Agent d'appel vocal IA - conscient du fuseau horaire (VAPI)
Ceci est unSupport Chatbot, Multimodal AIworkflow d'automatisation du domainecontenant 24 nœuds.Utilise principalement des nœuds comme If, Code, Webhook, Airtable, Schedule. Utiliser VAPI Voice AI et une gestion intelligente des fuseaux horaires pour automatiser les confirmations de commande
- •Point de terminaison HTTP Webhook (généré automatiquement par n8n)
- •Clé API Airtable
- •Peut nécessiter les informations d'identification d'authentification de l'API cible
Nœuds utilisés (24)
Catégorie
{
"name": "AI Voice Calling Agent - Timezone Aware (VAPI)",
"tags": [
{
"id": "voice-ai",
"name": "Voice AI",
"createdAt": "2024-08-13T12:00:00.000Z",
"updatedAt": "2024-08-13T12:00:00.000Z"
},
{
"id": "ecommerce",
"name": "E-commerce",
"createdAt": "2024-08-13T12:00:00.000Z",
"updatedAt": "2024-08-13T12:00:00.000Z"
},
{
"id": "timezone-aware",
"name": "Timezone Aware",
"createdAt": "2024-08-13T12:00:00.000Z",
"updatedAt": "2024-08-13T12:00:00.000Z"
}
],
"nodes": [
{
"id": "webhook-trigger",
"name": "Commande Webhook",
"type": "n8n-nodes-base.webhook",
"position": [
240,
300
],
"webhookId": "order-confirmation-webhook",
"parameters": {
"path": "order-confirmation",
"options": {},
"httpMethod": "POST",
"responseMode": "responseNode"
},
"typeVersion": 1
},
{
"id": "validation-check",
"name": "Valider les données de commande",
"type": "n8n-nodes-base.if",
"position": [
460,
300
],
"parameters": {
"options": {},
"conditions": {
"options": {
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "customer-has-phone",
"operator": {
"type": "string",
"operation": "isNotEmpty"
},
"leftValue": "={{ $json.customer_phone }}",
"rightValue": ""
},
{
"id": "order-status-pending",
"operator": {
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.order_status }}",
"rightValue": "pending_confirmation"
}
]
}
},
"typeVersion": 2
},
{
"id": "timezone-checker",
"name": "Vérifier le fuseau horaire et les heures d'appel",
"type": "n8n-nodes-base.code",
"position": [
680,
300
],
"parameters": {
"jsCode": "// Determine customer timezone and check calling hours\nconst orderData = $input.first().json;\n\n// Extract timezone from shipping address or phone number\nfunction getTimezoneFromAddress(address) {\n const timezoneMap = {\n // US States\n 'AL': 'America/Chicago', 'AK': 'America/Anchorage', 'AZ': 'America/Phoenix',\n 'AR': 'America/Chicago', 'CA': 'America/Los_Angeles', 'CO': 'America/Denver',\n 'CT': 'America/New_York', 'DE': 'America/New_York', 'FL': 'America/New_York',\n 'GA': 'America/New_York', 'HI': 'Pacific/Honolulu', 'ID': 'America/Denver',\n 'IL': 'America/Chicago', 'IN': 'America/New_York', 'IA': 'America/Chicago',\n 'KS': 'America/Chicago', 'KY': 'America/New_York', 'LA': 'America/Chicago',\n 'ME': 'America/New_York', 'MD': 'America/New_York', 'MA': 'America/New_York',\n 'MI': 'America/New_York', 'MN': 'America/Chicago', 'MS': 'America/Chicago',\n 'MO': 'America/Chicago', 'MT': 'America/Denver', 'NE': 'America/Chicago',\n 'NV': 'America/Los_Angeles', 'NH': 'America/New_York', 'NJ': 'America/New_York',\n 'NM': 'America/Denver', 'NY': 'America/New_York', 'NC': 'America/New_York',\n 'ND': 'America/Chicago', 'OH': 'America/New_York', 'OK': 'America/Chicago',\n 'OR': 'America/Los_Angeles', 'PA': 'America/New_York', 'RI': 'America/New_York',\n 'SC': 'America/New_York', 'SD': 'America/Chicago', 'TN': 'America/Chicago',\n 'TX': 'America/Chicago', 'UT': 'America/Denver', 'VT': 'America/New_York',\n 'VA': 'America/New_York', 'WA': 'America/Los_Angeles', 'WV': 'America/New_York',\n 'WI': 'America/Chicago', 'WY': 'America/Denver',\n // Countries\n 'UK': 'Europe/London', 'GB': 'Europe/London', 'CANADA': 'America/Toronto',\n 'AUSTRALIA': 'Australia/Sydney', 'GERMANY': 'Europe/Berlin',\n 'FRANCE': 'Europe/Paris', 'INDIA': 'Asia/Kolkata', 'JAPAN': 'Asia/Tokyo'\n };\n \n const address_upper = address.toUpperCase();\n for (const [key, timezone] of Object.entries(timezoneMap)) {\n if (address_upper.includes(key)) {\n return timezone;\n }\n }\n \n // Default to customer's country code from phone number\n const phone = orderData.customer_phone;\n if (phone.startsWith('+1')) return 