shopwise real time price optimizer for e commerce seller

As an electronics and telecommunication engineering student with growing interest in tech and business, I was curious about how big e-commerce companies like Amazon use advanced tools like dynamic pricing and credit scoring to stay competitive. I realized small sellers lack access to such tools—and that inspired me to create something meaningful for them. I wanted to bridge the gap between tech-powered optimization and small business challenges.

🧠 What I learned from this project:

How real-world businesses use machine learning to make decisions

Working with APIs, web scraping, and integrating real-time data into a dashboard

Basics of pricing algorithms, credit risk models, and sentiment analysis

Managing a full-stack project end-to-end

How to make the UI useful and simple for non-tech users (business owners)

🛠️ How I plan to build this project:

Use Python (FastAPI) for backend and React.js for frontend

Apply ML models to analyze data (e.g. Scikit-learn for pricing or XGBoost for credit risk)

Use web scraping tools (like BeautifulSoup) to fetch competitor prices

Integrate external data sources like Google Trends, reviews, and payment APIs

Host it using Vercel or Render

Use dummy product listings and simulate buyer behavior

⚠️ Challenges I faced:

Finding reliable and legal ways to get competitor price data

Balancing technical complexity with business usefulness

Designing a clean and understandable UI for non-tech users

Handling noisy or incomplete data from scraping or user inputs

Managing time and dividing tasks efficiently in the hackathon timeframe

Built With

• javascript
• python
• react.js
• vs