Avkash Kakdiya This workflow corresponds to n8n.io template #12576 — we link there as the canonical source.
This workflow follows the Gmail → Google Sheets recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →
{
"meta": {
"templateCredsSetupCompleted": true
},
"nodes": [
{
"id": "2d5f7114-7492-4cdb-8ebd-1f87e28a5004",
"name": "Normalize Data",
"type": "n8n-nodes-base.code",
"position": [
2544,
3184
],
"parameters": {
"mode": "runOnceForEachItem",
"jsCode": "// Handle both single-item and bulk webhook payloads\nconst d = Array.isArray($json.body)\n ? $json.body[$itemIndex]\n : $json.body ?? $json;\n\n// Hard validation\nif (!d || !d.order_id) {\n throw new Error('Invalid input: order data missing');\n}\n\nreturn {\n order_id: d.order_id,\n customer_email: d.customer_email,\n order_value: Number(d.order_value ?? 0),\n currency: d.currency,\n refund_count_30d: Number(d.refund_count_30d ?? 0),\n refund_count_lifetime: Number(d.refund_count_lifetime ?? 0),\n account_age_days: Number(d.account_age_days ?? 0),\n billing_country: d.billing_country,\n shipping_country: d.shipping_country,\n country_mismatch: d.billing_country !== d.shipping_country,\n risk_processed: d.risk_processed,\n rowNumber: Number(d.rowNumber),\n source: d.source,\n triggeredAt: d.triggeredAt\n};\n"
},
"typeVersion": 2
},
{
"id": "24c94632-0ff1-4dbb-9016-8cb3a443a08b",
"name": "Parse AI Output",
"type": "n8n-nodes-base.code",
"position": [
3296,
3184
],
"parameters": {
"mode": "runOnceForEachItem",
"jsCode": "let aiRaw;\nlet ai;\n\n// 1\ufe0f\u20e3 Extract AI response\nconst aiText = $json.output?.[0]?.content?.[0]?.text;\nif (!aiText) {\n throw new Error('AI response missing');\n}\n\naiRaw = aiText\n .replace(/```json/gi, '')\n .replace(/```/g, '')\n .trim();\n\nai = JSON.parse(aiRaw);\n\n// 2\ufe0f\u20e3 Normalize AI fields\nconst riskLevel = (\n ai.risk_level ||\n ai.risk_class ||\n ai.risk_classification ||\n ''\n).toUpperCase();\n\nconst drivers =\n ai.key_risk_drivers ||\n ai.drivers ||\n [];\n\n// 3\ufe0f\u20e3 Get ORIGINAL item using paired index\nconst original = $items(\"Normalize Data\")[0].json;\n\n// 4\ufe0f\u20e3 Return merged object\nreturn {\n // \ud83d\udd39 ORIGINAL DATA\n order_id: original.order_id,\n customer_email: original.customer_email,\n rowNumber: original.rowNumber,\n order_value: `${original.order_value} ${original.currency}`,\n\n // \ud83d\udd39 AI OUTPUT\n risk_score: Number(ai.risk_score ?? 0),\n risk_level: riskLevel,\n risk_drivers: Array.isArray(drivers) ? drivers.join(', ') : '',\n recommendation_action:\n ai.recommended_action ||\n ai.recommended_preventive_action ||\n '',\n\n // \ud83d\udd39 META\n ai_model_used: 'openai'\n};\n"
},
"typeVersion": 2
},
{
"id": "9e86dafa-f911-471d-aceb-4bc771583208",
"name": "IF High Risk",
"type": "n8n-nodes-base.if",
"position": [
4032,
3168
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 1,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "64952035-93fa-459a-9478-08b851767e4d",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{$json.risk_level}}",
"rightValue": "HIGH"
}
]
}
},
"typeVersion": 2
},
{
"id": "11299f52-3b08-4dfd-914d-8f1b66aab0f9",
"name": "Email Finance",
"type": "n8n-nodes-base.gmail",
"position": [
4464,
3072
],
"parameters": {
"message": "=<p><strong>High Refund / Chargeback Risk Detected</strong></p> <p> The following transaction has been flagged as <strong>HIGH RISK</strong> by the Smart Refund Risk Detector. </p> <hr> <p> <strong>Order ID:</strong> {{ $('Log Result').item.json.order_id }}<br> <strong>Customer Email:</strong> {{ $('Log Result').item.json.customer_email }}<br> <strong>Order Value:</strong> {{ $('Normalize Data').item.json.order_value }}{{ $('Normalize Data').item.json.currency }}<br> <strong>Risk Score:</strong> {{ $('IF High Risk').item.json.risk_score }} / 100<br> <strong>Risk Level:</strong> {{ $('IF High Risk').item.json.risk_level }} </p> <p> <strong>Key Risk Drivers:</strong><br> {{ $('IF High Risk').item.json.risk_drivers }}</p> <p> <strong>Recommended Action:</strong><br> {{ $('IF High Risk').item.json.recommendation_action }} </p> <hr> <p style=\"color: #6b7280; font-size: 12px;\"> Generated automatically by Smart Refund Risk Detector (n8n)<br> Evaluated at {{new Date().toISOString()}} </p>",