'America/New_York'; // US/Canada default\n if (phone.startsWith('+44')) return 'Europe/London'; // UK\n if (phone.startsWith('+91')) return 'Asia/Kolkata'; // India\n if (phone.startsWith('+81')) return 'Asia/Tokyo'; // Japan\n if (phone.startsWith('+49')) return 'Europe/Berlin'; // Germany\n if (phone.startsWith('+33')) return 'Europe/Paris'; // France\n if (phone.startsWith('+61')) return 'Australia/Sydney'; // Australia\n \n return 'America/New_York'; // Default fallback\n}\n\nfunction isWithinCallingHours(timezone) {\n const now = new Date();\n const customerTime = new Date(now.toLocaleString(\"en-US\", {timeZone: timezone}));\n const hour = customerTime.getHours();\n const day = customerTime.getDay(); // 0 = Sunday, 6 = Saturday\n \n // Check if it's a weekday (Monday-Friday) and between 10 AM - 3 PM\n const isWeekday = day >= 1 && day <= 5;\n const isCallingHours = hour >= 10 && hour < 15; // 10 AM to 3 PM\n \n return {\n canCall: isWeekday && isCallingHours,\n currentHour: hour,\n currentDay: day,\n isWeekday,\n isCallingHours,\n customerTime: customerTime.toLocaleString(),\n timezone\n };\n}\n\nfunction calculateNextCallTime(timezone) {\n const now = new Date();\n const customerTime = new Date(now.toLocaleString(\"en-US\", {timeZone: timezone}));\n const hour = customerTime.getHours();\n const day = customerTime.getDay();\n \n let nextCallTime = new Date(customerTime);\n \n // If it's weekend, schedule for next Monday at 10 AM\n if (day === 0 || day === 6) { // Sunday or Saturday\n const daysUntilMonday = day === 0 ? 1 : 2; // Sunday = 1 day, Saturday = 2 days\n nextCallTime.setDate(nextCallTime.getDate() + daysUntilMonday);\n nextCallTime.setHours(10, 0, 0, 0);\n }\n // If it's before 10 AM on weekday, schedule for 10 AM today\n else if (hour < 10) {\n nextCallTime.setHours(10, 0, 0, 0);\n }\n // If it's after 3 PM on weekday, schedule for 10 AM next day\n else if (hour >= 15) {\n nextCallTime.setDate(nextCallTime.getDate() + 1);\n // If next day is Saturday, schedule for Monday\n if (nextCallTime.getDay() === 6) {\n nextCallTime.setDate(nextCallTime.getDate() + 2);\n }\n nextCallTime.setHours(10, 0, 0, 0);\n }\n \n // Convert back to UTC for scheduling\n const utcOffset = nextCallTime.getTimezoneOffset() * 60000;\n const utcTime = new Date(nextCallTime.getTime() + utcOffset);\n return utcTime.toISOString();\n}\n\n// Determine customer timezone\nconst customerTimezone = orderData.customer_timezone || \n getTimezoneFromAddress(orderData.shipping_address || '');\n\n// Check calling hours\nconst callingStatus = isWithinCallingHours(customerTimezone);\n\nreturn {\n json: {\n ...orderData,\n customer_timezone: customerTimezone,\n calling_status: callingStatus,\n can_call_now: callingStatus.canCall,\n next_call_time: callingStatus.canCall ? null : calculateNextCallTime(customerTimezone),\n scheduling_info: {\n customer_local_time: callingStatus.customerTime,\n current_hour: callingStatus.currentHour,\n is_weekday: callingStatus.isWeekday,\n is_calling_hours: callingStatus.isCallingHours\n }\n }\n};"
},
"typeVersion": 2
},
{
"id": "check-calling-hours",
"name": "Appel possible maintenant ?",
"type": "n8n-nodes-base.if",
"position": [
900,
300
],
"parameters": {
"options": {},
"conditions": {
"options": {
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "can-call-now",
"operator": {
"type": "boolean",
"operation": "true"
},
"leftValue": "={{ $json.can_call_now }}",
"rightValue": true
}
]
}
},
"typeVersion": 2
},
{
"id": "format-order-data",
"name": "Formater les données de commande",
"type": "n8n-nodes-base.code",
"position": [
1120,
200
],
"parameters": {
