Unexpected incidents, such as adverse traffic, unavailability of parking space and vehicle breakdowns, that occur during urban deliveries, lead to delays, higher costs, and inferior customer service. This paper presents the architecture of a real-time fleet management system that handles unforeseen events by monitoring distribution vehicles and by recommending intelligent re-routing interventions in order to improve urban delivery performance.