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Dynamic Route Planning

Changes in customer demand, reducing operational expenses, and increasing fleet efficiency are all possible with dynamic route planning software.

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Capabilities of Dynamic Route Planning

Scalability

Scalable solution whatever your requirements

Utilise a flexible solution created to specifically model and enhance the performance of your fleet and satisfy the route planning needs of your business.

Dynamic Route Planning

Simple to use

Planners may quickly and easily create an effective set of routes that cater to both client and business objectives thanks to the software’s modern, user-friendly interface.

Route execution

No wasting time waiting for optimised routes

Continuous background optimisation of orders and routes means that the delivery plan is ready to go as soon as it is needed.

Continuous improvements

Continuous improvements

Transition from planning to execution seamlessly, while utilising machine learning-based feedback to improve subsequent route planning.

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Dynamic route scheduling FAQ's

  • What is dynamic route scheduling?

    Dynamic route scheduling is optimising delivery routes where deliveries change every day. Dynamic route scheduling software (also known as Multidrop route planner software) will enable an efficient and flexible delivery operation. 

    Each set of daily delivery routes will be different and depend upon the orders being delivered that day. Many businesses employ static routes for clients have set days/times for delivery. Businesses that have a diverse client base and dynamic order mix use dynamic route optimisation. Each day’s order mix, volumes and delivery locations will determine delivery routes. This can change each time an order is received up to a cut-off time selected by the planner. 

  • How does dynamic route scheduling differ from static route planning?

    Static route planning is where fixed delivery routes are created in advance and executed to a set frequency (daily, weekly or other). Static routes are common where the same customers receive deliveries on a regular and predictable basis. Whereas dynamic route scheduling adjusts routes on-the-fly as orders are received, creating different routes for the next day or week’s deliveries. . 

    It is possible to calculate routes for a mix of static and dynamic deliveries and this is known as hybrid route planning.

  • What are the benefits of dynamic route scheduling?

    Being able to dynamically adjust routes for the mix of deliveries as they are received, improves delivery efficiency, reduces costs, CO2 emissions and provides a better customer experience with accurate delivery times.  

    Calculate your possible fuel and CO2 savings here.

 

Technical questions

 

Business impact questions

 

Implementation questions

  • How long does it take to implement dynamic route scheduling?

    The implementation timeline varies depending on the complexity of your operations and the chosen software options, along with your rollout plan. Typically, it can take anywhere from a few weeks to several months.

  • What are the challenges of implementing dynamic route scheduling?

    Common challenges when introducing any logistics software will include data integration, employee training, and overcoming any resistance to change. However, with proper planning, training and execution, these challenges can easily be mitigated, Descartes has already installed dynamic route optimisation software in hundreds of businesses.

    Customer Successes.

  • How can I measure the success of dynamic route scheduling?

    Key performance indicators (KPIs) will be the best way of measuring the success of dynamic route scheduling, for example: 

    • On-time delivery rates. 
    • Fuel consumption. 
    • Miles per delivery. 
    • Driver productivity. 
    • Customer satisfaction. 

     

    But you could also consider measuring and monitoring: 

    • Time spent planning deliveries. 
    • On the Road (OTR) Failures - Number of failed deliveries while out for delivery e.g. due to drivers running out of time at the end of the day. 
    • Service times, how accurate are the times you allow. 
    • Whether peaks in demand have been smoothed over several days. 

 

Additional questions