"jsCode": "// Format order data for VAPI call with timezone awareness\nconst orderData = $input.first().json;\n\n// Create order summary\nconst items = orderData.items.map(item => \n `${item.quantity} ${item.name} at $${item.price} each`\n).join(', ');\n\nconst orderSummary = `Order ${orderData.order_id} containing ${items}. Total amount: $${orderData.total}. Shipping to ${orderData.shipping_address}.`;\n\n// Get customer's local time for personalized greeting\nconst customerLocalTime = orderData.scheduling_info.customer_local_time;\nconst currentHour = orderData.scheduling_info.current_hour;\n\nlet timeGreeting = \"\";\nif (currentHour < 12) {\n timeGreeting = \"Good morning\";\n} else if (currentHour < 17) {\n timeGreeting = \"Good afternoon\";\n} else {\n timeGreeting = \"Good evening\";\n}\n\n// Create VAPI assistant configuration with timezone awareness\nconst vapiConfig = {\n model: {\n provider: \"openai\",\n model: \"gpt-3.5-turbo\",\n temperature: 0.3,\n systemMessage: `You are Alex, a friendly customer service representative from ${orderData.store_name || 'TechMart'}. You are calling to confirm an e-commerce order during appropriate business hours (10 AM - 3 PM customer local time).\n\nCustomer Information:\n- Name: ${orderData.customer_name}\n- Local time: ${customerLocalTime}\n- Timezone: ${orderData.customer_timezone}\n\nOrder Details:\n${orderSummary}\n\nYour goals:\n1. Use appropriate time-based greeting (it's currently ${timeGreeting.toLowerCase()} for the customer)\n2. Confirm you're speaking with ${orderData.customer_name}\n3. Verify the order details are correct\n4. Confirm the shipping address\n5. Handle any customer concerns professionally\n6. Get final confirmation to proceed with shipping\n\nBe natural, friendly, and concise. Acknowledge that you're calling during their business hours. If the customer wants to make changes, collect the details and confirm you'll process the update.\n\nCall Script Flow:\n1. \"${timeGreeting}, this is Alex from ${orderData.store_name || 'TechMart'}. Am I speaking with ${orderData.customer_name}?\"\n2. \"I hope I'm calling at a convenient time. I'm calling to confirm your recent order placed on ${orderData.order_date}.\"\n3. \"Let me go over the details: [read order items and total]\"\n4. \"Does everything sound correct?\"\n5. \"Great! Your order will be shipped to [read address]. Is this address still correct?\"\n6. \"Perfect! Your order is confirmed and will be processed today. You'll receive tracking info via email within 24 hours.\"`\n },\n voice: {\n provider: \"11labs\",\n voiceId: \"rachel\",\n stability: 0.5,\n similarityBoost: 0.5,\n style: 0.2,\n useSpeakerBoost: true\n },\n firstMessage: `${timeGreeting}! This is Alex from ${orderData.store_name || 'TechMart'} calling to confirm your recent order. Am I speaking with ${orderData.customer_name}? I hope I'm calling at a convenient time.`,\n endCallMessage: \"Thank you for confirming your order! Have a wonderful rest of your day!\",\n recordingEnabled: true,\n endCallPhrases: [\"goodbye\", \"thank you\", \"that's all\", \"end call\", \"have a good day\"],\n maxDurationSeconds: 300,\n backgroundSound: \"office\",\n backchannelingEnabled: true,\n backgroundDenoisingEnabled: true,\n modelOutputInMessagesEnabled: true,\n silenceTimeoutSeconds: 10,\n responseDelaySeconds: 1\n};\n\nreturn {\n json: {\n order_id: orderData.order_id,\n customer_name: orderData.customer_name,\n customer_phone: orderData.customer_phone,\n customer_email: orderData.customer_email,\n customer_timezone: orderData.customer_timezone,\n order_summary: orderSummary,\n vapi_config: vapiConfig,\n call_context: {\n order_total: orderData.total,\n items_count: orderData.items.length,\n shipping_address: orderData.shipping_address,\n order_date: orderData.order_date,\n customer_local_time: customerLocalTime,\n time_greeting: timeGreeting\n }\n }\n};"
},
"typeVersion": 2
},
{
"id": "initiate-vapi-call",
"name": "Lancer l'appel VAPI",
"type": "n8n-nodes-base.httpRequest",
"position": [
1340,
200
],
"parameters": {
"url": "https://api.vapi.ai/call/phone",
"options": {},
"jsonBody": "={\n \"phoneNumberId\": \"{{ $vars.VAPI_PHONE_NUMBER_ID }}\",\n \"customer\": {\n \"number\": \"{{ $json.customer_phone }}\",\n \"name\": \"{{ $json.customer_name }}\"\n },\n \"assistant\": {{ JSON.stringify($json.vapi_config) }},\n \"metadata\": {\n \"order_id\": \"{{ $json.order_id }}\",\n \"type\": \"order_confirmation\",\n \"timestamp\": \"{{ new Date().toISOString() }}\",\n \"customer_timezone\": \"{{ $json.customer_timezone }}\"\n }\n}",
"sendBody": true,
"contentType": "json",
"sendHeaders": true,
"authentication": "predefinedCredentialType",
"headerParameters": {
