Ramen Shop
Delivery orders grow but margins shrink the further the driver goes — and the shop can’t see where its real demand lives. We map it and redraw the radius around profit, not optimism.
The situation
Third-party delivery made the ramen shop busier and, oddly, not much richer. Long-distance orders arrive cold, earn complaints, and cost more in driver time and platform fees than they bring in. Meanwhile clusters of nearby demand go under-served because marketing is spread evenly across a city that doesn’t order evenly.
The owner has no map of where orders come from, how far is too far, or which neighbourhoods would respond to a targeted push. Every postcode is treated the same.
Where we dig for the truth
We geocode every order and overlay cost, delivery time and margin to see where ramen actually pays — and where it quietly doesn’t.
Orders thin out fast with distance — and past about 6 km each one loses money once driver time and platform fees are counted.
Our approach — Geospatial Demand & Delivery-Radius Optimization
We map demand density and compute true contribution per order by zone, factoring driver time and platform fees. The flat city-wide radius becomes a profit-aware one: a tight, well-served core, a mid-band kept only where it pays, and the loss-making long-haul fringe dropped.
Marketing spend is then redirected from ‘everywhere’ to the dense, profitable blocks — and to the gaps between the shop and the nearest competitor, where a nudge converts cheaply.
Cutting the money-losing long hauls and concentrating promos in dense, nearby blocks lifts profit even as total order count dips slightly.
What changes
Same kitchen, a smaller but smarter delivery map. Representative for a shop with heavy third-party delivery.
Frequently asked questions
How do you make restaurant delivery profitable?
What is geospatial demand analysis?
How is this different from buying more delivery ads?
Want this run on your numbers?
Send your delivery order history and we’ll map where you’re making and losing money.