Delivery Cluster Dashboard
Real-time K-Means zone optimization & route success analysis(demo mode – connect backend for live data)
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K-Means Engine
3
Each cluster = one optimized delivery zone
🐍 Spawns kmeans_cluster.py via child_process
📐 Uses k-means++ initialisation
📊 10 random restarts, max 300 iterations
✨ Success prob = weighted(proximity + driver + distance + density)
Active Zones
Zone-04 stops
Zone-14 stops
Zone-24 stops
Optimal Zone Analysis
3 active clustersZone-0
4 deliveries
73%
Centroid Lat18.5125
Centroid Lng73.7925
Avg Success72.8%
Zone-1
4 deliveries
76%
Centroid Lat18.5375
Centroid Lng73.8175
Avg Success76.3%
Zone-2
4 deliveries
73%
Centroid Lat18.5625
Centroid Lng73.8425
Avg Success72.8%