If you build software for retailers — POS systems, ecommerce platforms, loyalty programs, marketplace tech — you already know the compliance stack is sprawling.
What you may not have mapped yet is how cloud iPaaS platforms like Zapier and Make amplify your exposure in ways that don't show up until an audit, an FTC investigation, or a PCI DSS assessment.
This article covers five n8n automations your engineering and ops teams can deploy today — import-ready JSON included.
The Regulation Stack for RetailTech SaaS Vendors
| Regulation | Scope | Fastest Clock |
|---|---|---|
| PCI DSS v4.0 Req 12.8 (TPSP) | Any third party that could impact CDE security | IMMEDIATE on card data breach |
| CCPA/CPRA §1798.100 | Consumer data right requests from CA residents | 45 business days |
| ADA Title III DOJ Final Rule (June 2025) | Website and app accessibility for places of public accommodation | 72h to acknowledge DOJ complaint |
| FTC §5 Unfair/Deceptive Acts | Auto-renewal, dark patterns, misleading subscription terms | IMMEDIATE on investigation initiation |
| NY SHIELD Act | Data breach notification for NY residents | 30 days from breach discovery |
| State AG CIDs | Civil Investigative Demands from state attorneys general | IMMEDIATE — legal hold required |
The PCI DSS v4.0 Req 12.8 Problem Most RetailTech SaaS Vendors Miss
Requirement 12.8 requires annual written agreements and documented risk assessments for all third-party service providers (TPSPs) that could impact the security of the CDE — not just those that store card numbers.
If your platform automation routes order events, customer PII, or payment metadata through Zapier, Make, or any cloud iPaaS — that platform is a TPSP. It must be assessed annually. Its security posture becomes part of your PCI audit surface.
Self-hosted n8n inside your cloud VPC with a BAA-equivalent agreement keeps the automation boundary inside your assessed environment.
ADA Title III DOJ Final Rule — June 24, 2025
The DOJ's final rule under 28 CFR Part 36 establishes WCAG 2.1 Level AA as the legal standard for retail website accessibility. RetailTech SaaS vendors whose platforms serve places of public accommodation (which includes virtually all retail businesses) need audit trails demonstrating compliance and rapid response to DOJ complaints.
7 RetailTech Customer Tiers
These workflows use tier flags to inject compliance-specific context:
| Tier | Key Compliance Driver |
|---|---|
ENTERPRISE_RETAIL_PLATFORM |
PCI DSS v4.0 Req 12.8 TPSP assessment + SOC2 Type II |
MIDMARKET_ECOMMERCE_SAAS |
ADA Title III DOJ June 2025 + CCPA/CPRA DSR automation |
POS_SAAS_VENDOR |
PCI DSS v4.0 Req 8.6 MFA for CDE access + card data breach clock |
MARKETPLACE_TECH_PLATFORM |
FTC §5 marketplace seller liability + CCPA opt-out flows |
LOYALTY_REWARDS_SAAS_VENDOR |
CCPA §1798.100 DSR for loyalty points + state auto-renewal laws |
RETAIL_ANALYTICS_SAAS |
CCPA behavioral data subject-right scope + CPRA sensitive data rules |
RETAILTECH_STARTUP |
PCI SAQ scope determination before connecting payment automation |
7 compliance flags: PCI_DSS_V4_SUBJECT / CCPA_CPRA_APPLICABLE / FTC_SEC5_DARK_PATTERN_SUBJECT / ADA_TITLE_III_SUBJECT / NY_SHIELD_ACT_APPLICABLE / STATE_BREACH_NOTIFICATION_APPLICABLE / SOC2_REQUIRED
Workflow 1: Tier-Segmented Customer Onboarding Drip
Detects tier and compliance flags on signup. Day 0 email injects PCI DSS TPSP context for applicable accounts. Day 4 email surfaces Req 12.8 documentation reminder. Day 8 highlights ADA audit trail export for relevant tiers.
{
"name": "RetailTech SaaS \u2013 Customer Onboarding Drip",
"nodes": [
{
"parameters": {
"pollTimes": {
"item": [
{
"mode": "everyMinute"
}
]
},
"documentId": {
"__rl": true,
"value": "YOUR_SHEET_ID",
"mode": "id"
},
"sheetName": {
"__rl": true,
"value": "Customers",
"mode": "name"
},
"options": {}
},
"id": "node-1",
"name": "New Customer Row",
"type": "n8n-nodes-base.googleSheetsTrigger",
"position": [
200,
300
],
"typeVersion": 4
},
{
"parameters": {
