Solutions · Automotive

Location and market data for dealerships, mobility and EV.

Choose sites, size markets and plan networks with demographics, boundaries, business and energy data — resolved from any address or coordinate, Canada-wide.

The challenge

Where you sell, service and charge matters. Dealership placement, sales territories and EV infrastructure all depend on demographics, boundaries and local context that rarely resolve cleanly to a location.

Capabilities

What Neighbourly gives automotive teams.

The specific, production-grade capabilities behind automotive on Homicity — not features on a slide, but data and tooling you can ship on.

Dealership site comparison

Compare candidate dealership and service-centre locations by boundaries, Forward Sortation Area demographics and nearby businesses from the Business layer. Every candidate is scored on the same nationwide-consistent attributes.

Boundary-based territory design

Draw and manage sales territories against verified Location Boundaries, then size the market inside each with demographic data. Territories align to recognizable geography rather than arbitrary lines.

EV and electrification targeting

Combine Energy Data with household demographics to identify electrification-ready areas and plan where charging infrastructure will have the most impact. This grounds EV strategy in verified energy and population signals.

Delivery and mobile-service geocoding

Normalize, validate and geocode addresses to precise coordinates for accurate vehicle delivery and mobile-service routing. Clean geocoding reduces failed deliveries and inefficient routes.

Market sizing by demographics

Profile age, income, household and tenure by Forward Sortation Area to size demand for a segment or model in a given area. The same fields everywhere let you compare markets on equal terms.

Nearby-business context

Map complementary and competing businesses around a candidate site from the Business layer by category and NAICS sector. This reveals the commercial context a raw demographic count cannot.

What you can build

How Automotive teams use Neighbourly.

Dealership site selection

Compare candidate locations by demographics, boundaries and nearby businesses to place dealerships and service centres.

Territory & market sizing

Draw sales territories on verified boundaries and size each market with demographic data.

EV & charging planning

Use energy and household data to plan EV infrastructure and target electrification-ready areas.

Delivery & logistics geocoding

Standardize and validate addresses for accurate vehicle delivery and mobile-service routing.

Benefits

Why automotive teams choose Homicity.

Confident network placement

Consistent demographic and boundary attributes let network teams place dealerships and service centres on evidence, not instinct.

Fair, comparable territories

Boundary-anchored territories sized by demographics give sales leadership defensible, balanced areas.

EV strategy grounded in data

Energy and household signals focus charging and electrification investment where demand is most likely.

Nationwide single source

One Canadian-hosted API covers every market, so expansion never means switching data providers.

Data layers for Automotive

The Neighbourly layers most relevant to this industry — all under one API key, one schema, Canada-wide.

DemographicsBusiness DataLocation BoundariesAddress & GeocodingEnergy DataNeighbourhood Data
Explore all data layers
How we help

Three ways to put Neighbourly to work for automotive.

Use the data yourself, have us build the whole thing, or bring in our team for strategy and analysis — whatever fits how you work.

Canadian data residency

Hosted in Canadian data centres, end to end.

PIPEDA-compliant

Privacy-first by default, with provincial compliance built in.

One consistent schema

Every layer shares a spine, so data joins cleanly.

Always current

Live, maintained data — never stale snapshots.

Automotive — common questions

How can automotive companies use location data?

Demographics, boundaries, business and energy data help place dealerships, size territories, plan EV infrastructure and geocode deliveries across Canada.

Can I use it for dealership site selection?

Yes. Compare candidate sites by demographics, boundaries and nearby businesses to decide where to open dealerships or service centres.

How does it support sales territory planning?

Verified boundaries let you draw and manage sales territories, and demographic data sizes the market within each one.

Can it help plan EV charging infrastructure?

Yes. Household and energy data help identify electrification-ready areas and plan where charging infrastructure will have the most impact.

Is address data reliable for vehicle delivery and logistics?

Yes. Addresses are normalized, validated and geocoded to precise coordinates, supporting delivery and mobile-service routing.

Is coverage nationwide and Canadian-hosted?

Yes — coverage is Canada-wide, hosted in Canadian data centres and PIPEDA-compliant by default.

What does the energy data tell us for EV planning?

The Energy Data layer provides verified utility-related signals that, combined with household demographics, help identify electrification-ready areas and prioritize where charging infrastructure will have the most impact.

Can we rebalance territories as demographics shift?

Yes. Because territories are drawn on stable boundaries and sized with refreshable demographics, you can re-run the demographic sizing periodically and rebalance areas on a consistent basis.

How reliable is geocoding for delivery routing?

Addresses are normalized, validated and geocoded to precise coordinates and stitched to the boundary hierarchy, which supports accurate vehicle delivery and mobile-service routing.

Can Homicity build a site-scoring model for us?

Yes. You can build on the API, or engage a custom build or data services to turn the underlying demographic, business and boundary data into a scoring model tuned to your network strategy.

Bring Neighbourly to your automotive product.

Tell us what you're building and we'll map the right data layers and plan to your use case.