Solutions · Restaurants & QSR

Find the white space between competitors.

Restaurant groups use the demand-gap layer, hourly patterns and cannibalization forecasts to place units where demand is under-served.

hourly visit profile
24 h
demand vs. access criterion
Gap
default spacing between picks
1.5 km
01

Demand gaps

The gap criterion multiplies normalized demand by the inverse of access to your category, surfacing dense areas that existing restaurants serve poorly.

  • Demand = residents + daytime workers
  • Access from the Huff utility
  • Combine with income and traffic
02

Dayparts

Breakfast, lunch and late-night trade areas differ. Hourly matrices and dwell show when a location really works.

  • Day-of-week × hour heatmap
  • Busiest hour and day
  • Dwell vs. category
03

Protect the existing units

Before adding a unit, see which of your restaurants it draws from and whether the trade-off is worth it.

  • Cannibalization by unit
  • Distance to impacted stores
  • Net-new visits

Frequently asked

Which restaurant categories are modeled?

Quick Service, Full-Service Dining and Coffee & Cafés, each with its own distance decay and trade radius.

Can I compare dayparts?

The hourly matrix gives average visits for every hour of every weekday, for any place.

Is ghost-kitchen delivery modeled?

No. MapDove models in-person visits only.

See it on your own shortlist

Start free with the demo cities, or book a walkthrough with our team.