"jsCode": "const row = $input.first().json;\nconst tier = row.customer_tier || 'RETAILTECH_STARTUP';\nconst flags = (row.compliance_flags || '').split(',').map(f => f.trim());\n\nconst tierMsg = {\n ENTERPRISE_RETAIL_PLATFORM: 'Your PCI DSS v4.0 Req 12.8 TPSP assessment now covers every third-party system in your payment data flow \u2014 including automation platforms.',\n MIDMARKET_ECOMMERCE_SAAS: 'ADA Title III DOJ Final Rule (June 2025) applies to your checkout and account pages \u2014 accessibility audit trails must be preserved.',\n POS_SAAS_VENDOR: 'PCI DSS v4.0 Req 8.6 MFA now extends to all CDE access paths, including API-driven automation flows.',\n MARKETPLACE_TECH_PLATFORM: 'FTC \u00a75 marketplace seller liability + PCI DSS Req 12.8 TPSP scope \u2014 automation logs may be discoverable in FTC enforcement.',\n LOYALTY_REWARDS_SAAS_VENDOR: 'CCPA \u00a71798.100 DSR automation + state auto-renewal disclosure laws \u2014 loyalty point data is CCPA-covered consumer data.',\n RETAIL_ANALYTICS_SAAS: 'CCPA/CPRA \u00a71798.100 consumer right-to-delete \u2014 behavioral analytics data in cloud iPaaS expands your DSR response obligation.',\n RETAILTECH_STARTUP: 'Determine your PCI DSS SAQ type (A, A-EP, or D) before connecting any payment automation \u2014 scope creep starts on day one.'\n};\n\nreturn [{json: {\n ...row,\n tier,\n tier_message: tierMsg[tier] || tierMsg.RETAILTECH_STARTUP,\n pci_subject: flags.includes('PCI_DSS_V4_SUBJECT'),\n ada_subject: flags.includes('ADA_TITLE_III_SUBJECT'),\n ccpa_subject: flags.includes('CCPA_CPRA_APPLICABLE'),\n day: 0\n}}];\n"
},
"id": "node-2",
"name": "Classify Tier & Flags",
"type": "n8n-nodes-base.code",
"position": [
420,
300
],
"typeVersion": 2
},
{
"parameters": {
"sendTo": "={{ $json.contact_email }}",
"subject": "Welcome to {{ $json.product_name }} \u2014 your compliance automation starts here",
"message": "Hi {{ $json.contact_name }},\n\nWelcome aboard. {{ $json.tier_message }}\n\nYour onboarding specialist will reach out within one business day.\n\nBest,\nThe {{ $json.product_name }} Team",
"options": {}
},
"id": "node-3",
"name": "Day 0 Welcome Email",
"type": "n8n-nodes-base.gmail",
"position": [
640,
300
],
"typeVersion": 2
},
{
"parameters": {
"unit": "days",
"amount": 3
},
"id": "node-4",
"name": "Wait 3 Days",
"type": "n8n-nodes-base.wait",
"position": [
860,
300
],
"typeVersion": 1
},
{
"parameters": {
"sendTo": "={{ $json.contact_email }}",
"subject": "Day 4: Connect your first integration",
"message": "Hi {{ $json.contact_name }},\n\nReady to connect your first data source? Our integration wizard walks you through it in under 10 minutes.\n\n{{ $json.pci_subject ? 'Important: keep your PCI DSS TPSP documentation up to date as you add integrations (Req 12.8).' : '' }}\n\nNeed help? Reply to this email or book a call.\n\nBest,\nThe {{ $json.product_name }} Team",
"options": {}
},
"id": "node-5",
"name": "Day 4 Integration Email",
"type": "n8n-nodes-base.gmail",
"position": [
1080,
300
],
"typeVersion": 2
},
{
"parameters": {
"unit": "days",
"amount": 4
},
"id": "node-6",
"name": "Wait 4 Days",
"type": "n8n-nodes-base.wait",
"position": [
1300,
300
],
"typeVersion": 1
},
{
"parameters": {
"sendTo": "={{ $json.contact_email }}",
"subject": "Day 8: Three features your team will use every day",
"message": "Hi {{ $json.contact_name }},\n\nHere are the three features our top customers use daily:\n\n1. Automated compliance deadline tracking\n2. Real-time API health monitoring\n3. Weekly KPI reports to leadership\n\n{{ $json.ada_subject ? 'Pro tip: use our ADA Title III accessibility audit trail export for your June 2025 DOJ deadline documentation.' : '' }}\n\nExplore them in your dashboard.\n\nBest,\nThe {{ $json.product_name }} Team",
"options": {}
},
"id": "node-7",
"name": "Day 8 Feature Email",
"type": "n8n-nodes-base.gmail",
"position": [
1520,
300
],
"typeVersion": 2
},
{
"parameters": {
"documentId": {
"__rl": true,
"value": "YOUR_SHEET_ID",
"mode": "id"
},
"sheetName": {
"__rl": true,
"value": "OnboardingLog",
"mode": "name"
},
"columns": {
"mappingMode": "defineBelow",
"value": {
"customer_id": "={{ $json.customer_id }}",
"tier": "={{ $json.tier }}",
"onboarding_completed_at": "={{ $now.toISO() }}",
"status": "COMPLETE"
}
},
"options": {}
},
"id": "node-8",
"name": "Log to Sheets",
"type": "n8n-nodes-base.googleSheets",
"position": [
1740,
300
],
"typeVersion": 4
}
],
"connections": {
"New Customer Row": {
"main": [
[
{
"node": "Classify Tier & Flags",
"type": "main",
"index": 0
}
]
]
},
"Classify Tier & Flags": {
"main": [
[
{
"node": "Day 0 Welcome Email",
"type": "main",
"index": 0
}
]
]
},
"Day 0 Welcome Email": {
"main": [
[
{
"node": "Wait 3 Days",
"type": "main",
"index": 0
}
]
]
},
"Wait 3 Days": {
"main": [
[
{
"node": "Day 4 Integration Email",
"type": "main",
"index": 0
}
]
]
},
"Day 4 Integration Email": {
"main": [
[
{
"node": "Wait 4 Days",
"type": "main",
"index": 0
}
]
]
},
"Wait 4 Days": {
"main": [
[
{
"node": "Day 8 Feature Email",
"type": "main",
"index": 0
}
]
]
},
"Day 8 Feature Email": {
"main": [
[
{
"node": "Log to Sheets",
"type": "main",
"index": 0
}
]
]
}
}
}
Setup: populate compliance_flags column in your Customers Sheet with comma-separated flags per account. The workflow fires on new rows and routes tier-specific messaging automatically.
