Pacific Route Logistics is a regional logistics provider operating across Southern California, managing truck, rail, and last-mile deliveries in highly congested urban corridors. From 2021 to 2024, growing shipment volume, port congestion, and traffic variability led to inconsistent on-time delivery performance, rising shipping costs, and increased operational risk.
Despite access to GPS, IoT, warehouse, and external traffic and weather data, operational decisions remained largely reactive. This analysis uses historical and real-time logistics data to identify the key drivers of delivery delays, cost variability, and shipment risk, with the goal of improving routing, warehouse efficiency, and service reliability without increasing operating costs.
- Identifies how traffic, weather, route risk, and port congestion impact delivery time deviation.
- Evaluates route risk levels, congestion patterns, and disruption likelihood by geography.
- Assesses the impact of inventory levels, equipment availability, and loading times on fulfillment rates.
- Analyzes supplier reliability, lead times, customs clearance, and port congestion as risk drivers.
- Examines correlations between driver scores, fuel consumption, delays, and disruption risk.
- Measures the cost and delay effects of weather severity, traffic congestion, and customs delays.
- Uses predictive modeling to flag shipments with elevated delay probability or disruption risk.