Short answer
Repair chains and dealer service departments hold work orders, parts lines, inspection photos and sometimes video of repairs. They are a distinct supplier type: records are plentiful and structured, but customers, manufacturers and franchise or dealer agreements all constrain reuse. They can supply diagnosis, outcomes and task frequency. Physical demonstrations are rare, and manufacturer content in the records may not be theirs to license.
Why this supplier type needs its own page
An independent shop owner can often decide what to do with the shop's own records. A dealer service department or a chain cannot decide in the same way. The records sit in a dealer management system or a shop-management platform, the customer's vehicle and personal details are in every order, the manufacturer's service information is quoted throughout, and a franchise or dealer agreement may reserve rights to the brand or the parent. A buyer who treats a repair network like any maintenance provider will find the hard questions late.
This guide covers what repair networks hold, what they can license and how to approach them. It deals with automotive-style service as the main case; other trades are covered in appliance repair and HVAC service data. The surrounding material is in the maintenance cluster and the humanoid data guide.
What repair networks hold
| Asset | Content | Constraint to expect |
|---|---|---|
| Repair orders | Complaint, cause, correction, parts, labor lines | Customer and vehicle identifiers; may quote OEM text |
| Inspection records | Multi-point inspection results, photos, tech notes | Customer-owned vehicles and images |
| Parts records | Part numbers, fitment, prices, returns | Aftermarket data standards; supplier price terms |
| Technician time records | Clock-on and clock-off per job | Employee data |
| Warranty claims | Operation codes, failure codes | Manufacturer terms |
| Video and photos | Bay cameras, phone videos, customer-facing walkaround videos | Customer and worker identifiability |
| Customer communications | Estimates, approvals, messages | Personal data; commercial terms |
Structured parts data often follows industry standards. The Auto Care Association's ACES standard manages and communicates fitment data for light, medium and heavy duty vehicles, powersports and off-highway equipment, and PIES carries product information such as attributes, descriptions, images and packaging; both are machine-readable XML and rely on subscription reference databases (Auto Care Association). Two consequences follow. Fitment and product fields in a shop's records may be derived from licensed reference databases, so they may carry their own terms. And a standard format makes joins across suppliers easier. See spare parts identification for the object side.
What repair networks can and cannot supply
They can supply diagnosis and repair-outcome records, task frequency by vehicle and symptom, the language technicians and advisors use, and photo evidence of faults and parts. See work-order histories for how to read the structure, and automotive service tasks for the task side.
They cannot, from records alone, supply physical demonstrations. Orders say "replace caliper" without showing the work. Bay or phone video, where it exists, usually lacks consistent framing, covers only parts of a task and has no force data. A humanoid needs robot-specific observations and actions; business records and footage can support perception, language and task understanding but not control.
The constraint stack
Think of four layers of permission, each of which can block use.
- The customer. Orders contain personal data and details of a customer's property. Ask what notice and terms customers accepted.
- The manufacturer. Repair procedures, labor times, torque values and diagrams in the records may be OEM content. See OEM service documentation access and service bulletins and recalls.
- The network. A chain or dealer group may require head-office approval, and a franchise agreement may restrict data use by individual locations.
- The platform. The dealer management or shop software vendor's terms may limit export and reuse.
The U.S. Copyright Office's pre-publication report on generative AI training, released on 9 May 2025, identifies points in AI development where copying may implicate rights, analyzes fair use and examines licensing options (U.S. Copyright Office, 2025). It is a framing document for buyers' counsel, not a rule for any one dataset. Questions to put to counsel for repair records: does OEM procedure text, torque data or diagrams quoted in orders raise the copying issues the report identifies, and does any license from the shop, network or manufacturer cover training use? This is not legal advice. For contract topics, see licensing terms for robotics training data.
Redacting customer names or plate numbers does not by itself settle whether the customer, manufacturer or network has permitted the use.
Illustrative approach to a network supplier
# Illustrative only - synthetic values, not an available dataset
supplier: service_network_X
scope_requested:
record_types: [repair_orders, inspection_photos, parts_lines]
period: 2023-01..2025-12
locations: 12_of_40
permission_map:
customer: {notice_version: n3, opt_out_list: yes}
manufacturer: {oem_text_in_records: partial, strip_fields: [oem_procedure_text, labor_time_guide]}
network: {head_office_approval: required, location_consent: per_site}
platform: {export_terms_reviewed: pending}
deliverable:
de_identified_fields: [customer_name, address, phone, plate, vin_last_6]
retained_fields: [make, model, year, symptom, correction, part_number, outcome]
video: none_in_first_phase
excluded: [robot_actions, forces]
Starting with records and photos while video is cleared separately keeps a first phase tractable. Whether video can follow depends on the permission map.
Quality checks
- Sample orders from several locations and compare how complaint, cause and correction are written. Chains often have shop-specific habits.
- Check how complete the cause and correction fields are against labor and parts lines.
- Confirm how many distinct vehicle makes, systems and technicians appear.
- Verify that parts numbers resolve in a reference database and that repeats are marked, using ideas in first-time-fix and callback labels.
- Test whether OEM text can be stripped without removing the shop's own wording.
Staging the approach
Approach a network in phases rather than asking for everything at once. A first phase might cover de-identified repair orders and parts lines from a few locations, which exercises the permission map with the least exposure. A second phase can add inspection photos, where customer vehicles and sometimes people appear. Video, which shows workers and bays, comes last and usually needs its own notice and consent. At each phase, agree who signs for the network and which locations opt in.
It also helps to separate what the network can license from what it merely holds. Its own wording, timestamps and outcomes are generally its to decide; manufacturer procedures, labor guides and licensed reference data are not necessarily. A written field-by-field schedule of origin makes this concrete and gives your counsel something to review.
Questions to ask suppliers
- Who is the contracting party for the data: the shop, the dealer group, the franchisor or the software platform?
- What notice did customers receive about use of their repair records and photos?
- Which fields quote or derive from manufacturer content, and can they be removed cleanly?
- Which parts and fitment fields come from licensed reference databases, and under what terms?
- Do franchise, dealer or platform agreements limit export or reuse of order data?
- How many locations, vehicle makes and technicians appear, and how consistent is the record style?
- Is there bay or phone video, and who appears in it?
- Can records be linked to repeat visits or warranty outcomes?
- What happens to licensed data if a location leaves the network or a customer asks for deletion?
Discuss your requirements
If your project needs repair-network data, describe the vehicle or equipment classes, record types and permitted uses to SourceX. SourceX looks for US businesses that hold suitable material, checks the data and the supplier's licensing permissions, and coordinates the license and delivery. A request does not guarantee a match, and nothing is contracted until a supplier agrees. The catalog guide on how to license proprietary data for AI training explains the general process.
Explore sourcing and licensing options with SourceX
Sources
- Auto Care Association ACES and PIES standards — Aftermarket data standards for vehicle fitment and product information, which shape how repair-shop part data is structured.
- Copyright and Artificial Intelligence, Part 3: Generative AI Training (pre-publication version) — U.S. Copyright Office report identifying points in AI development where copying may implicate rights and examining licensing options.