"parameters": [
{
"name": "Authorization",
"value": "Bearer {{ $vars.VAPI_API_KEY }}"
},
{
"name": "Content-Type",
"value": "application/json"
}
]
},
"nodeCredentialType": "httpHeaderAuth"
},
"typeVersion": 4.2
},
{
"id": "check-call-status",
"name": "Vérifier le statut de l'appel",
"type": "n8n-nodes-base.if",
"position": [
1560,
200
],
"parameters": {
"options": {},
"conditions": {
"options": {
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "call-successful",
"operator": {
"type": "string",
"operation": "isNotEmpty"
},
"leftValue": "={{ $json.id }}",
"rightValue": ""
}
]
}
},
"typeVersion": 2
},
{
"id": "update-order-status",
"name": "Mettre à jour le statut de la commande",
"type": "n8n-nodes-base.airtable",
"position": [
1780,
100
],
"parameters": {
"tableId": "orders",
"resource": "database",
"columnsUi": {
"columns": [
{
"value": "initiated",
"column": "call_status"
},
{
"value": "={{ $json.id }}",
"column": "call_id"
},
{
"value": "={{ new Date().toISOString() }}",
"column": "call_timestamp"
},
{
"value": "calling",
"column": "confirmation_status"
},
{
"value": "={{ $('Format Order Data').item.json.customer_timezone }}",
"column": "customer_timezone"
},
{
"value": "={{ $('Format Order Data').item.json.call_context.customer_local_time }}",
"column": "customer_local_time"
}
]
},
"operation": "update",
"updateKey": "order_id",
"dataToSend": "defineBelow"
},
"credentials": {
"airtableTokenApi": {
"id": "airtable-credentials",
"name": "Airtable Orders Database"
}
},
"typeVersion": 2
},
{
"id": "schedule-call-later",
"name": "Planifier l'appel pour plus tard",
"type": "n8n-nodes-base.airtable",
"position": [
1120,
400
],
"parameters": {
"tableId": "orders",
"resource": "database",
"columnsUi": {
"columns": [
{
"value": "scheduled",
"column": "confirmation_status"
},
{
"value": "={{ $json.customer_timezone }}",
"column": "customer_timezone"
},
{
"value": "={{ $json.next_call_time }}",
"column": "next_call_time"
},
{
"value": "={{ $json.scheduling_info.customer_local_time }}",
"column": "customer_local_time"
},
{
"value": "Outside calling hours (10 AM - 3 PM local time)",
"column": "scheduled_reason"
},
{
"value": "0",
"column": "call_attempts"
},
{
"value": "={{ new Date().toISOString() }}",
"column": "last_updated"
}
]
},
"operation": "update",
"updateKey": "order_id",
"dataToSend": "defineBelow"
},
"credentials": {
"airtableTokenApi": {
"id": "airtable-credentials",
"name": "Airtable Orders Database"
}
},
"typeVersion": 2
},
{
"id": "scheduled-caller",
"name": "Vérificateur d'appels planifiés",
"type": "n8n-nodes-base.schedule",
"position": [
240,
800
],
"parameters": {
"rule": {
"interval": [
{
"field": "cronExpression",
"expression": "0 */15 * * * *"
}
]
}
},
"typeVersion": 1.2
},
{
"id": "get-scheduled-calls",
"name": "Obtenir les appels planifiés",
"type": "n8n-nodes-base.airtable",
"position": [
460,
800
],
"parameters": {
"options": {
"filterByFormula": "AND({confirmation_status} = 'scheduled', {next_call_time} <= NOW(), {call_attempts} < 3)"
},
"tableId": "orders",
"resource": "database",
"operation": "list"
},
"credentials": {
"airtableTokenApi": {
"id": "airtable-credentials",
"name": "Airtable Orders Database"
}
},
"typeVersion": 2
},
{
"id": "vapi-webhook",
"name": "Gestionnaire VAPI Webhook",
"type": "n8n-nodes-base.webhook",
"position": [
240,
600
],
"webhookId": "vapi-webhook-handler",
"parameters": {
"path": "vapi-webhook",
"options": {},
"httpMethod": "POST",
"responseMode": "responseNode"
},
"typeVersion": 1
},
{
"id": "check-webhook-type",
"name": "Vérifier le type Webhook",
"type": "n8n-nodes-base.if",
"position": [
460,
600
],
"parameters": {
"options": {},
"conditions": {
"options": {
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "call-ended",
"operator": {
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.message?.type }}",
"rightValue": "call-end"
}
]
}
},
"typeVersion": 2
},
{
"id": "process-call-results",
"name": "Traiter les résultats de l'appel",
"type": "n8n-nodes-base.code",
"position": [
680,
500
],
"parameters": {
