Modern warehouses are massive (million+ sq ft) and managing movable assets like forklifts, pallet jacks, and diagnostic tools becomes extremely difficult.
Workers spend significant time simply searching for equipment, leading to:
- productivity loss
- idle assets
- congestion
- duplicate purchases
- higher operational cost
Since GPS doesnβt work indoors, traditional tracking solutions fail.
In large logistics centers used by companies like Amazon, Flipkart, and DHL, there is:
β No real-time indoor asset visibility β Time wasted locating forklifts/tools β Equipment underutilization β Warehouse congestion β Safety risks
We built an AI-powered Indoor Asset Tracking + Optimization Dashboard that:
β tracks assets in real-time β detects idle equipment β shows congestion heatmaps β suggests smart reallocation β provides analytics for managers
π Not just tracking β optimization
- live position updates
- indoor compatible (BLE/UWB/RFID simulation)
- instant asset search
- red = congested zones
- green = free zones
- helps traffic planning
- click asset β shortest path highlighted
- helps workers reach faster
Displays:
- active %
- idle %
- busiest zones
- congestion alerts
- idle alerts
- sound notifications
System suggests:
- move assets between zones
- reassign idle forklifts
- reduce crowding
Example: Zone A overloaded β recommend move to Zone C
IoT Tags (BLE/UWB/RFID) β Gateway / Receiver β Server Processing β Optimization Engine (AI Logic) β Dashboard ( Analytics)
Frontend:
- HTML
- CSS
- TailwindCSS
- JavaScript /
Logic:
- Zone-based AI rules
- Pathfinding
- Congestion detection
Simulation:
- Real-time movement generator
- Live moving forklifts
- Click to select asset
- Path visualization
- Heatmap zones
- Mini-map
- Replay movements
- Sound alerts
Forklifts, pallet jacks, tools
Machines, spare parts
Wheelchairs, equipment
Heavy tools, vehicles
Containers, carts
Automotive assembly lines (Ford, Toyota)
They track tools and parts to prevent downtime and unlock optimization
- Saves search time
- Improves productivity
- Indoor tracking (GPS-free)
- AI-based optimization
- Reduces idle assets
- Prevents losses/theft
- Better safety
- Data-driven decisions
- Scalable to thousands of assets
- Low-cost deployment
| Challenge | Mitigation |
|---|---|
| Hardware cost | Low-cost BLE tags |
| Indoor accuracy | Zone-level tracking sufficient |
| Battery maintenance | Low-power devices |
| Network dependency | Offline buffering |
| Initial setup time | One-time installation |
Expected improvements:
- β± 30% faster asset retrieval
- π 20% lower equipment purchase cost
- π 25% higher utilization
- π‘ safer warehouse operations
- Predictive demand forecasting
- Auto task assignment
- Real IoT hardware integration
- Mobile app
- Cloud deployment
- ML-based optimization
- Multi-floor warehouse support
Most systems only show locations.
Our system: π Analyzes + Optimizes + Recommends
We convert:
π location data β π intelligence β π€ smart decisions
Built during Hackathon Focused on IoT + AI + Smart Logistics