For automotive parts distributors

Every repair shop and dealership worth stocking your parts catalog

Automotive parts distributors use catalog.xmap.ai to find every repair shop, dealership, and garage worth reaching, and to size territory demand before committing a rep or a warehouse to it.

WHAT YOU GET A downloadable CSV of business locations (name, address, coordinates, category, ratings, hours & more) filtered to exactly what you need.
What is catalog.xmap.ai

catalog.xmap.ai is a self-serve database of 140M+ real business locations across 40+ countries. Every record is an actual, physically-located business (not an estimate) with up to 36 structured fields: name, full address, latitude/longitude, category (three levels deep), brand and chain affiliation, hours of operation, phone and website, star rating and review count, open/closed status, and more.

You filter the catalog by category, brand, or geography in a live web interface, watch the matching record count update as you narrow the search, and export the results as a clean CSV file, ready to open in a spreadsheet, load into GIS software, or join against your own data.

The dataset refreshes every 30 days, so an export reflects recent openings, closures, and changes rather than a static snapshot from years ago.

140M+
Locations
40+
Countries
36
Fields per record
30 days
Refresh cycle
Why automotive parts distributors reach for it
Fragmented buyer base
Independent shops outnumber chains

Most repair capacity sits with independent garages that are hard to find without a real location list.

Warehouse placement matters
Delivery radius drives service level

A distribution hub needs to sit close to the density of shops it's meant to serve same-day.

EV shift changes demand
Parts mix is shifting by shop

Knowing which shops service EVs versus combustion vehicles increasingly shapes what to stock where.

Top use cases
Repair-shop & dealership mapping

Export every independent garage, chain shop, and dealership in a target territory.

Warehouse & hub siting

Score candidate distribution-hub locations by density and proximity of qualifying shops.

New-shop alerts

Catch newly opened repair shops worth an introductory sales call.

Territory demand sizing

Rank regions by density of qualifying shops to prioritize rep coverage and route planning.

EV-service segmentation

Identify shops likely to service EVs to guide a shifting parts-mix strategy.

Route & delivery planning

Cluster shops geographically to design efficient same-day delivery routes.

Qualifying shops by type, illustrative

Shop count by type within a distribution hub's delivery radius.

Independent garages
Chain repair shops
Dealerships
Fields that matter most for automotive parts distribution

Every export carries 36 columns; these are the ones automotive distribution teams use most.

FieldTypeWhy it matters here
category_level_1–3stringSeparates independent garages, chain repair shops, and dealerships
brand_name / chain_flagstring / booleanIdentifies chain repair networks worth a corporate account
address / city / zipstringOrganizes shops into delivery routes and rep territories
phone / websitestringBuilds a contactable outreach list for territory reps
open_statusstringFlags newly opened shops worth a fresh sales visit
rating / review_countnumericSignals which shops are busiest and worth prioritizing
latitude / longitudefloatDrives every warehouse-siting and delivery-route calculation
poi_idstring (hash)A stable join key for tracking shop accounts over time
In practice
Siting a new distribution hub

An auto-parts distributor is opening a new regional warehouse. The team exports every repair shop and dealership across three candidate sites, picks the location with the densest cluster of qualifying shops within a 30-minute delivery radius, and builds the rep route plan from the same export.

See your territory mapped

We'll pull a live sample for your category and market.

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