"jsCode": "// Process VAPI call results with enhanced analysis\nconst webhookData = $input.first().json;\nconst callData = webhookData.message;\n\n// Extract call information\nconst callId = callData.call?.id;\nconst callDuration = callData.call?.endedAt ? \n new Date(callData.call.endedAt) - new Date(callData.call.startedAt) : 0;\n\n// Get transcript and messages\nconst transcript = callData.transcript || '';\nconst messages = callData.messages || [];\n\n// Enhanced confirmation detection\nlet confirmationStatus = 'unknown';\nlet customerResponse = 'no_response';\nlet confidence = 0;\n\nconst transcriptLower = transcript.toLowerCase();\n\n// Positive confirmation keywords\nconst positiveKeywords = ['yes', 'correct', 'right', 'confirm', 'good', 'perfect', 'sounds good', 'that\\'s right'];\nconst negativeKeywords = ['no', 'wrong', 'incorrect', 'change', 'different', 'not right', 'cancel'];\nconst issueKeywords = ['problem', 'issue', 'concern', 'question', 'but', 'however', 'wait'];\n\n// Calculate confidence scores\nlet positiveScore = 0;\nlet negativeScore = 0;\nlet issueScore = 0;\n\npositiveKeywords.forEach(keyword => {\n if (transcriptLower.includes(keyword)) {\n positiveScore += 1;\n }\n});\n\nnegativeKeywords.forEach(keyword => {\n if (transcriptLower.includes(keyword)) {\n negativeScore += 2; // Weight negative more heavily\n }\n});\n\nissueKeywords.forEach(keyword => {\n if (transcriptLower.includes(keyword)) {\n issueScore += 1;\n }\n});\n\n// Determine status based on scores and call duration\nif (callDuration < 10000) { // Less than 10 seconds\n confirmationStatus = 'no_answer';\n customerResponse = 'no_answer';\n confidence = 0.9;\n} else if (negativeScore > 0 || issueScore > 1) {\n confirmationStatus = 'needs_review';\n customerResponse = 'requested_changes';\n confidence = 0.8;\n} else if (positiveScore >= 2) {\n confirmationStatus = 'confirmed';\n customerResponse = 'confirmed';\n confidence = 0.9;\n} else if (positiveScore >= 1 && negativeScore === 0) {\n confirmationStatus = 'likely_confirmed';\n customerResponse = 'likely_confirmed';\n confidence = 0.7;\n} else {\n confirmationStatus = 'unclear';\n customerResponse = 'unclear';\n confidence = 0.3;\n}\n\n// Extract specific issues mentioned\nconst issues = [];\nif (transcriptLower.includes('address') || transcriptLower.includes('shipping')) {\n issues.push('shipping_address');\n}\nif (transcriptLower.includes('item') || transcriptLower.includes('product') || transcriptLower.includes('order')) {\n issues.push('order_items');\n}\nif (transcriptLower.includes('cancel') || transcriptLower.includes('don\\'t want')) {\n issues.push('cancellation_request');\n}\nif (transcriptLower.includes('payment') || transcriptLower.includes('card') || transcriptLower.includes('billing')) {\n issues.push('payment_issue');\n}\nif (transcriptLower.includes('time') || transcriptLower.includes('date') || transcriptLower.includes('when')) {\n issues.push('delivery_timing');\n}\n\n// Determine if followup is needed\nconst requiresFollowup = [\n 'needs_review', \n 'no_answer', \n 'unclear'\n].includes(confirmationStatus) || issues.length > 0;\n\nreturn {\n json: {\n call_id: callId,\n order_id: callData.metadata?.order_id,\n confirmation_status: confirmationStatus,\n customer_response: customerResponse,\n confidence_score: confidence,\n call_duration: Math.round(callDuration / 1000), // in seconds\n transcript: transcript,\n issues: issues,\n call_cost: callData.cost || 0,\n processed_at: new Date().toISOString(),\n requires_followup: requiresFollowup,\n analysis_scores: {\n positive: positiveScore,\n negative: negativeScore,\n issues: issueScore\n },\n call_quality: callDuration > 30000 ? 'good' : callDuration > 10000 ? 'fair' : 'poor'\n }\n};"
},
"typeVersion": 2
},
{
"id": "update-final-status",
"name": "Mettre à jour le statut final",
"type": "n8n-nodes-base.airtable",
"position": [
900,
500
],
"parameters": {
"tableId": "orders",
"resource": "database",
"columnsUi": {
"columns": [
{
"value": "={{ $json.confirmation_status }}",
"column": "confirmation_status"
},
{
"value": "={{ $json.customer_response }}",
"column": "customer_response"
},
{
"value": "={{ $json.confidence_score }}",
"column": "confidence_score"
},
{
"value": "={{ $json.call_duration }}",
"column": "call_duration"
