Walmart IntelliFlow is an advanced, admin-focused supply chain optimization dashboard built for Walmart’s operations team. This solution dynamically monitors, predicts, and routes product inventory based on live warehouse data, AI-driven demand forecasts, real-time climate events, and global shipment conditions.
Developed for Walmart Sparkathon 2025, this intelligent platform empowers Walmart to forecast demand, prevent delivery disruptions, and manage warehouse inventory in real-time across India. It also enables efficient tracking and coordination of shipments across all transportation modes.
Note:- The Vercel Website server is not running now because of the use of the FlaskAPI App, and this API is the development API, not the Production.
- Predicts demand using time-series order data, customer history, and external indicators.
- Automatically generates a list of items to restock based on population-level demand around each warehouse.
- Integrates Google Maps API + OpenWeatherMap API to monitor conditions during product shipment.
- Reroutes incoming goods from ship/air based on real-time climate threats (e.g. monsoon, storms).
- Selects nearest best-suited warehouse if default warehouse is blocked.
- Detects upcoming festivals and seasons using prebuilt datasets and adjusts restocking priority.
- Dynamically forecasts items in demand based on festival calendar + previous seasonal patterns.
- Evaluates stock vs. predicted demand at every warehouse.
- Triggers auto-generation of purchase orders for admins to approve or modify.
- Visualize shipment paths, delivery delays, and rerouting plans on a map.
- See dynamic restock suggestions for each warehouse with reasons and filters applied.
- Includes 4 demand filters:
- No Filter
- Season-based Filter
- Festival-based Filter
- Customer History-based Filter
- Tracks shipments via:
-🚢 Ship
-
✈️ Airplane -🚛 Truck - Displays: ETA, Origin/Destination
- Status: In Transit, Loading, Delayed, Delivered
- Priority: Low, Medium, High, Critical
- Shipment rerouting based on real-time weather alerts
- Test new warehouse placement or closure.
- Run delivery simulations for upcoming sales/festivals.
- View impact on margins, carbon footprint, and delivery times.
- Ask warehouse-level questions like:
- “What is the most demanded item this week in Mumbai?”
- “Why was the shipment to Hyderabad rerouted?”
- “Which warehouse has overstock on electronics?”
| Layer | Technology |
|---|---|
| Frontend | React.js, TailwindCSS, Leaflet/Mapbox |
| Backend | Node.js + Express.js, Flask (optional ML) |
| AI/ML | scikit-learn, Prophet, TensorFlow, Pandas |
| APIs | Google Maps API, OpenWeatherMap API, Holiday Calendar |
| Database | MongoDB or Firebase |
| Dev Tools | GitHub, Vercel, Postman |
# 1. Clone the repository
[git clone https://github.com/deepakm0003/walmart-intelliflow.git]
# 2. Install frontend dependencies
cd project
npm install
# 3. Install backend dependencies (optional Flask APIs)
pip install -r requirements.txt
python -m pip install flask flask-cors OR pip install flask flask-cors
# 4. Run frontend and backend
npm start # Frontend
python main.py # Backend (For ML API used)
node server/index.js -- To run the server of the Shipment and the Admin Action Dashboard and update it.
- Blockchain traceability for shipment validation
- Satellite data + drone integration for rural warehouse visibility
- IoT integration for temperature monitoring in transit
- AI-powered supplier scoring and adaptive lead time adjustment
Walmart Sparkathon 2025
Team: Admin AI Optimization Squad
Track: Smart Supply Chain & Logistics
© 2025 Walmart IntelliFlow — Smart Warehousing, Smarter Decisions.