Managing Delivery Density

Delivery density is the concentration of compatible orders in an area and time period. It can improve driver utilisation, but it should not be reduced to a target number of drops per hour. The useful question is whether the business can complete reliable journeys with acceptable cost and food quality.

Measure density by time and place

Map completed orders by postcode sector and short service period. Add journey time, driver paid time, failed delivery and contribution. A zone may be dense on Friday evening and uneconomic on a quiet Tuesday.

Distinguish demand from compatible demand

Orders are compatible when their ready times, promises, destinations, bag capacity and food characteristics allow safe grouping. Five orders in one area are not useful density if they become ready forty minutes apart.

Improve density without misleading customers

• offer defined delivery slots in low-density areas;
• restrict outer-zone availability to periods with proven demand;
• use honest pre-order windows;
• promote direct ordering in areas already served reliably;
• avoid discounts that create scattered, low-contribution demand;
• consider collection as an alternative when a journey is not viable.

Manage remote postcodes deliberately

Option	Suitable when
Higher minimum or fee	Demand exists and the full price remains acceptable
Restricted time slots	Orders can be grouped predictably
Third-party capacity	Provider coverage is reliable and costed
Collection only	Delivery cannot be fulfilled safely or profitably
Remove the area	Failures and costs persist after testing

Avoid density metrics that encourage harm

Do not create driver targets that reward unsafe speed, missed checks or excessive batching. Pair density with promised arrival, complaints, driver incidents and redeliveries. A denser route is only an improvement if the whole outcome remains reliable.

Review after operational changes

New menu items, packaging, road closures, school terms, marketplace promotions and additional channels can change the pattern. Recalculate rather than treating the original zone as permanent.

Coordinate density with kitchen capacity

A promotion can create concentrated demand that the kitchen cannot complete together. Measure ready-time spread as well as order geography. If several nearby orders leave at different times because preparation is unstable, the expected route benefit disappears.

Use incentives carefully

Time-limited delivery slots or area-specific promotions can build density, but publish material terms clearly and model the combined discount, delivery cost and kitchen load. Avoid training customers to wait for an uneconomic offer or creating demand in an area that cannot be served consistently.

Keep an exit rule for low-density coverage

Define the evidence that will trigger restriction or removal, such as persistent negative contribution, repeated late arrival or lack of compatible demand. Communicate changes clearly and preserve collection or later-slot alternatives where practical.

Separate growth from fulfilment evidence

Marketing reports may show demand in a postcode, but operational expansion should use completed-order evidence. Before widening coverage, pilot limited slots and measure the return journey, driver availability and effect on existing customers.

Record temporary experiments separately from permanent coverage so staff apply the correct rule.

Practical next step: identify three postcode sectors with the highest and lowest completed-order density, then compare contribution and reliability before changing marketing or coverage.

Related guides

• Delivery Management — the main guide for the wider topic.
• Route Planning and Efficiency — the broader guide that frames this implementation.
• Delivery Route Optimisation — a closely related operational control to review alongside this page.