Workflow 2: PCI DSS v4.0 / CCPA / ADA / FTC Compliance Deadline Tracker
Reads a Google Sheet with all your compliance deadlines. Runs daily. Classifies each deadline as OVERDUE / CRITICAL / URGENT / WARNING / NOTICE and routes alerts to Slack and compliance owners.
12 deadline types tracked:
| Deadline | Regulation | Clock |
|---|---|---|
PCI_DSS_V4_ANNUAL_AOC_SUBMISSION |
PCI DSS v4.0 §12.1 | Annual |
PCI_DSS_V4_QUARTERLY_ASV_SCAN |
PCI DSS v4.0 §11.3 | Quarterly |
PCI_DSS_V4_PENETRATION_TEST_ANNUAL |
PCI DSS v4.0 §11.4 | Annual |
PCI_DSS_V4_TPSP_ASSESSMENT_ANNUAL |
PCI DSS v4.0 Req 12.8 | Annual |
CCPA_CPRA_PRIVACY_POLICY_ANNUAL_REVIEW |
CCPA §1798.130 | Annual |
CCPA_DSR_45_BUSINESS_DAY_DEADLINE |
CCPA §1798.100 | 45 business days (rolling) |
ADA_TITLE_III_ACCESSIBILITY_AUDIT_ANNUAL |
28 CFR Part 36 DOJ Rule 2025 | Annual |
ADA_TITLE_III_DOJ_REMEDIATION_DEADLINE |
DOJ complaint order | Per consent decree |
FTC_SEC5_AUTO_RENEWAL_COMPLIANCE_REVIEW |
FTC §5 + state auto-renewal laws | Annual |
NY_SHIELD_ACT_BREACH_NOTIFICATION_30_DAY |
NY SHIELD Act §899-bb | 30 days from discovery |
SOC2_TYPE2_ANNUAL_RENEWAL |
SOC2 CC6.1 | Annual |
ANNUAL_PENTEST |
PCI DSS v4.0 §11.4 / SOC2 | Annual |
{
"name": "RetailTech SaaS \u2013 PCI DSS v4.0 / CCPA / ADA / FTC Deadline Tracker",
"nodes": [
{
"parameters": {
"rule": {
"interval": [
{
"field": "hours",
"hoursInterval": 24
}
]
}
},
"id": "dt-1",
"name": "Daily 8AM Trigger",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
200,
300
],
"typeVersion": 1
},
{
"parameters": {
"documentId": {
"__rl": true,
"value": "YOUR_SHEET_ID",
"mode": "id"
},
"sheetName": {
"__rl": true,
"value": "ComplianceDeadlines",
"mode": "name"
},
"options": {}
},
"id": "dt-2",
"name": "Read Deadlines",
"type": "n8n-nodes-base.googleSheets",
"position": [
420,
300
],
"typeVersion": 4
},
{
"parameters": {
"jsCode": "const today = new Date();\nconst items = $input.all();\nconst alerts = [];\n\nfor (const item of items) {\n const row = item.json;\n const due = new Date(row.due_date);\n const daysLeft = Math.ceil((due - today) / 86400000);\n let severity = null;\n\n if (daysLeft < 0) severity = 'OVERDUE';\n else if (daysLeft <= 3) severity = 'CRITICAL';\n else if (daysLeft <= 14) severity = 'URGENT';\n else if (daysLeft <= 30) severity = 'WARNING';\n else if (daysLeft <= 60) severity = 'NOTICE';\n\n if (severity) {\n alerts.push({json: {...row, days_left: daysLeft, severity}});\n }\n}\n\n/* Deadline types tracked:\n PCI_DSS_V4_ANNUAL_AOC_SUBMISSION\n PCI_DSS_V4_QUARTERLY_ASV_SCAN\n PCI_DSS_V4_PENETRATION_TEST_ANNUAL\n PCI_DSS_V4_TPSP_ASSESSMENT_ANNUAL (Req 12.8)\n CCPA_CPRA_PRIVACY_POLICY_ANNUAL_REVIEW\n CCPA_DSR_45_BUSINESS_DAY_DEADLINE (rolling per request)\n ADA_TITLE_III_ACCESSIBILITY_AUDIT_ANNUAL\n ADA_TITLE_III_DOJ_REMEDIATION_DEADLINE\n FTC_SEC5_AUTO_RENEWAL_COMPLIANCE_REVIEW\n NY_SHIELD_ACT_BREACH_NOTIFICATION_30_DAY\n SOC2_TYPE2_ANNUAL_RENEWAL\n ANNUAL_PENTEST\n*/\n\nreturn alerts.length > 0 ? alerts : [{json: {severity: 'NONE', message: 'No deadlines require action today'}}];\n"
},
"id": "dt-3",
"name": "Classify Deadlines",
"type": "n8n-nodes-base.code",
"position": [
640,
300
],
"typeVersion": 2
},
{
"parameters": {
"rules": {
"rules": [
{
"conditions": {
"options": {
"caseSensitive": true
},
"conditions": [
{
"leftValue": "={{ $json.severity }}",
"rightValue": "OVERDUE",
"operator": {
"type": "string",
"operation": "equals"
}
}
]
},
"renameOutput": true,
"outputKey": "overdue"
},
{
"conditions": {
"options": {
"caseSensitive": true
},
"conditions": [
{
"leftValue": "={{ $json.severity }}",
"rightValue": "CRITICAL",
"operator": {
"type": "string",
"operation": "equals"
}
}
]
},
"renameOutput": true,
"outputKey": "critical"
},
{
"conditions": {
"options": {
"caseSensitive": true
},
"conditions": [
{
"leftValue": "={{ $json.severity }}",
"rightValue": "URGENT",
"operator": {
"type": "string",
"operation": "equals"
}
}
]
},
"renameOutput": true,
