Supply Chain · Geospatial Analytics · Cost Modeling · Demand Forecasting · Optimization
Unoptimized routes inflated freight spend and reduced delivery efficiency across distribution tiers.
Unplanned transfers bypassed supply routes, undermining cost controls and predictability.
Misallocated inventory across warehouse tiers caused bottlenecks and excess holding costs.
No unified view of cost drivers or metrics, blocking growth planning and performance benchmarking.
Re-mapped stores to optimal supply nodes using a real-world distance matrix and geospatial analytics.
Balances freight, processing, and warehouse costs against capacity to redesign distribution economically.
Built simulation capability for distribution scenarios — enabling what-if planning for network redesign.
Real-time dashboards surfacing network diagnostics, anomalies, and optimization benchmarks for leadership.
Distribution tiers redesigned — central, regional & local.
Analytics capabilities — EDA, geospatial, optimization, forecasting, simulation, visualization.
Reliance on ad-hoc transfers — eliminated via optimized supply node mapping.
Unified cost-optimization model for nationwide distribution.