},
{
"value": "={{ $json.transcript }}",
"column": "call_transcript"
},
{
"value": "={{ $json.issues.join(', ') }}",
"column": "issues_reported"
},
{
"value": "={{ $json.requires_followup }}",
"column": "requires_followup"
},
{
"value": "={{ $json.call_quality }}",
"column": "call_quality"
},
{
"value": "={{ $json.call_cost }}",
"column": "call_cost"
},
{
"value": "={{ $json.processed_at }}",
"column": "last_updated"
}
]
},
"operation": "update",
"updateKey": "order_id",
"dataToSend": "defineBelow"
},
"credentials": {
"airtableTokenApi": {
"id": "airtable-credentials",
"name": "Airtable Orders Database"
}
},
"typeVersion": 2
},
{
"id": "check-followup-needed",
"name": "Vérifier si un suivi est nécessaire",
"type": "n8n-nodes-base.if",
"position": [
1120,
500
],
"parameters": {
"options": {},
"conditions": {
"options": {
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "needs-followup",
"operator": {
"type": "boolean",
"operation": "true"
},
"leftValue": "={{ $json.requires_followup }}",
"rightValue": true
}
]
}
},
"typeVersion": 2
},
{
"id": "send-followup-alert",
"name": "Envoyer une alerte de suivi",
"type": "n8n-nodes-base.emailSend",
"position": [
1340,
400
],
"parameters": {
"message": "<!DOCTYPE html>\n<html>\n<head>\n <style>\n body { font-family: Arial, sans-serif; line-height: 1.6; color: #333; }\n .header { background: #f8f9fa; padding: 15px; border-radius: 5px; margin-bottom: 20px; }\n .status { padding: 10px; border-radius: 5px; margin: 10px 0; }\n .needs-review { background: #fff3cd; border-left: 4px solid #ffc107; }\n .no-answer { background: #f8d7da; border-left: 4px solid #dc3545; }\n .unclear { background: #d1ecf1; border-left: 4px solid #17a2b8; }\n .transcript { background: #f5f5f5; padding: 15px; border-radius: 5px; font-family: monospace; }\n .metrics { display: flex; gap: 20px; margin: 15px 0; }\n .metric { text-align: center; padding: 10px; background: #e9ecef; border-radius: 5px; }\n </style>\n</head>\n<body>\n <div class=\"header\">\n <h2>🔔 Order Confirmation Follow-up Required</h2>\n <p><strong>Order ID:</strong> {{ $('Process Call Results').item.json.order_id }}</p>\n <p><strong>Call ID:</strong> {{ $('Process Call Results').item.json.call_id }}</p>\n <p><strong>Processed:</strong> {{ $('Process Call Results').item.json.processed_at }}</p>\n </div>\n\n <div class=\"status {{ $('Process Call Results').item.json.confirmation_status.replace('_', '-') }}\">\n <h3>Status: {{ $('Process Call Results').item.json.confirmation_status.toUpperCase().replace('_', ' ') }}</h3>\n <p><strong>Customer Response:</strong> {{ $('Process Call Results').item.json.customer_response }}</p>\n <p><strong>Confidence Score:</strong> {{ Math.round($('Process Call Results').item.json.confidence_score * 100) }}%</p>\n </div>\n\n <div class=\"metrics\">\n <div class=\"metric\">\n <strong>{{ $('Process Call Results').item.json.call_duration }}s</strong><br>\n Call Duration\n </div>\n <div class=\"metric\">\n <strong>${{ $('Process Call Results').item.json.call_cost }}</strong><br>\n Call Cost\n </div>\n <div class=\"metric\">\n <strong>{{ $('Process Call Results').item.json.call_quality.toUpperCase() }}</strong><br>\n Call Quality\n </div>\n </div>\n\n <div>\n <h4>Issues Reported:</h4>\n <p>{{ $('Process Call Results').item.json.issues.length > 0 ? $('Process Call Results').item.json.issues.join(', ') : 'None specific' }}</p>\n </div>\n\n <div>\n <h4>Call Transcript:</h4>\n <div class=\"transcript\">{{ $('Process Call Results').item.json.transcript || 'No transcript available' }}</div>\n </div>\n\n <div style=\"margin-top: 20px; padding: 15px; background: #d4edda; border-radius: 5px;\">\n <h4>📞 Next Action Required:</h4>\n <p>Please follow up with the customer manually to resolve any concerns and complete the order confirmation.</p>\n </div>\n</body>\n</html>",
"options": {},
"subject": "🔔 Order Confirmation Follow-up Required - {{ $('Process Call Results').item.json.order_id }}",
"toEmail": "support@yourstore.com",
"emailType": "html",
"fromEmail": "orders@yourstore.com"
},
"credentials": {
"smtp": {
"id": "smtp-credentials",
"name": "Company SMTP"
}
},
"typeVersion": 2
},
{
"id": "send-confirmation-email",
