Evolution of Vehicle Routing and Scheduling

Read how vehicle routing, logistics planning and scheduling activities have evolved over the years, from being manual, time-taking operations to becoming completely automated, strategic and tactical activities powered by Artificial Intelligence and Machine Learning.

A Brief History of Vehicle Routing
What was vehicle routing like long ago, and how have changing times led to the transformation of route planning and scheduling?

• Phase 1: Static or Predictive Routing:Pre 2005
  Learn about “Computerized Vehicle Routing and Scheduling System” — the first technology phase in vehicle routing, post the manual route planning era.
• Phase 2: Dynamic or Reactive Routing
  Around the mid of the previous decade, as supply chains started becoming global and complex, read how dynamic routes enabled businesses to incorporate a more flexible logistics model.
• Phase 3: End-to-End Visibility, Real-time Tracking and Dispatch Execution
  By the end of the last decade, as focus turned towards using the planned routes in the most efficient way possible, visibility and real-time tracking took up the center stage.
• Phase 4: Customer convenience and Artificial Intelligence: The Present
  Understand how vehicle route planning and on-demand scheduling is done in the present day, and the role of AI-based algorithms in optimizing the process. Read how does route optimization software solve the vehicle routing problem?
• Phase 5: Autonomous Vehicles, Drones and Sustainability: The Future
  What lies ahead of businesses in logistics and supply chains, and how vehicle routing and scheduling will evolve further with advancements in technology.