Guides

Working out how many customers you can actually serve

Most operators estimate capacity from their kitchen equipment and then discover the real ceiling somewhere else entirely — usually in the delivery window or in the coordination workload.

Four constraints, and they bind in a surprising order

A meal-plan operation has four capacity limits: how much you can cook, how fast you can pack, how many stops you can drive in the window, and how many customer changes one person can process before a cut-off. Most operators plan against the first and are eventually stopped by the third or fourth.

Cooking capacity is the easiest to expand — another shift, another oven, a longer morning. Delivery window capacity is much harder, because it is bounded by traffic and by the hours customers will accept a delivery. Coordination capacity is hardest of all, because it scales with change frequency rather than volume.

That ordering explains why kitchens with spare oven time still feel at their limit. The constraint moved and nobody recalculated.

Calculating each one honestly

  1. Cooking

    Portions per production hour for your actual menu mix, not your best dish. Multiply by usable hours before the packing bench needs the space.

  2. Packing

    Boxes per person-hour at your current error rate. If pushing the rate increases mistakes, that is your real limit rather than the theoretical one.

  3. Delivery

    Stops per driver per window. Measure it rather than estimating: average drive time between your actual stops, plus time at the door, within the hours you promise.

  4. Coordination

    Changes processed per person per day, multiplied by how often your customers change something. This is the one nobody measures and the one that usually binds first.

Density changes everything on the delivery side

Twenty stops in one community and twenty stops spread across a city are the same box count and completely different rounds. Delivery capacity is a function of density, not customer count, which is why a service-area decision is really a capacity decision.

It also means growth in an area you already serve is close to free, while growth in a new area carries a step change in cost. Two customers in a distant community may be individually profitable and collectively a loss once you count the drive.

Expanding the constraint that actually binds

If delivery is the limit, adding kitchen capacity does nothing. The levers are density, window length, or another driver — and another driver is a step cost that only pays back at a certain stop count.

If coordination is the limit, the answer is usually not another coordinator. Self-service pausing, an enforced cut-off and derived production counts each remove work rather than distributing it, and they change the slope instead of the intercept.

The practical discipline is to re-identify the binding constraint every few months. It moves as you grow, and planning against last quarter’s bottleneck is how kitchens invest in the wrong thing.

Common questions

What usually limits a meal-plan kitchen first?
Rarely cooking. Most commonly the delivery window or the coordination workload — how many customer changes one person can apply correctly before a cut-off. Both are invisible in an equipment-based capacity estimate.
How do I measure delivery capacity?
Time your actual round rather than estimating. Average drive time between your real stops plus time at the door, divided into the window customers will accept, gives a stop ceiling per driver that reflects your geography.
Does adding customers in a new area increase capacity cost?
Yes, as a step rather than a slope. Growth within an area you already cover is nearly free; a handful of stops in a distant community can cost more in drive time than they generate.
When is another driver worth hiring?
When stop count in a coherent geography exceeds what one round can carry inside the promised window. Hiring against scattered demand adds cost without removing the constraint, because the drive time is the problem rather than the hands.

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.