"subject": "=\ud83d\udea8 High Refund / Chargeback Risk \u2013 Order {{ $('Parse AI Output').item.json.order_id }}",
"additionalFields": {
"ccList": [
"user@example.com"
],
"toList": [
"user@example.com"
]
}
},
"typeVersion": 1
},
{
"id": "346181e4-83cf-4298-a52b-2d0a059ab2b6",
"name": "Log Result",
"type": "n8n-nodes-base.googleSheets",
"position": [
3664,
3056
],
"parameters": {
"columns": {
"value": {
"order_id": "={{ $json.order_id }}",
"logged_at": "={{ (() => { const d = new Date(Date.now() + (5*60+30)*60000); const p = n => String(n).padStart(2,'0'); return `${p(d.getDate())}-${p(d.getMonth()+1)}-${String(d.getFullYear()).slice(-2)} ${p(d.getHours())}:${p(d.getMinutes())}:${p(d.getSeconds())} IST`; })() }}\n",
"risk_level": "={{ $json.risk_level }}",
"risk_score": "={{ $json.risk_score }}",
"risk_drivers": "={{ $json.risk_drivers }}",
"customer_email": "={{ $json.customer_email }}",
"recommendation_action": "={{ $json.recommendation_action }}"
},
"schema": [
{
"id": "log_id",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "log_id",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "logged_at",
"type": "string",
"display": true,
"required": false,
"displayName": "logged_at",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "order_id",
"type": "string",
"display": true,
"required": false,
"displayName": "order_id",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "customer_email",
"type": "string",
"display": true,
"required": false,
"displayName": "customer_email",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "risk_score",
"type": "string",
"display": true,
"required": false,
"displayName": "risk_score",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "risk_level",
"type": "string",
"display": true,
"required": false,
"displayName": "risk_level",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "risk_drivers",
"type": "string",
"display": true,
"required": false,
"displayName": "risk_drivers",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "recommendation_action",
"type": "string",
"display": true,
"required": false,
"displayName": "recommendation_action",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "ai_model_used",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "ai_model_used",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "append",
"sheetName": {
"__rl": true,
"mode": "list",
"value": 1528462871,
"cachedResultUrl": "",
"cachedResultName": ""
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "",
"cachedResultUrl": "",
"cachedResultName": ""
}
},
"typeVersion": 4
},
{
"id": "7c520ebd-ec1f-4a68-8b78-d1244b2167f2",
"name": "Update row in sheet",
"type": "n8n-nodes-base.googleSheets",
"position": [
4864,
3184
],
"parameters": {
"columns": {
"value": {
"row_number": "={{ $('Normalize Data').item.json.rowNumber }}",
"risk_processed": "TRUE"
},
"schema": [
{
"id": "order_id",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "order_id",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "customer_email",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "customer_email",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "order_value",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "order_value",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "currency",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "currency",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "refund_count_30d",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "refund_count_30d",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "refund_count_lifetime",