"name": "Envoyer un e-mail de confirmation",
"type": "n8n-nodes-base.emailSend",
"position": [
1340,
600
],
"parameters": {
"message": "<!DOCTYPE html>\n<html>\n<head>\n <style>\n body { font-family: Arial, sans-serif; line-height: 1.6; color: #333; max-width: 600px; margin: 0 auto; }\n .header { background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); color: white; padding: 30px; text-align: center; }\n .content { padding: 30px; }\n .order-box { background: #f8f9fa; padding: 20px; border-radius: 8px; margin: 20px 0; }\n .success { background: #d4edda; border: 1px solid #c3e6cb; color: #155724; padding: 15px; border-radius: 5px; margin: 20px 0; }\n .footer { background: #f8f9fa; padding: 20px; text-align: center; font-size: 14px; color: #666; }\n </style>\n</head>\n<body>\n <div class=\"header\">\n <h1>✅ Order Confirmed!</h1>\n <p>Thank you for confirming your order with us</p>\n </div>\n \n <div class=\"content\">\n <p>Hi {{ $('Format Order Data').item.json.customer_name }},</p>\n \n <div class=\"success\">\n <strong>Great news!</strong> We've successfully confirmed your order during our call today.\n </div>\n \n <div class=\"order-box\">\n <h3>Order Details:</h3>\n <p><strong>Order ID:</strong> {{ $('Process Call Results').item.json.order_id }}</p>\n <p><strong>Order Summary:</strong><br>{{ $('Format Order Data').item.json.order_summary }}</p>\n </div>\n \n <h3>What happens next?</h3>\n <ul>\n <li>📦 Your order is now being processed</li>\n <li>🚚 You'll receive tracking information within 24 hours</li>\n <li>📧 All updates will be sent to this email address</li>\n <li>🎯 Expected delivery: 3-5 business days</li>\n </ul>\n \n <p>If you have any questions or concerns, please don't hesitate to contact our customer service team.</p>\n \n <p>Thank you for your business!</p>\n </div>\n \n <div class=\"footer\">\n <p>{{ $('Format Order Data').item.json.store_name || 'TechMart' }} Customer Service<br>\n This email was sent because you recently confirmed an order with us.</p>\n </div>\n</body>\n</html>",
"options": {},
"subject": "✅ Your Order is Confirmed - {{ $('Process Call Results').item.json.order_id }}",
"toEmail": "={{ $('Format Order Data').item.json.customer_email || 'customer@example.com' }}",
"emailType": "html",
"fromEmail": "orders@yourstore.com"
},
"credentials": {
"smtp": {
"id": "smtp-credentials",
"name": "Company SMTP"
}
},
"typeVersion": 2
},
{
"id": "validation-error-response",
"name": "Réponse d'erreur de validation",
"type": "n8n-nodes-base.respondToWebhook",
"position": [
680,
500
],
"parameters": {
"respondWith": "json",
"responseBody": "={{ { \"success\": false, \"error\": \"Invalid order data or missing phone number\" } }}"
},
"typeVersion": 1
},
{
"id": "call-error-response",
"name": "Réponse d'erreur d'appel",
"type": "n8n-nodes-base.respondToWebhook",
"position": [
1560,
300
],
"parameters": {
"respondWith": "json",
"responseBody": "={{ { \"success\": false, \"error\": \"Failed to initiate call\", \"details\": $json } }}"
},
"typeVersion": 1
},
{
"id": "success-response",
"name": "Réponse de succès",
"type": "n8n-nodes-base.respondToWebhook",
"position": [
1780,
200
],
"parameters": {
"respondWith": "json",
"responseBody": "={{ { \"success\": true, \"call_id\": $json.id, \"message\": \"Call initiated successfully\", \"customer_local_time\": $('Format Order Data').item.json.call_context.customer_local_time, \"greeting_used\": $('Format Order Data').item.json.call_context.time_greeting } }}"
},
"typeVersion": 1
},
{
"id": "scheduled-response",
"name": "Réponse planifiée",
"type": "n8n-nodes-base.respondToWebhook",
"position": [
1340,
400
],
"parameters": {
"respondWith": "json",
"responseBody": "={{ { \"success\": true, \"message\": \"Call scheduled for later\", \"next_call_time\": $json.next_call_time, \"customer_timezone\": $json.customer_timezone, \"customer_local_time\": $json.scheduling_info.customer_local_time, \"reason\": \"Outside calling hours (10 AM - 3 PM weekdays local time)\" } }}"
},
"typeVersion": 1
},
{
"id": "webhook-response",
"name": "Réponse Webhook",
"type": "n8n-nodes-base.respondToWebhook",
"position": [
1560,
700
],
"parameters": {
