Walmart SellerHub is a prototype seller dashboard and analytics platform built for the Walmart Sparkathon, aimed at enhancing retail supply chain visibility and seller operations through AI-driven insights, product optimization tools, and visibility predictions.
🎥 Demo Video
📊 Pitch Deck / PPT (Canva)
🌐 Live Demo (Deployed Link)
Developed as a submission for Walmart Sparkathon 2025, this project introduces innovative solutions to improve seller productivity, listing performance, and order fulfillment using AI, data visualization, and ML models.
- Interactive dashboard with simulated key metrics: revenue, orders, and trends
- Built using hardcoded sample data to demonstrate UI/UX flow and potential business insights
- Delivery Map: Leaflet-based simulated delivery locations
- Warehouse Logic: Detects nearest warehouse (e.g., Noida) using basic geo-calculations
- Route Optimization:
- Shows estimated distance, delivery time, and charges
- Example: ₹163 for 31.57 km
Integrated Gemini-powered assistant to help sellers:
- Optimize product titles and descriptions
- Generate keywords and SEO strategies
- Analyze competitors and sales strategy
- Voice input support and multilingual output
- Uses a Random Forest model to predict listing visibility
- Input: title, price stability, stock status, pincodes, etc.
- Output: visibility score based on Polaris-like logic
- React.js, JavaScript (ES6+), CSS3
- Chart.js / Recharts (visualizations)
- Leaflet / OpenStreetMap (maps)
- Gemini API (AI assistant)
- Python (Flask/FastAPI) for ML endpoint
- Trained Random Forest model for visibility predictions
- 📈 Sample-based data for dashboard & analytics
- 🗺️ Interactive map for delivery tracking
- 🧠 AI Assistant for boosting product content
- 🔍 ML predictions for product visibility
- ⚛️ Modular React architecture for scalability
git clone https://github.com/sanyxmm/Walmart-SellerHub.git
cd Walmart-SellerHub