"outputKey": "urgent"
}
]
}
},
"id": "dt-4",
"name": "Route by Severity",
"type": "n8n-nodes-base.switch",
"position": [
860,
300
],
"typeVersion": 3
},
{
"parameters": {
"select": "channel",
"channelId": {
"__rl": true,
"value": "#compliance-critical",
"mode": "name"
},
"text": "\ud83d\udea8 {{ $json.severity }}: {{ $json.deadline_type }} \u2014 {{ $json.days_left < 0 ? Math.abs($json.days_left) + ' days OVERDUE' : $json.days_left + ' days remaining' }}\nOwner: {{ $json.owner_email }}\nRef: {{ $json.regulation_reference }}",
"otherOptions": {}
},
"id": "dt-5",
"name": "Slack Critical Alert",
"type": "n8n-nodes-base.slack",
"position": [
1080,
200
],
"typeVersion": 2
},
{
"parameters": {
"sendTo": "={{ $json.owner_email }}",
"subject": "URGENT: {{ $json.deadline_type }} due in {{ $json.days_left }} days",
"message": "Action required: {{ $json.deadline_type }}\n\nDue date: {{ $json.due_date }}\nDays remaining: {{ $json.days_left }}\nRegulation: {{ $json.regulation_reference }}\n\nPlease complete this item or update the deadline in the compliance tracker.",
"options": {}
},
"id": "dt-6",
"name": "Email Compliance Owner",
"type": "n8n-nodes-base.gmail",
"position": [
1080,
400
],
"typeVersion": 2
}
],
"connections": {
"Daily 8AM Trigger": {
"main": [
[
{
"node": "Read Deadlines",
"type": "main",
"index": 0
}
]
]
},
"Read Deadlines": {
"main": [
[
{
"node": "Classify Deadlines",
"type": "main",
"index": 0
}
]
]
},
"Classify Deadlines": {
"main": [
[
{
"node": "Route by Severity",
"type": "main",
"index": 0
}
]
]
},
"Route by Severity": {
"main": [
[
{
"node": "Slack Critical Alert",
"type": "main",
"index": 0
}
],
[
{
"node": "Slack Critical Alert",
"type": "main",
"index": 0
}
],
[
{
"node": "Email Compliance Owner",
"type": "main",
"index": 0
}
]
]
}
}
}
Workflow 3: Retail API Health Monitor (15-Minute Polling)
Five endpoints — each annotated with its compliance relevance. Payment processing endpoint downtime is logged against PCI DSS Req 10.7. Loyalty platform degradation triggers CCPA DSR delay notice.
{
"name": "RetailTech SaaS \u2013 Retail API Health Monitor",
"nodes": [
{
"parameters": {
"rule": {
"interval": [
{
"field": "minutes",
"minutesInterval": 15
}
]
}
},
"id": "hm-1",
"name": "Every 15 Minutes",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
200,
300
],
"typeVersion": 1
},
{
"parameters": {
"url": "={{ $json.payment_processing_url }}",
"options": {
"timeout": 5000
}
},
"id": "hm-2",
"name": "Check payment_processing_api (PCI DSS CDE boundary \u2014 Req 10.7)",
"type": "n8n-nodes-base.httpRequest",
"position": [
420,
100
],
"typeVersion": 4
},
{
"parameters": {
"url": "={{ $json.inventory_mgmt_url }}",
"options": {
"timeout": 5000
}
},
"id": "hm-3",
"name": "Check inventory_mgmt_api (order accuracy SLA)",
"type": "n8n-nodes-base.httpRequest",
"position": [
420,
220
],
"typeVersion": 4
},
{
"parameters": {
"url": "={{ $json.loyalty_platform_url }}",
"options": {
"timeout": 5000
}
},
"id": "hm-4",
"name": "Check loyalty_platform_api (CCPA DSR data retention boundary)",
"type": "n8n-nodes-base.httpRequest",
"position": [
420,
340
],
"typeVersion": 4
},
{
"parameters": {
"url": "={{ $json.customer_data_platform_url }}",
"options": {
"timeout": 5000
}
},
"id": "hm-5",
"name": "Check customer_data_platform_api (CCPA \u00a71798.100 DSR impacting)",
"type": "n8n-nodes-base.httpRequest",
"position": [
420,
460
],
"typeVersion": 4
},
{
"parameters": {
"url": "={{ $json.analytics_api_url }}",
"options": {
"timeout": 5000
}
},
"id": "hm-6",
"name": "Check analytics_api (CCPA behavioral data subject-right scope)",
"type": "n8n-nodes-base.httpRequest",
"position": [
420,
580
],
"typeVersion": 4
},
{
"parameters": {
