Store locators that match your brand.
Custom-styled basemaps, branded markers, and proximity-plus-attribute search, for store finders that look like your site, not someone else's map.
Store locators, site selection, and in-app maps built for retail and restaurant chains.
Branded store finders, drive-time trade-area analysis for site selection, and in-app maps tuned for the way customers actually find your stores.
Trusted by retail and restaurant chains across North America.
Built around how retail and restaurant chains actually run
Site selection grounded in drive-time, not radius.
Drive-time isochrones, trade-area overlays, and origin-destination matrices, so new-store decisions reflect how customers actually reach you.
In-app maps that scale with your downloads.
Embedded map components, store-detail navigation, and turn-by-turn directions, at volume pricing that doesn't penalize a high-traffic mobile app.
Geocoding for loyalty, shipping, and BOPIS.
Customer-address geocoding for loyalty programs, shipping, and curbside pickup, with the residential and rural precision national chains depend on.
Why retail and restaurant teams choose MapQuest
Pricing built for the volume retail and restaurants actually run at.
Store locators, mobile maps, and customer geocoding don't run a few API calls, they run hundreds across millions of monthly users. Per-tile and per-call pricing breaks the math at scale. Our pricing is built for it.
Map UX that customers expect.
Branded markers, store-attribute filters, drive-time search, and turn-by-turn directions, the spatial primitives a national chain runs on, available as first-class APIs.
A real partner, not a portal.
Retail and restaurant teams get dedicated technical support and account management. When a store-locator issue surfaces during a Black Friday traffic spike, there's a human on the other end.
What we've learned working with retail and restaurant chains
Per-tile pricing kills locator economics.
Store locators look like a small piece of the site, but they generate disproportionate API volume, every search, every zoom, every detail page. The chains we work with that rebuilt their tile and search bills got the biggest gains not from a faster locator, but from one that didn't penalize traffic.
Trade areas aren't circles.
Site selection built on radius rings approves locations the trade area doesn't actually reach. The chains that move to drive-time isochrones grounded in real road-network data place stores where customers are, not where the radius says they are.
Address quality decides whether the loyalty program works.
Loyalty offers, shipping confirmations, and curbside pickup all depend on a customer address that resolves cleanly. The chains that fix geocoding at sign-up, not at fulfillment, see the smoothest customer experience downstream.
Want the deeper technical view? Read our store-locator and site-selection guide →
Common questions from retail and restaurant teams
How does pricing compare to per-call providers like Google Maps Platform or HERE for high-volume locator and mobile-map usage?
Retail and restaurant chains hit per-tile and per-call pricing walls fast, especially after recent Google Maps Platform price changes. Our model is volume-based, designed for the call patterns multi-location chains actually run. Talk to sales for a per-store or per-thousand-session TCO comparison against your current bill.
Can we style the locator and in-app maps to match our brand?
Yes. Custom basemap styling, branded markers, and brand-controlled color palettes are first-class. Most retail and restaurant customers ship a fully branded map experience without giving up performance.
Do you support drive-time isochrones for site selection and trade-area analysis?
Yes. Drive-time isochrones, origin-destination matrices, and demographic overlays (where licensed) are available across our API. Most site-selection teams run trade-area analysis directly against our routing and matrix endpoints.
How quickly can we get started?
API keys same day. Most retail and restaurant teams have a sample locator and geocoding running in a staging environment within two weeks, with production traffic in four to six.