Warehouse Location Optimizer
Strategic warehouse network optimization using center of gravity analysis, demand-weighted clustering, and coverage analysis. Find optimal warehouse locations to minimize costs and maximize service levels.
8 locations
$1,125,000
$896,000
$896,000
$540,000
$572,000
$456,000
$405,000
$735,000
8
Locations
20,000
Total Demand
2.84
Avg Transport Cost
$5,625,000
Est. Revenue
About Warehouse Location Optimization
Center of Gravity Method
The weighted center point of all customer locations, calculated by weighting each location's coordinates by its demand. Ideal for single warehouse placement.
K-Means Clustering
An algorithm that partitions customer locations into k clusters, with each cluster centered around a warehouse location. Optimal for multi-warehouse networks.
Service Coverage
The percentage of customers within the defined service radius from their assigned warehouse. Higher coverage means better delivery times and service quality.
Key Factors to Consider
- • Customer demand distribution and growth projections
- • Transportation costs and infrastructure
- • Real estate and labor costs in potential locations
- • Regulatory requirements and tax incentives
- • Proximity to suppliers and distribution channels
Optimization Benefits
- • Reduced transportation costs by 15-30%
- • Improved delivery times and customer satisfaction
- • Better inventory management across network
- • Enhanced resilience through geographic diversification
- • Scalability for future growth