AI-powered repair estimate generator. Customer describes issue, AI suggests likely repairs with labor hours and parts costs based on vehicle year/make/model.
Give customers instant, accurate repair estimates and close more jobs. This workflow accepts customer vehicle complaints via your website, text message, or phone call transcript and uses AI to generate a detailed preliminary repair estimate tailored to their specific vehicle.
The customer provides their vehicle year, make, model, and mileage along with a description of the issue (strange noise, warning light, performance problem, etc.). The AI cross-references a comprehensive repair database to identify the most likely diagnoses, required parts with current pricing, and standard labor hours for each repair on that specific vehicle platform.
The estimate includes a range (best case / most likely / worst case) to set proper expectations, along with a plain-English explanation of what the repair involves and why it matters. For common issues, the AI also suggests related preventive maintenance that should be performed at the same time. The workflow sends the estimate to the customer and creates a pending appointment in your shop management system, making it easy for them to book. Shops report a 25% increase in estimate-to-appointment conversion rates.
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15 hours/weekTime Saved
n8nPlatform
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{
"name": "AI Repair Estimate Generator",
"nodes": [
{
"id": "webhook",
"type": "n8n-nodes-base.webhook",
"name": "Estimate Request",
"position": [
250,
300
],
"parameters": {
"path": "repair-estimate",
"method": "POST"
}
},
{
"id": "lookupVehicle",
"type": "n8n-nodes-base.httpRequest",
"name": "Lookup Vehicle Data",
"position": [
450,
300
],
"parameters": {
"url": "={{$env.VEHICLE_DATA_API}}/decode",
"method": "GET",
"queryParameters": {
"year": "={{$json.vehicle_year}}",
"make": "={{$json.vehicle_make}}",
"model": "={{$json.vehicle_model}}"
}
}
},
{
"id": "aiEstimate",
"type": "n8n-nodes-base.openAi",
"name": "AI Generate Estimate",
"position": [
650,
300
],
"parameters": {
"model": "gpt-4o",
"prompt": "You are an experienced auto repair estimator. Based on the customer complaint and vehicle info, generate a detailed repair estimate.\n\nVehicle: {{$json.vehicle_year}} {{$json.vehicle_make}} {{$json.vehicle_model}} ({{$json.mileage}} miles)\nCustomer complaint: {{$json.complaint}}\nVehicle data: {{JSON.stringify($json.vehicle_specs)}}\n\nReturn JSON: {\n likely_diagnoses: [{diagnosis: string, probability: string, description: string}],\n recommended_repairs: [{repair: string, parts: [{name: string, part_number: string, cost: number}], labor_hours: number, labor_cost: number, total: number}],\n estimate_range: {low: number, mid: number, high: number},\n additional_maintenance: [{service: string, reason: string, cost: number}],\n customer_explanation: string\n}"
}
},
{
"id": "fetchPricing",
"type": "n8n-nodes-base.httpRequest",
... truncated (206 lines total)
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