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Route optimisation

Plan the whole day before the first van leaves

QuickE takes the day's orders and builds them into routes that respect how densely each area is ordered, how much each vehicle carries and the windows customers were promised. Each driver opens the app to a stop list already in driving order.

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Routes built around drop density

Orders going to the same area are grouped so a driver works one neighbourhood through, street by street, rather than crossing the city between stops. The plan starts from where the day's orders actually sit, so a dense district keeps one driver busy all morning and the scattered rest of the map is planned around it instead of being left to chance.

Vehicle capacity as a constraint, not a guess

A bike, a van and a chiller truck do not carry the same day. Each vehicle has its capacity, and a route stops taking orders when its vehicle is full, so a driver is not sent out with parcels that were never going to fit and does not come back to reload halfway through the plan.

Delivery windows shape the sequence

A customer who asked for the afternoon does not get a knock at nine in the morning. A promised window is a constraint the route is built around, not a note the dispatcher hopes the driver reads. A stop whose window cannot be met with the vehicles available is flagged while the plan is being built, when there is still time to do something about it.

Handed to the driver in stop order

The driver opens the app to their stops in the order they should be driven, with navigation to the next one. Nobody prints a manifest and nobody re-sorts the day from memory in the front seat. When the day changes, a new order arrives or one is cancelled, the route is rebuilt and the driver's list follows in the app rather than over the phone.

What this replaces

  • A dispatcher with a map open and thirty browser tabs.
  • Drivers deciding their own order in the car park.
  • A day plan that lives in one person's head and leaves when they do.
  • The afternoon call asking a driver to double back across town.

Where this matters most

See last mile deliverySee quick commerce and food delivery

Questions operators ask

What does route optimisation take into account?
Routes are built from three constraints at once: how the day's orders cluster by area, how much each vehicle can carry, and the delivery windows customers were promised. The result is a stop sequence for each driver that respects all three, rather than the shortest line on a map drawn without knowing when anyone is home.
What happens when an order arrives after the routes are built?
The plan is not frozen when it is published. A new order is placed into the route where it disturbs the day least, a cancelled order drops its stop out, and the affected driver's list updates in the app. The alternative, a phone call and a detour agreed from memory, is exactly what route optimisation exists to end.
Can different vehicle types run on the same day's plan?
Yes. Each vehicle carries its own capacity, and every route is built to fit the vehicle that will drive it. A bike takes the light orders in the dense district, the van takes the bulky ones across the longer distances, and neither is planned as if it were the other.
How does a driver receive the route?
The route lands in the QuickE driver app as a stop list in driving order, in Arabic or English, with navigation to the next stop. The driver works down the list, and proof of delivery and any cash collected are recorded against each stop as it is completed.
Does route optimisation suit same day operations or only next day planning?
Both. A fleet that books today and delivers tomorrow can build the whole day in one pass before drivers leave, and a quick commerce or food operation can keep short routes forming continuously as orders come in. The constraints are the same in both cases. What changes is how often the plan is rebuilt.

Stop routing the day by hand

Start free, load a day of orders and look at the routes it builds before anyone drives them. Or book a demo and plan a morning with someone who knows delivery operations in the region.

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