Manual route planning by delivery companies usually looks like this: They plan their delivery transports with the help of framework tours - i.e. fixed delivery areas that are assigned to certain drivers. This makes sense because these drivers know their areas and their customers well. In practice, however, the assigned areas do not work every day due to various circumstances. These include fluctuating order quantities, special delivery time requests from customers that cannot be fulfilled, or vehicle overloads in terms of weight and parking spaces. As a result, dispatchers start swapping or shifting orders between neighbouring frame tours. Often vehicles from neighbouring areas are added. This is not only labour-intensive, but also usually leads to suboptimal results and poorly utilised tours. The solution is intelligent automation of the planning process, which ensures greater flexibility and, above all, delivers better results.
Intelligent planning process with gts
The automated planning process with the TransIT tour planning software from gts leads to optimal results in such scenarios by using algorithms to optimally shift deliveries between framework tours as needed. This leads to improved customer service, as vehicles are flexibly deployed where they are needed. This allows companies to offer attractive delivery times to distant customers, for example. In the event of congestion, deliveries are automatically distributed optimally to neighbouring frame tours. TransIT also ensures that required additional vehicles do not criss-cross through different delivery areas, but complete orders as close to the warehouse as possible. In the opposite case, vehicles are automatically saved when order quantities are lower, if this is possible. In the opposite case, vehicles are automatically saved when order quantities are lower, if this is possible.
The experts from gts will explain the benefits of route optimisation in detail and how it is applied in practice during the 30-minute webinar "Improving customer service through intelligent planning with flexible delivery areas" on 20 May at 10 am. You can register for the webinar here: