Guides
Manual route planning versus generated manifests
Most operators assume route software is about finding a shorter path. At meal-plan scale the real problem is upstream: making sure the stop list is correct before anyone optimises it.
Ordering is the easy half
An experienced driver covering the same areas usually sequences their round better than an algorithm, because they know the traffic, the buildings and where parking works. Manual ordering is genuinely competitive at twenty or thirty stops.
What manual planning cannot do is guarantee the list is right. A perfectly ordered round that still contains a paused customer, or misses a new one, has saved nothing.
What generation fixes
The list matches today
Stops derived from live subscriptions, so pauses and new customers are already reflected.
Addresses are current
A change made this morning appears on the round; an exported sheet printed at six cannot know about it.
Item counts per stop
So a short load is caught in the kitchen rather than at a door.
Outcomes come back
Delivered or failed recorded at the stop, visible without phoning anyone.
You may not need optimisation at all
Grouping stops by area and assigning them to the driver who covers it captures most of the available benefit. Sophisticated optimisation tends to produce routes drivers quietly ignore, because it does not know what they know.
Spend the effort on correctness of the list and precision of the locations. Those two changes remove more wasted road time than any solver will.
There is one case where optimisation genuinely earns its keep: a round that changes shape substantially week to week, because customers are spread thinly across a wide area and the set of active stops moves. If your drivers cover a stable geography with regular customers, the routing is already close to optimal in their heads.
The honest test is whether a driver could sequence tomorrow from memory. If they could, buying a solver is buying a rounding error. If they could not — because the round is different every day — the arithmetic starts to favour it.
Common questions
- Do meal-plan kitchens need route optimisation?
- Usually not. Grouping by area and assigning a regular driver captures most of the benefit, and an experienced driver often sequences a familiar round better than an algorithm does.
- What is the real cost of manual route planning?
- Not the sequencing. It is the stop list being subtly wrong — a paused customer still on it, a new one missing, an address that changed after the sheet was printed.
- Is an exported run sheet a problem?
- It becomes one the moment anything changes after printing. A driver reading the live record cannot carry yesterday’s address; a printed sheet always can.
See how this works in practice
The home page walks through the same mechanics against a real admin loaded with a demonstration kitchen: production, packing, routes and the customer side.
Related reading
- SolutionsRoute planning and driver manifests for meal deliveryA meal-plan round is not a set of ad-hoc jobs appearing through the day. It is a known list, knowable the night before — which makes it a planning problem rather than a dispatch problem.
- GuidesDelivery manifests and the driver handoverThe handover from kitchen to road is where a well-run morning gets undone. Almost every failure at this boundary is an information failure rather than a driving one.
- GuidesPreventing meal delivery address errorsAddress problems look like small individual incidents and are actually one of the largest recurring costs in a delivery operation, because each one consumes two people at once.
- GuidesManual scheduling versus scheduled by softwareA delivery calendar kept by hand is perfectly workable while everyone receives on the same days. It breaks on variation, and variation arrives with your twentieth customer.