"jsCode": "const results = $input.all().map(item => {\n const r = item.json;\n const status = r.$response?.statusCode || 0;\n const latency = r.$response?.timings?.phases?.total || 9999;\n return {\n endpoint: r.$node?.name || 'unknown',\n status,\n latency_ms: latency,\n healthy: status >= 200 && status < 300 && latency < 2000\n };\n});\nconst issues = results.filter(r => !r.healthy);\nreturn issues.length > 0\n ? issues.map(i => ({json: {...i, alert: true}}))\n : [{json: {alert: false, message: 'All retail APIs healthy'}}];\n"
},
"id": "hm-7",
"name": "Detect Issues",
"type": "n8n-nodes-base.code",
"position": [
680,
340
],
"typeVersion": 2
},
{
"parameters": {
"conditions": {
"options": {},
"conditions": [
{
"leftValue": "={{ $json.alert }}",
"rightValue": true,
"operator": {
"type": "boolean",
"operation": "equals"
}
}
]
}
},
"id": "hm-8",
"name": "Has Issues?",
"type": "n8n-nodes-base.if",
"position": [
900,
340
],
"typeVersion": 2
},
{
"parameters": {
"select": "channel",
"channelId": {
"__rl": true,
"value": "#platform-ops",
"mode": "name"
},
"text": "\u26a0\ufe0f Retail API degraded: {{ $json.endpoint }}\nStatus: {{ $json.status }} | Latency: {{ $json.latency_ms }}ms\nNote: {{ $json.endpoint.includes('payment') ? 'PCI DSS Req 10.7 \u2014 log the detection time.' : $json.endpoint.includes('loyalty') ? 'CCPA DSR processing may be delayed.' : 'Investigate immediately.' }}",
"otherOptions": {}
},
"id": "hm-9",
"name": "Slack #platform-ops",
"type": "n8n-nodes-base.slack",
"position": [
1120,
260
],
"typeVersion": 2
},
{
"parameters": {
"documentId": {
"__rl": true,
"value": "YOUR_SHEET_ID",
"mode": "id"
},
"sheetName": {
"__rl": true,
"value": "SLALog",
"mode": "name"
},
"columns": {
"mappingMode": "defineBelow",
"value": {
"timestamp": "={{ $now.toISO() }}",
"endpoint": "={{ $json.endpoint }}",
"status": "={{ $json.status }}",
"latency_ms": "={{ $json.latency_ms }}",
"healthy": "={{ $json.alert ? 'false' : 'true' }}"
}
},
"options": {}
},
"id": "hm-10",
"name": "Log SLA Entry",
"type": "n8n-nodes-base.googleSheets",
"position": [
1120,
420
],
"typeVersion": 4
}
],
"connections": {
"Every 15 Minutes": {
"main": [
[
{
"node": "Check payment_processing_api (PCI DSS CDE boundary \u2014 Req 10.7)",
"type": "main",
"index": 0
},
{
"node": "Check inventory_mgmt_api (order accuracy SLA)",
"type": "main",
"index": 0
},
{
"node": "Check loyalty_platform_api (CCPA DSR data retention boundary)",
"type": "main",
"index": 0
},
{
"node": "Check customer_data_platform_api (CCPA \u00a71798.100 DSR impacting)",
"type": "main",
"index": 0
},
{
"node": "Check analytics_api (CCPA behavioral data subject-right scope)",
"type": "main",
"index": 0
}
]
]
},
"Check payment_processing_api (PCI DSS CDE boundary \u2014 Req 10.7)": {
"main": [
[
{
"node": "Detect Issues",
"type": "main",
"index": 0
}
]
]
},
"Check inventory_mgmt_api (order accuracy SLA)": {
"main": [
[
{
"node": "Detect Issues",
"type": "main",
"index": 0
}
]
]
},
"Check loyalty_platform_api (CCPA DSR data retention boundary)": {
"main": [
[
{
"node": "Detect Issues",
"type": "main",
"index": 0
}
]
]
},
"Check customer_data_platform_api (CCPA \u00a71798.100 DSR impacting)": {
"main": [
[
{
"node": "Detect Issues",
"type": "main",
"index": 0
}
]
]
},
"Check analytics_api (CCPA behavioral data subject-right scope)": {
"main": [
[
{
"node": "Detect Issues",
"type": "main",
"index": 0
}
]
]
},
"Detect Issues": {
"main": [
[
{
"node": "Has Issues?",
"type": "main",
"index": 0
}
]
]
},
"Has Issues?": {
"main": [
[
{
"node": "Slack #platform-ops",
"type": "main",
"index": 0
}
],
[
{
"node": "Log SLA Entry",
"type": "main",
"index": 0
}
]
]
}
}
}
Endpoint annotations:
-
payment_processing_api— PCI DSS CDE boundary (Req 10.7: log detection time) -
inventory_mgmt_api— order accuracy SLA -
loyalty_platform_api— CCPA DSR data retention boundary -
customer_data_platform_api— CCPA §1798.100 DSR impacting -
analytics_api— CCPA behavioral data subject-right scope
Workflow 4: Compliance Incident Pipeline
Webhook receives incident declarations. Classifies into 8 incident types. Routes to the correct Slack channel with SLA label. Emails escalation list. Logs to incident tracker with OPEN status.
