Each time you run route optimization on the same group of orders you may well receive a different result, as there are multiple ways to organize the same group of orders into efficient routes. Instead of reshuffling all orders each time, build on your existing plans by making focused changes where they are required using the route planner.
The Bringg Platform is the leading cloud provider for delivery and fulfillment, helping you scale and optimize your last mile delivery operations and omnichannel customer experiences. With a real-time view of the delivery process, you get the visibility you need to ensure goods and services reach consumers safely, affordably, and on time.
Bringg empowers a collaborative ecosystem, putting the power back in your hands to drive exceptional delivery experiences at minimum cost.
Bringg helps you make fast, accurate decisions by alerting you to potential problems before they become larger issues, and presenting the information needed for you to react. With Bringg, you can fulfill orders efficiently, with more peace of mind, and better consumer satisfaction.
Bringg helps you keep pace with consumers' growing demands by offering them flexible options like express shipping, Click & Collect, green delivery, and the ability to schedule delivery when they choose.
With Bringg 's Delivery Hub you can access a diverse global network of 300+ delivery providers to expand your business and meet changing market demands. Learn more.
Increase efficiency with optimized routes and AutoDispatch, and keep track of your overall performance with real time report data.
A destination is the exact geolocated address associated with an order. The order may also have notes attached to help drivers access the correct destination. For example, arriving at an office complex, you need the building name, entrance number, access codes to enter, the floor number, room number, whether there are stairs or an elevator, the best place to park and so on. This information is often used to estimate the time on site.
A time window is the time range when you intend to fulfill an order. Therefore, an order is considered fulfilled on time if it arrives within the time window. The time window is set when you schedule an order in Bringg and is usually defined by the no_earlier_than and no_later_than fields. Narrower time windows are seen as better service, like 9 to 10 am, while longer windows are more typical of larger carriers.
You can share the time window with your consumers for an improved experience. For example, if a consumer places an order for the 8:00-12:00 the following day, in the morning notify them that you intend to arrive between 8:00-9:00.
If you allow consumers to select their preferred delivery slot, the time window is scheduled accordingly.
A vehicle in your Own Fleet is paired with a driver to reach a destination on a route. Each vehicle has a type, capacity (maximum weight or dimensions), and you assign specific skills to each one to allow Bringg to choose the correct vehicle for each order. You can define the availability of vehicles in delivery blocks.
Time on site starts when a driver arrives (checks in) at a destination on a route, and ends when they leave (checks out) to continue to the next destination. This can include finding parking, gaining access to the building, security passes, elevators, onsite activities like payment, assembly, unpacking and so on, then exiting, and returning to the vehicle ready to leave.
Bringg uses the time between check-in and checkout to estimate the time of arrival (ETA) at the following destinations in a route.
Run Bringg's route optimization (RO) to reduce costs by organizing your orders into the fastest, most efficient planned routes, where each order arrives at its destination within its designated time window. If you have an Own Fleet, RO can also assign each route to a vehicle or driver who is available at that time and has the correct skills to fulfill the orders. You can configure RO with preferences like the maximum length of a route, the time on site (TOS), the time to load the vehicle, predicted and real time traffic patterns, and so on.
For example, you can ask to set route optimization (RO) to limit the number of destinations on a route, or to use the minimum number of vehicles in a route.
Each time you run route optimization on the same group of orders you may well receive a different result, as there are multiple ways to organize the same group of orders into efficient routes. Instead of reshuffling all orders each time, build on your existing plans by making focused changes where they are required using the route planner.
You can run RO manually or automatically at set days and times, for select teams or across the entire organization.
On demand orders typically use AutoDispatch (AD) instead.