Reporting des tickets de support classés avec Gemini AI, Typeform et Google Sheets
Ceci est unSupport, AIworkflow d'automatisation du domainecontenant 17 nœuds.Utilise principalement des nœuds comme Code, EmailSend, GoogleSheets, TypeformTrigger, ChainLlm, combinant la technologie d'intelligence artificielle pour une automatisation intelligente. Signaler et classer les tickets de support avec Gemini AI, Typeform et Google Sheets
- •Informations d'identification Google Sheets API
- •Clé API Google Gemini
Nœuds utilisés (17)
Catégorie
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"content": "This workflow retrieves support ticket data from Google Sheets, counts how many tickets fall into each category, and sends a summary report via email."
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"content": "Triggers the workflow to start the summary process."
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"parameters": {
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"content": "Uses Gemini model to classify or tag each support request into predefined categories."
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"content": "Parses Gemini's response to extract only the relevant category label from the output."
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"parameters": {
"text": "=Classify the support request below:\nMessage: {{ $json['Your message'] }}\n\nReturn output with 'category' and 'sentiment' columns of JSON FILE:\n{\n \"category\": one of [\"Billing\", \"Bug Report\", \"Feature Request\", \"How-To\", \"Complaint\"],\n \"sentiment\": one of [\"Positive\", \"Neutral\", \"Negative\"]\n}\n ",
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"name": "Stocker Données",
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"parameters": {
"columns": {
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"Name": "={{ $('Form Trigger').item.json['Enter your name'] }}",
"Email": "={{ $('Form Trigger').item.json['Enter your email'] }}",
"Message": "={{ $('Form Trigger').item.json['Your message'] }}",
"Category": "={{ $json.category }}",
"Sentiment": "={{ $json.sentiment }}",
"Timestamp": "={{$now}}"
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"id": "Name",
"type": "string",
"display": true,
"required": false,
"displayName": "Name",
"defaultMatch": false,
"canBeUsedToMatch": true
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{
"id": "Email",
"type": "string",
"display": true,
"required": false,
"displayName": "Email",
"defaultMatch": false,
"canBeUsedToMatch": true
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{
"id": "Message",
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"displayName": "Timestamp",
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"jsCode": "const items = $input.all();\nconst counts = {};\nitems.forEach(item => {\n const cat = item.json.Category;\n if (cat) {\n counts[cat] = (counts[cat] || 0) + 1;\n }\n});\nreturn [{ json: { summary: counts } }];"
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"name": "Résumé Ticket par Email",
"type": "n8n-nodes-base.emailSend",
"position": [
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"parameters": {
"text": "=Hello,\n\nHere is the updated count of categorized support tickets:\n\nBilling: {{$json.summary.Billing || 0}}\nBug Report: {{$json.summary['Bug Report'] || 0}}\nFeature Request: {{$json.summary['Feature Request'] || 0}}\nHow-To: {{$json.summary['How-To'] || 0}}\nComplaint: {{$json.summary.Complaint || 0}}\n\nBest regards,\nSupport Tracker",
"options": {},
"subject": "Support Ticket Summary",
"toEmail": "notify@example.com",
"fromEmail": "you@example.com"
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"typeVersion": 1
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"content": "Appends each categorized and data ticket into a central Google Sheet for record keeping and later aggregation."
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"content": "Sends an email with the total number of tickets per category from today’s run."
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}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 - Support, Intelligence Artificielle
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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Yaron Been
@yaron-nofluffBuilding AI Agents and Automations | Growth Marketer | Entrepreneur | Book Author & Podcast Host
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