8 incident types (fastest clock first):
| Incident Type | SLA | Fastest Clock |
|---|---|---|
PCI_DSS_CARD_DATA_BREACH |
IMMEDIATE | Card brand notification within 24h, PFI within 3d |
FTC_SEC5_INVESTIGATION_INITIATED |
IMMEDIATE | Legal hold — preserve all auto-renewal and marketing automation records |
STATE_AG_CID_RECEIVED |
IMMEDIATE | Legal hold — no records deleted after CID arrival |
LOYALTY_FRAUD_INCIDENT |
IMMEDIATE | Freeze affected accounts, preserve CCPA audit logs |
DATA_BREACH_CUSTOMER_PII |
72h | Multi-state breach notification pipeline |
ADA_TITLE_III_DOJ_COMPLAINT |
72h | Acknowledge complaint, preserve accessibility audit trail |
NY_SHIELD_DATA_BREACH_DETECTED |
30 days | Notify NY AG + affected residents |
CCPA_DSR_REQUEST_RECEIVED |
45 business days | Verify identity, fulfill deletion/access request |
{
"name": "RetailTech SaaS \u2013 Compliance Incident Pipeline",
"nodes": [
{
"parameters": {
"httpMethod": "POST",
"path": "retailtech-incident",
"options": {}
},
"id": "ip-1",
"name": "Incident Webhook",
"type": "n8n-nodes-base.webhook",
"position": [
200,
300
],
"typeVersion": 2,
"webhookId": "retailtech-incident-001"
},
{
"parameters": {
"jsCode": "const incident = $input.first().json;\nconst type = incident.incident_type;\n\nconst slaMap = {\n PCI_DSS_CARD_DATA_BREACH: { sla: 'IMMEDIATE', label: 'Card data breach \u2014 notify card brands within 24h, PCI forensic investigator within 3 days', channel: '#security-ops', escalate: ['ciso@company.com', 'cto@company.com'] },\n ADA_TITLE_III_DOJ_COMPLAINT: { sla: '72h initial response', label: 'ADA Title III DOJ complaint \u2014 acknowledge within 72h, preserve all accessibility audit logs', channel: '#compliance-legal', escalate: ['legal@company.com', 'cpo@company.com'] },\n CCPA_DSR_REQUEST_RECEIVED: { sla: '45 business days', label: 'CCPA \u00a71798.100 DSR request \u2014 verify identity, fulfill within 45 business days', channel: '#privacy-ops', escalate: ['privacy@company.com'] },\n FTC_SEC5_INVESTIGATION_INITIATED: { sla: 'IMMEDIATE', label: 'FTC \u00a75 inquiry \u2014 legal hold, preserve all marketing automation and auto-renewal flow records', channel: '#compliance-legal', escalate: ['legal@company.com', 'ceo@company.com'] },\n NY_SHIELD_DATA_BREACH_DETECTED: { sla: '30 days notification', label: 'NY SHIELD Act breach \u2014 notify AG + affected NY residents within 30 days', channel: '#security-ops', escalate: ['legal@company.com', 'ciso@company.com'] },\n STATE_AG_CID_RECEIVED: { sla: 'IMMEDIATE legal hold', label: 'State AG Civil Investigative Demand \u2014 legal hold on all data, do not delete any records', channel: '#compliance-legal', escalate: ['legal@company.com', 'ceo@company.com'] },\n LOYALTY_FRAUD_INCIDENT: { sla: 'IMMEDIATE account freeze', label: 'Loyalty fraud \u2014 freeze affected accounts, preserve transaction logs for CCPA audit', channel: '#fraud-ops', escalate: ['fraud@company.com', 'cto@company.com'] },\n DATA_BREACH_CUSTOMER_PII: { sla: '72h multi-state notification', label: 'Customer PII breach \u2014 trigger multi-state notification pipeline, preserve breach evidence', channel: '#security-ops', escalate: ['ciso@company.com', 'legal@company.com'] }\n};\n\nconst config = slaMap[type] || { sla: '24h', label: 'Unknown incident \u2014 escalate to compliance team immediately', channel: '#compliance-legal', escalate: ['compliance@company.com'] };\n\nreturn [{json: {\n ...incident,\n sla: config.sla,\n response_label: config.label,\n slack_channel: config.channel,\n escalate_emails: config.escalate,\n incident_id: 'INC-' + Date.now(),\n detected_at: new Date().toISOString()\n}}];\n"
},
"id": "ip-2",
"name": "Classify & Map SLA",
"type": "n8n-nodes-base.code",
"position": [
420,
300
],
"typeVersion": 2
},
{
"parameters": {
"select": "channel",
"channelId": {
"__rl": true,
"value": "={{ $json.slack_channel }}",
"mode": "name"
},
"text": "\ud83d\udea8 {{ $json.incident_type }} \u2014 {{ $json.sla }}\nID: {{ $json.incident_id }}\nCustomer: {{ $json.customer_id }}\nAction: {{ $json.response_label }}\nDetected: {{ $json.detected_at }}",
"otherOptions": {}
},
"id": "ip-3",
"name": "Slack Incident Alert",
"type": "n8n-nodes-base.slack",
"position": [
640,
200
],
"typeVersion": 2
},
{
"parameters": {
"sendTo": "={{ $json.escalate_emails.join(',') }}",
"subject": "[{{ $json.sla }}] {{ $json.incident_type }} \u2014 Incident {{ $json.incident_id }}",
"message": "Incident declared: {{ $json.incident_type }}\n\nIncident ID: {{ $json.incident_id }}\nSLA: {{ $json.sla }}\nCustomer: {{ $json.customer_id }}\nDetected: {{ $json.detected_at }}\n\nRequired action: {{ $json.response_label }}\n\nThis is an automated alert. Log all response actions against Incident ID {{ $json.incident_id }}.",
"options": {}
},
"id": "ip-4",
"name": "Email Escalation List",
"type": "n8n-nodes-base.gmail",
"position": [
640,
380
],
"typeVersion": 2
},
{
"parameters": {
"documentId": {
"__rl": true,
"value": "YOUR_SHEET_ID",
"mode": "id"
},
"sheetName": {
"__rl": true,
"value": "IncidentLog",
"mode": "name"
},
"columns": {
"mappingMode": "defineBelow",
"value": {
"incident_id": "={{ $json.incident_id }}",
"type": "={{ $json.incident_type }}",
"customer_id": "={{ $json.customer_id }}",
"sla": "={{ $json.sla }}",
"detected_at": "={{ $json.detected_at }}",
"status": "OPEN"
}
},
"options": {}
},
"id": "ip-5",
"name": "Log Incident",
"type": "n8n-nodes-base.googleSheets",
"position": [
640,
540
],
"typeVersion": 4
},
{
"parameters": {
"respondWith": "json",
"responseBody": "={{ JSON.stringify({incident_id: $json.incident_id, status: 'declared', sla: $json.sla}) }}"
},
"id": "ip-6",
"name": "Respond 200",
"type": "n8n-nodes-base.respondToWebhook",
"position": [
860,
300
],
"typeVersion": 1
}
],
"connections": {
"Incident Webhook": {
"main": [
[
{
"node": "Classify & Map SLA",
"type": "main",
"index": 0
}
]
]
},
"Classify & Map SLA": {
"main": [
[
{
"node": "Slack Incident Alert",
"type": "main",
"index": 0
},
{
"node": "Email Escalation List",
"type": "main",
"index": 0
},
{
"node": "Log Incident",
"type": "main",
"index": 0
}
]
]
},
"Log Incident": {
"main": [
[
{
"node": "Respond 200",
"type": "main",
"index": 0
}
]
]
}
}
}
Test it:
curl -X POST https://your-n8n-instance/webhook/retailtech-incident \
-H "Content-Type: application/json" \
-d '{"incident_type": "PCI_DSS_CARD_DATA_BREACH", "customer_id": "acct_001", "description": "Suspected card data exposure in payment flow"}'
Workflow 5: Weekly RetailTech KPI Dashboard
Monday 8AM. Queries your Postgres database for account counts by tier, MRR with week-over-week delta, churn events, and open compliance incidents by regulation. Emails a full HTML table to CEO with BCC to CTO and CPO. Posts a one-liner to #leadership on Slack.
