Scheduled versus on-demand delivery analysis

We price the booked slot against the instant one: contribution per order, rider hours consumed, failed-attempt rates and customer behaviour. The analysis recommends which orders to offer in which service, at what fee, and how many slots to release at each hour.

It is an economic comparison first and a service-design question second.

• A contribution comparison of scheduled and on-demand delivery, by basket size, zone and hour.
• A slot capacity model that releases windows against the riders actually available.
• A fee and incentive structure that steers customers to the service the network can serve profitably.
• A customer-behaviour read from order history: who books, who pays for speed, and who moves.
• A recommended service mix with a pilot design and the measures to stop or extend it.

• Contribution per order is read for scheduled and on-demand service separately.
• The share of orders taken in the scheduled service is tracked as customers move to it.
• Slot utilization by hour shows which hours fill and which stand empty.
• On-time rate is read by service type.
• Delivery fee revenue per order sits beside delivery cost, and you see whether instant delivery pays for itself.

Instant delivery wins attention and costs more to serve, because the network keeps spare riders to meet it. Scheduled delivery fills the network more evenly, yet customers must be persuaded to use it. Offering both without a pricing logic moves volume into the costlier service.

• Most orders request the fastest option, whatever the basket.
• Slots in the evening fill days ahead and slots at midday go empty.
• The fee for instant delivery is the same as for a booked slot.
• Riders wait idle between instant orders yet the schedule is full at peak.
• A competitor's faster promise is driving your own, without a cost case.

Grocery, quick-commerce and restaurant groups, retail chains with home delivery and distributors deciding whether to offer instant delivery, and boards asked to extend a fast-delivery promise to a new city.

Qasim Abbas has answered for treasury above USD 50M at group level, so he reads each promise window as a cost commitment made before the order exists. Your analysis prices every window so the group chooses which to offer.

We analyse exports from your storefront or order system and your dispatch platform, and write the specification for each checkout or slot change. See how fees work.

Should we drop instant delivery?

Keep it where it pays. Instant delivery suits high baskets and busy zones, and the analysis finds where it earns its place and where it carries a fee.

How does this interact with fleet size?

Directly. A higher scheduled share lowers the peak the fleet must meet, which reduces the base in fleet sizing.

Request a private briefing with your current slot and fee rules in hand. We tell you which of your instant orders pay for themselves.