

• 1d

Forget good, this is exceptional on every level.

En Zuo

pro

• May 30

Full-Stack SaaS Analytics Dashboard with Next.js, Node.js, and Supabase This is a full-stack SaaS-style analytics dashboard built with React/Next.js on the frontend, Node.js on the backend, and Supabase for database management and backend services. The application includes a modern responsive interface, sidebar navigation, KPI cards, revenue analytics, sales performance views, marketing insights, charts, tables, and business reporting sections.

Tech Stack: React, Next.js, Node.js, Supabase, JavaScript/TypeScript, REST API, responsive UI components, database-driven dashboard architecture, and full-stack web application development. The frontend was developed with a reusable component-based structure to keep the interface clean, scalable, and easy to maintain. The backend uses Node.js to handle API logic, server-side operations, and communication between the application and database. Supabase is used for structured data storage, authentication-ready architecture, and scalable database operations.

Overall, this project demonstrates my experience in building complete full-stack web applications, including frontend UI development, backend API integration, database management, analytics dashboard design, and scalable SaaS application architecture.