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "refund_count_lifetime",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "account_age_days",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "account_age_days",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "billing_country",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "billing_country",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "shipping_country",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "shipping_country",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "created_at",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "created_at",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "risk_processed",
"type": "string",
"display": true,
"required": false,
"displayName": "risk_processed",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "row_number",
"type": "number",
"display": true,
"removed": false,
"readOnly": true,
"required": false,
"displayName": "row_number",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [
"row_number"
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "update",
"sheetName": {
"__rl": true,
"mode": "list",
"value": "your-sheet-value",
"cachedResultUrl": "",
"cachedResultName": ""
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "",
"cachedResultUrl": "",
"cachedResultName": ""
}
},
"typeVersion": 4.7
},
{
"id": "9e40a771-ab28-46d8-aceb-b85631594d85",
"name": "DEDUPE CHECK",
"type": "n8n-nodes-base.if",
"position": [
2240,
3184
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 3,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "fc6221f6-d207-477f-9883-747f46bdad7c",
"operator": {
"type": "string",
"operation": "equals"
},
"leftValue": "={{ String($json.risk_processed).toUpperCase() }}",
"rightValue": "FALSE"
}
]
}
},
"typeVersion": 2.3
},
{
"id": "34cb1516-8de5-458d-9e12-09857222a2e3",
"name": "Loop Over Items",
"type": "n8n-nodes-base.splitInBatches",
"position": [
1936,
3168
],
"parameters": {
"options": {}
},
"typeVersion": 3
},
{
"id": "2849660f-3a62-4b38-89f5-0448132a87ab",
"name": "Split Out",
"type": "n8n-nodes-base.splitOut",
"position": [
1616,
3168
],
"parameters": {
"options": {},
"fieldToSplitOut": "=body"
},
"typeVersion": 1
},
{
"id": "e7d38b40-569b-4adf-b6f0-87747e7823ea",
"name": "Sticky Note9",
"type": "n8n-nodes-base.stickyNote",
"position": [
3168,
2768
],
"parameters": {
"color": 7,
"width": 304,
"height": 928,
"content": "### Step 5 \u2013 Parse AI Output\n\nCleans and parses the AI response.\n"
},
"typeVersion": 1
},
{
"id": "e833e245-eb25-4978-b201-b8344158e4b8",
"name": "Sticky Note10",
"type": "n8n-nodes-base.stickyNote",
"position": [
2752,
2768
],
"parameters": {
"color": 7,
"width": 384,
"height": 928,
"content": "### Step 4 \u2013 Message a model (OpenAI)\n\nSends normalized transaction data to OpenAI.\n\n"
},
"typeVersion": 1
},
{
"id": "e25bb684-034f-449e-8fb5-b4cc03fd3a47",
"name": "Sticky Note12",
"type": "n8n-nodes-base.stickyNote",
"position": [
1248,
2768
],
"parameters": {
"color": 7,
"width": 864,
"height": 928,
"content": "### Step 1 - Ingest & Prepare Data\n\n**Webhook + Split Out + Loop Over Items**\nReceives order data (single or bulk), splits arrays, and processes each transaction individually."
},
"typeVersion": 1
},
{
"id": "144840ed-0076-4485-8a46-89da035116d2",
"name": "Sticky Note15",
"type": "n8n-nodes-base.stickyNote",
"position": [
2176,
2768
],
"parameters": {
"color": 7,
"height": 928,
"content": "### Step 2 \u2013 DEDUPE CHECK\n\nChecks whether the transaction has already been processed.\nOrders marked as `risk_processed = TRUE` are skipped."
},
"typeVersion": 1
},
{
"id": "8fba03a3-3e9d-4709-865b-04669818ddaf",
"name": "Sticky Note17",
"type": "n8n-nodes-base.stickyNote",
"position": [
4688,
2768
],
"parameters": {
"color": 7,
"width": 320,
"height": 944,
"content": "### Step 8 \u2013 Mark as Processed\n\nUpdates the source row to ensure the transaction is not reprocessed."
