Dynamic routing refers to the real-time adjustment of delivery routes to adapt to changing conditions such as traffic, weather, road closures, or new delivery requests.
Unlike static routing, which involves pre-planned routes that remain fixed, dynamic routing uses real-time data and optimization algorithms to continuously update and refine routes throughout the day. This ensures that deliveries are completed as efficiently as possible, even when unexpected disruptions occur.
Dynamic routing can greatly improve service levels by enabling companies to respond promptly to changes, thereby reducing delivery times and increasing reliability.
AI and machine learning models are often employed in dynamic routing to predict potential disruptions and proactively reroute vehicles, making the entire delivery network more resilient and responsive. This capability not only enhances customer satisfaction but also helps in reducing operational costs by minimizing idle time, fuel consumption, and unnecessary mileage.