{
"name": "RetailTech SaaS \u2013 Weekly KPI Dashboard",
"nodes": [
{
"parameters": {
"rule": {
"interval": [
{
"field": "weeks",
"weeksInterval": 1,
"triggerAtDay": [
1
],
"triggerAtHour": 8
}
]
}
},
"id": "kpi-1",
"name": "Monday 8AM",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
200,
300
],
"typeVersion": 1
},
{
"parameters": {
"operation": "executeQuery",
"query": "SELECT\n COUNT(*) FILTER (WHERE tier = 'ENTERPRISE_RETAIL_PLATFORM') AS enterprise_accounts,\n COUNT(*) FILTER (WHERE tier = 'POS_SAAS_VENDOR') AS pos_accounts,\n COUNT(*) FILTER (WHERE tier = 'MARKETPLACE_TECH_PLATFORM') AS marketplace_accounts,\n COUNT(*) FILTER (WHERE tier IN ('MIDMARKET_ECOMMERCE_SAAS','RETAIL_ANALYTICS_SAAS','LOYALTY_REWARDS_SAAS_VENDOR','RETAILTECH_STARTUP')) AS smb_accounts,\n COUNT(*) FILTER (WHERE status = 'churned' AND churned_at > NOW() - INTERVAL '7 days') AS churned_7d,\n SUM(mrr_usd) AS total_mrr,\n COUNT(*) FILTER (WHERE pci_dss_v4_subject = true) AS pci_accounts,\n COUNT(*) FILTER (WHERE ada_title_iii_subject = true) AS ada_accounts,\n COUNT(*) FILTER (WHERE ccpa_cpra_applicable = true) AS ccpa_accounts,\n (SELECT COUNT(*) FROM incidents WHERE status = 'OPEN' AND incident_type LIKE 'PCI%') AS pci_open_incidents,\n (SELECT COUNT(*) FROM incidents WHERE status = 'OPEN' AND incident_type LIKE 'ADA%') AS ada_open_incidents,\n (SELECT COUNT(*) FROM incidents WHERE status = 'OPEN' AND incident_type LIKE 'CCPA%') AS ccpa_open_incidents\nFROM customers WHERE status != 'churned'\n"
},
"id": "kpi-2",
"name": "Query RetailTech Metrics",
"type": "n8n-nodes-base.postgres",
"position": [
420,
300
],
"typeVersion": 2
},
{
"parameters": {
"jsCode": "const m = $input.first().json;\nconst prev = $getWorkflowStaticData('global');\nconst prevMrr = prev.mrr || m.total_mrr;\nconst mrrWoW = (((m.total_mrr - prevMrr) / (prevMrr || 1)) * 100).toFixed(1);\nprev.mrr = m.total_mrr;\n\nconst html = `\n<h2>RetailTech SaaS Weekly KPI \u2014 ${new Date().toISOString().slice(0,10)}</h2>\n<table style=\"border-collapse:collapse;width:100%\">\n <tr style=\"background:#f0f4ff\"><td style=\"padding:8px;border:1px solid #ddd\"><strong>Enterprise Retail Platform</strong></td><td style=\"padding:8px;border:1px solid #ddd\">${m.enterprise_accounts}</td></tr>\n <tr><td style=\"padding:8px;border:1px solid #ddd\"><strong>POS SaaS Vendor</strong></td><td style=\"padding:8px;border:1px solid #ddd\">${m.pos_accounts}</td></tr>\n <tr style=\"background:#f0f4ff\"><td style=\"padding:8px;border:1px solid #ddd\"><strong>Marketplace Platform</strong></td><td style=\"padding:8px;border:1px solid #ddd\">${m.marketplace_accounts}</td></tr>\n <tr><td style=\"padding:8px;border:1px solid #ddd\"><strong>SMB/Startup</strong></td><td style=\"padding:8px;border:1px solid #ddd\">${m.smb_accounts}</td></tr>\n <tr style=\"background:#fff8e6\"><td style=\"padding:8px;border:1px solid #ddd\"><strong>Total MRR</strong></td><td style=\"padding:8px;border:1px solid #ddd\">$${Number(m.total_mrr).toLocaleString()} (${mrrWoW > 0 ? '+' : ''}${mrrWoW}% WoW)</td></tr>\n <tr><td style=\"padding:8px;border:1px solid #ddd\"><strong>Churned (7d)</strong></td><td style=\"padding:8px;border:1px solid #ddd\">${m.churned_7d}</td></tr>\n <tr style=\"background:#fff0f0\"><td style=\"padding:8px;border:1px solid #ddd\"><strong>PCI DSS Accounts</strong></td><td style=\"padding:8px;border:1px solid #ddd\">${m.pci_accounts} (${m.pci_open_incidents} open incidents)</td></tr>\n <tr><td style=\"padding:8px;border:1px solid #ddd\"><strong>ADA Title III Accounts</strong></td><td style=\"padding:8px;border:1px solid #ddd\">${m.ada_accounts} (${m.ada_open_incidents} open)</td></tr>\n <tr style=\"background:#f0fff4\"><td style=\"padding:8px;border:1px solid #ddd\"><strong>CCPA/CPRA Accounts</strong></td><td style=\"padding:8px;border:1px solid #ddd\">${m.ccpa_accounts} (${m.ccpa_open_incidents} open DSRs)</td></tr>\n</table>`;\n\nreturn [{json: {html, total_mrr: m.total_mrr, mrr_wow: mrrWoW, churned_7d: m.churned_7d, pci_open: m.pci_open_incidents, ada_open: m.ada_open_incidents}}];\n"