},
"typeVersion": 1
},
{
"id": "8ae1d958-892c-409c-9d93-5f27351f1876",
"name": "Message a model2",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
2832,
3184
],
"parameters": {
"modelId": {
"__rl": true,
"mode": "list",
"value": "chatgpt-4o-latest",
"cachedResultName": "CHATGPT-4O-LATEST"
},
"options": {},
"responses": {
"values": [
{
"role": "system",
"content": "=You are a senior Risk Analytics Specialist supporting an enterprise e-commerce platform.\n\nYour responsibility is to assess refund and chargeback risk using transaction-level data, customer behavior patterns, and conservative professional judgment.\n\nYou must:\n- Apply risk assessment practices consistent with large-scale e-commerce and payment operations\n- Avoid over-flagging legitimate customer activity\n- Ensure decisions are explainable, proportional, and consistent\n- Follow the requested JSON schema strictly\n- Always return valid, machine-readable JSON suitable for automated downstream processing\n"
},
{
"content": "=Assess the refund or chargeback risk for the transaction described below.\n\nEvaluation standards:\n- Assign a numeric risk score as an INTEGER between 0 and 100 (digits only, no words, no decimals)\n- Classify risk strictly as one of: LOW, MEDIUM, HIGH (uppercase only)\n- Use conservative scoring aligned with enterprise fraud, refunds, and chargeback policies\n- A single refund event alone must NOT result in a HIGH risk classification\n- Country mismatch alone must NOT result in a HIGH risk classification\n- Assign HIGH risk ONLY when multiple strong indicators are present\n- Recommend ONE clear, concise, actionable preventive step suitable for operations or finance teams\n\nTransaction details:\nOrder ID: {{$json.order_id}}\nOrder Value: {{$json.order_value}} {{$json.currency}}\nRefunds in last 30 days: {{$json.refund_count_30d}}\nRefunds lifetime: {{$json.refund_count_lifetime}}\nAccount age (days): {{$json.account_age_days}}\nBilling country: {{$json.billing_country}}\nShipping country: {{$json.shipping_country}}\nCountry mismatch: {{$json.billing_country !== $json.shipping_country}}\n\nSTRICT OUTPUT RULES (MANDATORY):\n- Output ONLY a valid JSON object\n- Do NOT include markdown, code fences, comments, or explanatory text\n- Do NOT spell numbers using words (e.g., \"forty five\" is INVALID)\n- All numeric fields MUST be numbers (e.g., 45)\n- Use double quotes for all keys and string values\n- Use the exact structure below with NO extra fields\n\nRequired JSON structure:\n{\n \"risk_score\": 45,\n \"risk_level\": \"LOW\",\n \"key_risk_drivers\": [\"example driver\"],\n \"recommended_preventive_action\": \"example action\"\n}\n"
}
]
},
"builtInTools": {}
},
"typeVersion": 2.1
},
{
"id": "25df1e67-074a-45ac-ae71-2ab7e9a9402d",
"name": "Discord1",
"type": "n8n-nodes-base.discord",
"position": [
4256,
3072
],
"parameters": {
"content": "=\ud83d\udea8 HIGH REFUND / CHARGEBACK RISK DETECTED\n\n\ud83e\uddfe Order ID: {{ $json.order_id }}\n\ud83d\udce7 Customer: {{ $json.customer_email }}\n\ud83d\udcb0 Order Value: {{ $json.order_value }}\n\ud83d\udcca Risk Score: {{$json.risk_score}} / 100\n\u26a0\ufe0f Risk Level: {{$json.risk_level}}\n\n\ud83e\udde0 Key Risk Drivers:\n{{$json.risk_drivers}}\n\n\u2705 Recommended Action:\n{{ $json.recommendation_action }}\n\n\u23f1\ufe0f Evaluated at: {{new Date().toISOString()}}\n",
"options": {},
"authentication": "webhook"
},
"typeVersion": 2
},
{
"id": "2f882148-e21e-4bf1-9b80-a2afc9f0b412",
"name": "Webhook1",
"type": "n8n-nodes-base.webhook",
"position": [
1296,
3168
],
"parameters": {
"path": "refund-risk",
"options": {},
"httpMethod": "POST"
},
"typeVersion": 2.1
},
{
"id": "b06fc2b7-7cc2-4934-b0fb-43c476f4acc3",
"name": "Sticky Note11",
"type": "n8n-nodes-base.stickyNote",
"position": [
3936,
2768
],
"parameters": {
"color": 7,
"width": 720,
"height": 944,
"content": "### Step 7 - Risk Decision & Alerts\n\nTriggers alerts only when risk level is HIGH and notifies relevant teams.\n\n"
},
"typeVersion": 1
},
{
"id": "dc13b34f-b522-4eb9-b93d-6f0a4616bb58",
"name": "Sticky Note13",
"type": "n8n-nodes-base.stickyNote",
"position": [
480,
2768
],
"parameters": {
"width": 736,
"height": 928,
"content": "## Smart Refund Risk Detector\n\n### How it works\nThis workflow automatically evaluates refund and chargeback risk for incoming e-commerce orders. Orders are received via webhook, processed individually, and checked to avoid duplicate analysis. Each transaction is normalized and sent to OpenAI for structured risk assessment. The AI returns a numeric risk score, risk level (LOW, MEDIUM, HIGH), key drivers, and a recommended preventive action.\n\nAll results are logged to Google Sheets for auditing and reporting. When a transaction is classified as HIGH risk, the workflow sends real-time alerts to Discord and email so finance or operations teams can act immediately. Finally, the source record is updated to ensure the order is not reprocessed.\n\n### Setup steps\n1. Configure the Webhook node and connect your data source.\n2. Connect OpenAI, Google Sheets, Gmail, and Discord credentials.\n3. Map sheet columns correctly (including row_number and risk_processed).\n4. Activate the workflow and send a test order payload.\n\n### Customization tips\n- Adjust alert channels or risk thresholds as needed.\n- Extend logging fields for analytics or dashboards.\n"
},
"typeVersion": 1
},
{
"id": "9140beeb-7e4f-4f06-8aa7-0296aa8a930b",
"name": "Sticky Note14",
"type": "n8n-nodes-base.stickyNote",
"position": [
3520,
2768
],
"parameters": {
"color": 7,
"width": 384,
"height": 944,
"content": "### Step 6 \u2013 Log Result (Google Sheets)\n\nAppends the evaluation result to a logging sheet.\nIncludes timestamp, order details, risk level, drivers, and recommended action."