"respondWith": "json",
"responseBody": "={{ { \"success\": true, \"message\": \"Webhook received and processed\", \"order_id\": $('Process Call Results').item.json.order_id, \"status\": $('Process Call Results').item.json.confirmation_status } }}"
},
"typeVersion": 1
},
{
"id": "increment-call-attempts",
"name": "Incrémenter les tentatives d'appel",
"type": "n8n-nodes-base.airtable",
"position": [
680,
800
],
"parameters": {
"tableId": "orders",
"resource": "database",
"columnsUi": {
"columns": [
{
"value": "={{ ($json.call_attempts || 0) + 1 }}",
"column": "call_attempts"
},
{
"value": "={{ new Date().toISOString() }}",
"column": "last_attempt"
},
{
"value": "calling",
"column": "confirmation_status"
}
]
},
"operation": "update",
"updateKey": "order_id",
"dataToSend": "defineBelow"
},
"credentials": {
"airtableTokenApi": {
"id": "airtable-credentials",
"name": "Airtable Orders Database"
}
},
"typeVersion": 2
}
],
"pinData": {},
"settings": {
"callerPolicy": "workflowsFromSameOwner",
"executionOrder": "v1",
"saveManualExecutions": true
},
"updatedAt": "2024-08-13T12:00:00.000Z",
"versionId": "2.0",
"staticData": null,
"connections": {
"check-calling-hours": {
"main": [
[
{
"node": "format-order-data",
"type": "main",
"index": 0
}
],
[
{
"node": "schedule-call-later",
"type": "main",
"index": 0
}
]
]
},
"webhook-trigger": {
"main": [
[
{
"node": "validation-check",
"type": "main",
"index": 0
}
]
]
},
"check-call-status": {
"main": [
[
{
"node": "update-order-status",
"type": "main",
"index": 0
}
],
[
{
"node": "call-error-response",
"type": "main",
"index": 0
}
]
]
},
"format-order-data": {
"main": [
[
{
"node": "initiate-vapi-call",
"type": "main",
"index": 0
}
]
]
},
"check-webhook-type": {
"main": [
[
{
"node": "process-call-results",
"type": "main",
"index": 0
}
],
[
{
"node": "webhook-response",
"type": "main",
"index": 0
}
]
]
},
"initiate-vapi-call": {
"main": [
[
{
"node": "check-call-status",
"type": "main",
"index": 0
}
]
]
},
"get-scheduled-calls": {
"main": [
[
{
"node": "increment-call-attempts",
"type": "main",
"index": 0
}
]
]
},
"update-final-status": {
"main": [
[
{
"node": "check-followup-needed",
"type": "main",
"index": 0
}
]
]
},
"update-order-status": {
"main": [
[
{
"node": "success-response",
"type": "main",
"index": 0
}
]
]
},
"validation-check": {
"main": [
[
{
"node": "timezone-checker",
"type": "main",
"index": 0
}
],
[
{
"node": "validation-error-response",
"type": "main",
"index": 0
}
]
]
},
"process-call-results": {
"main": [
[
{
"node": "update-final-status",
"type": "main",
"index": 0
}
]
]
},
"send-followup-alert": {
"main": [
[
{
"node": "webhook-response",
"type": "main",
"index": 0
}
]
]
},
"vapi-webhook": {
"main": [
[
{
"node": "check-webhook-type",
"type": "main",
"index": 0
}
]
]
},
"scheduled-caller": {
"main": [
[
{
"node": "get-scheduled-calls",
"type": "main",
"index": 0
}
]
]
},
"increment-call-attempts": {
"main": [
[
{
"node": "timezone-checker",
"type": "main",
"index": 0
}
]
]
},
"schedule-call-later": {
"main": [
[
{
"node": "scheduled-response",
"type": "main",
"index": 0
}
]
]
},
"send-confirmation-email": {
"main": [
[
{
"node": "webhook-response",
"type": "main",
"index": 0
}
]
]
},
"check-followup-needed": {
"main": [
[
{
"node": "send-followup-alert",
"type": "main",
"index": 0
}
],
[
{
"node": "send-confirmation-email",
"type": "main",
"index": 0
}
]
]
},
"timezone-checker": {
"main": [
[
{
"node": "check-calling-hours",
"type": "main",
"index": 0
}
]
]
}
},
"triggerCount": 2
}Comment utiliser ce workflow ?
Copiez le code de configuration JSON ci-dessus, créez un nouveau workflow dans votre instance n8n et sélectionnez "Importer depuis le JSON", collez la configuration et modifiez les paramètres d'authentification selon vos besoins.
Dans quelles scénarios ce workflow est-il adapté ?
Avancé - Chatbot de support, IA Multimodale
Est-ce payant ?
Ce workflow est entièrement gratuit et peut être utilisé directement. Veuillez noter que les services tiers utilisés dans le workflow (comme l'API OpenAI) peuvent nécessiter un paiement de votre part.
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Adnan Azhar
@adnanazharPartager ce workflow