Connect vehicle configuration, service reports, and parts readiness into engineering-reviewed campaign planning.
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Illustrative architecture: An automotive manufacturer notices recurring service complaints associated with a component revision. Engineering and aftersales teams must identify potentially affected vehicle configurations, compare repair evidence, and plan dealer readiness. The system assists investigation and planning without deciding vehicle safety or autonomously authorizing a recall.
Vehicle build records, replacement parts, and software versions change over a vehicle's life. A broad model-generated affected list can include irrelevant vehicles or omit repaired configurations. Dealer narratives also vary widely in terminology and evidentiary quality.
Configuration, service-evidence, parts, and communication specialists work against authoritative records. A deterministic eligibility query produces a candidate population; qualified engineering and campaign owners decide final scope and actions.
The intended result is a reviewable operational decision with source evidence and explicit ownership. Measure the quality and speed of engineering preparation without claiming defect reduction or safety improvement from the architecture alone. Preserve the evidence needed for teams to challenge the proposed population and revise it transparently.
Trace build configuration, component revision, and recorded service replacements.
Cannot certify final campaign eligibility or alter vehicle configuration records.
Cluster complaint descriptions and retrieve supporting diagnostic records.
Cannot diagnose a vehicle or declare a safety defect.
Compare candidate demand with approved repair parts and dealer stock.
Cannot substitute unapproved parts or commit allocations.
Draft engineering review packets and dealer instruction summaries with citations.
Cannot publish bulletins, notify owners, or approve campaign scope.
Own component revisions, build configurations, and approved repair applicability.
Supply service events, diagnostic evidence, and recorded repair history.
Control inventory commitments, dealer communications, and approved campaign populations.
flowchart LR
N0["Service campaign evidence coordination"]
N1["Configuration investigator"]
N2["Service pattern analyst"]
N3["Parts readiness planner"]
N4["Campaign packet agent"]
N5["Evidence ledger"]
N6["Human decision"]
N7["Authorized adapter"]
N0 --> N1
N0 --> N2
N1 --> N3
N2 --> N4
N3 --> N4
N4 --> N5
N5 --> N6
N6 --> N7sequenceDiagram
participant O as "Case orchestrator"
participant S as "Product lifecycle and vehicle records"
participant H as "Accountable reviewer"
O->>S: Read candidate vehicle configurations
S-->>O: Build and replacement history
O->>H: Present versioned candidate population
S-->>O: Corrected component replacement arrives
O->>H: Reopen affected inclusion decisionsCapture the observed pattern and evidence window, keeping complaint frequency separate from confirmed engineering findings.
Join build records and service replacements using governed identifiers; mark missing repair history explicitly.
Review relevant diagnostic records and narratives with source citations, preserving contradictory and negative evidence.
Run a versioned configuration query and estimate parts demand using approved repair definitions and declared assumptions.
Show scope logic, excluded configurations, unresolved evidence, and readiness constraints to qualified engineering and campaign owners.
Store the signed scope and approved dealer materials through campaign controls; later configuration corrections trigger affected-list reevaluation.
Detect: Service history shows a later part revision that conflicts with build-based eligibility.
Recover: Recompute the candidate population and request engineering review of changed inclusion rules.
Detect: Controlled document revision differs from the draft's evidence manifest.
Recover: Block publication, replace the citation, and revalidate applicability and required parts.
Measurement definitions, not promised improvements.
Candidate vehicles with complete relevant build and repair history divided by candidate vehicles reviewed.
Vehicles added or removed after engineering review divided by the initial candidate population.
Time from accepted service signal to engineering-reviewable evidence and query logic.
Draft instructions citing current applicable procedures divided by audited draft instructions.
| Decision | Benefit | Cost |
|---|---|---|
| Vehicle-level genealogy | Supports precise candidate populations. | Historical service data may be incomplete across dealer networks. |
| Narrative clustering | Finds related complaints despite varied language. | Requires validation to avoid merging unrelated symptoms. |
| Engineering approval boundary | Preserves safety and technical accountability. | Campaign timelines remain dependent on expert assessment. |
Engineers validate configuration joins, replacement history, and distinction between candidate and approved scope.
One component family evaluates evidence packets and owner-data minimization without communications.
Approved draft integration launches after obsolete-procedure and corrected-configuration exercises pass.