},
"id": "kpi-3",
"name": "Build KPI Report",
"type": "n8n-nodes-base.code",
"position": [
640,
300
],
"typeVersion": 2
},
{
"parameters": {
"sendTo": "ceo@company.com",
"subject": "RetailTech SaaS Weekly KPI \u2014 {{ $now.format('MMM D, YYYY') }}",
"message": "={{ $json.html }}",
"options": {
"appendAttribution": false,
"bccList": "cto@company.com,cpo@company.com"
}
},
"id": "kpi-4",
"name": "Email KPI to CEO + BCC",
"type": "n8n-nodes-base.gmail",
"position": [
860,
200
],
"typeVersion": 2
},
{
"parameters": {
"select": "channel",
"channelId": {
"__rl": true,
"value": "#leadership",
"mode": "name"
},
"text": "\ud83d\udcca Weekly KPI: MRR ${{ $json.total_mrr.toLocaleString() }} ({{ $json.mrr_wow }}% WoW) | Churned: {{ $json.churned_7d }} | PCI open: {{ $json.pci_open }} | ADA open: {{ $json.ada_open }} | Full report in email.",
"otherOptions": {}
},
"id": "kpi-5",
"name": "Slack #leadership",
"type": "n8n-nodes-base.slack",
"position": [
860,
400
],
"typeVersion": 2
}
],
"connections": {
"Monday 8AM": {
"main": [
[
{
"node": "Query RetailTech Metrics",
"type": "main",
"index": 0
}
]
]
},
"Query RetailTech Metrics": {
"main": [
[
{
"node": "Build KPI Report",
"type": "main",
"index": 0
}
]
]
},
"Build KPI Report": {
"main": [
[
{
"node": "Email KPI to CEO + BCC",
"type": "main",
"index": 0
},
{
"node": "Slack #leadership",
"type": "main",
"index": 0
}
]
]
}
}
}
Why Self-Hosted n8n Matters for RetailTech SaaS Vendors
| Regulation | Cloud iPaaS Problem | Self-Hosted n8n Solution |
|---|---|---|
| PCI DSS v4.0 Req 12.8 | Cloud iPaaS = undocumented TPSP → expands PCI audit surface annually | n8n inside your VPC = inside your assessed environment, no new TPSP |
| CCPA/CPRA DSR | Consumer PII in cloud automation = expands DSR response obligation | n8n in your data boundary = DSR scope stays inside your systems |
| ADA Title III (June 2025) | Accessibility audit logs in cloud iPaaS = discoverable outside your control | n8n in your infra = audit trail stays in your Postgres, your litigation hold |
| FTC §5 Investigation | Auto-renewal flow records in cloud iPaaS = third-party subpoena target | Self-hosted automation logs = inside your legal privilege boundary |
| NY SHIELD Act | Data in cloud automation = additional breach notification surface | n8n in your VPC = automation data stays inside your breach perimeter |
Ready-to-Use Templates
All five workflows above are import-ready. Drop the JSON into your n8n instance via Settings → Import workflow.
If you want pre-built, tested versions with Postgres schemas and Sheet templates included:
👉 FlowKit n8n Template Store — 15 production-ready n8n templates from $12
Pro Tips
1. PCI DSS Req 12.8 TPSP inventory: Add a tpsp_registry sheet. Track every third-party tool in your payment flow, assessment date, and risk rating. Workflow 2 can track annual assessment deadlines.
2. CCPA DSR automation: For Workflow 4, add a Postgres node after CCPA_DSR_REQUEST_RECEIVED to immediately flag the requesting consumer's data for the deletion queue — starts the 45-day clock with a documented timestamp.
3. ADA Title III audit trail: Route all ADA-related events from Workflow 3 and 4 to a dedicated accessibility_audit_log table. For DOJ complaints (Workflow 4 ADA_TITLE_III_DOJ_COMPLAINT), this becomes your evidence file.
4. Multi-state breach notification: For DATA_BREACH_CUSTOMER_PII in Workflow 4, add a Code node that queries your customer database to identify affected states and generates state-specific notification timelines. 50 states have different clocks.
5. FTC auto-renewal compliance: Add a monthly check in Workflow 2 that verifies your auto-renewal disclosure language against FTC Restore Online Shoppers' Confidence Act (ROSCA) requirements — text stored in Sheets, comparison automated.
Built with n8n. All workflows use standard nodes — no premium license required. Import the JSON and connect your own credentials.
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