},
"typeVersion": 1
},
{
"id": "80819930-db40-4f30-8b78-13f4613e1720",
"name": "Sticky Note16",
"type": "n8n-nodes-base.stickyNote",
"position": [
2464,
2768
],
"parameters": {
"color": 7,
"height": 928,
"content": "\n### Step 3 \u2013 Normalize Data\n\nValidates required fields and normalizes incoming data:\n\n"
},
"typeVersion": 1
}
],
"connections": {
"Discord1": {
"main": [
[
{
"node": "Email Finance",
"type": "main",
"index": 0
}
]
]
},
"Webhook1": {
"main": [
[
{
"node": "Split Out",
"type": "main",
"index": 0
}
]
]
},
"Split Out": {
"main": [
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"Log Result": {
"main": [
[
{
"node": "IF High Risk",
"type": "main",
"index": 0
}
]
]
},
"DEDUPE CHECK": {
"main": [
[
{
"node": "Normalize Data",
"type": "main",
"index": 0
}
]
]
},
"IF High Risk": {
"main": [
[
{
"node": "Discord1",
"type": "main",
"index": 0
}
],
[
{
"node": "Update row in sheet",
"type": "main",
"index": 0
}
]
]
},
"Email Finance": {
"main": [
[
{
"node": "Update row in sheet",
"type": "main",
"index": 0
}
]
]
},
"Normalize Data": {
"main": [
[
{
"node": "Message a model2",
"type": "main",
"index": 0
}
]
]
},
"Loop Over Items": {
"main": [
[],
[
{
"node": "DEDUPE CHECK",
"type": "main",
"index": 0
}
]
]
},
"Parse AI Output": {
"main": [
[
{
"node": "Log Result",
"type": "main",
"index": 0
},
{
"node": "IF High Risk",
"type": "main",
"index": 0
}
]
]
},
"Message a model2": {
"main": [
[
{
"node": "Parse AI Output",
"type": "main",
"index": 0
}
]
]
},
"Update row in sheet": {
"main": [
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
}
}
}
Pro
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
About this workflow
This workflow automatically evaluates refund and chargeback risk for incoming e-commerce orders. Orders are received via a webhook, processed individually, and checked to avoid duplicate analysis. Each transaction is normalized and sent to OpenAI for structured risk scoring and…
Source: https://n8n.io/workflows/12576/ — original creator credit. Request a take-down →
Related workflows
Workflows that share integrations, category, or trigger type with this one. All free to copy and import.
Instantly map all internal URLs, perform AI-powered (ChatGPT) analysis, and deliver results in HTML via webhook, Google Sheets, or email. All from your own n8n instance!
OpenAI, HTTP Request, XML +3
Watch on Youtube▶️
HTTP Request, Email Send, Google Sheets +3
This is for creators who run Patreon and/or Kofi pages, support donations and want to automate their communication process.
Gmail, Google Sheets, OpenAI
Imagine your recruitment process transformed into a sleek, efficient, AI-powered assembly line for talent. That's exactly what this system creates. It automates the heavy lifting, allowing your human
Google Sheets, OpenAI, Gmail +2
Transform customer feedback into actionable insights automatically with AI analysis, professional PDF reports, personalized emails, and real-time team notifications. Overview Features Demo Prerequisit
OpenAI, Gmail, Google Sheets +2