Analyze customer feedback and send AI-written replies with GPT-4 and Gmail — Workflow n8n

Élevé complexité🔗 Webhook31 nœuds🤗 Supportpar Cheng Siong Chin

Aperçu

How It Works This workflow automates customer feedback processing by analyzing sentiment, identifying key issues, generating personalized responses, and escalating critical cases to support teams when required. Designed for customer success managers, support teams, and product managers, it enables scalable feedback handling without compromising response quality or urgency. The workflow eliminates manual triage and response drafting by normalizing incoming feedback, performing sentiment and topic

Nœuds utilisés

Send EmailGoogle SheetsPostgresRedisSlackHubSpotSalesforceCodeAI AgentOpenAI Chat ModelStructured Output Parser

Aperçu du workflow

Prerequisites
OpenAI API key, Anthropic Claude API key (optional), Go
Use Cases
Product feedback management, customer support automatio
Customization
Ad
Setup Steps
1. Configure webhook trigger URL for feedback form inte
2. Add OpenAI API key for sentiment analysis and respon
3. Connect Anthropic Claude API for
How It Works
This workflow automates customer feedback processing by
Contextual AI Response Generation
Why: Creates personalized, empathetic responses using c
Parallel Sentiment & Topic Analysis
Why: Simultaneously evaluates emotional tone, identifie
Feedback Ingestion & Data Normalization
Why: Captures feedback from multiple sources (forms, em
Smart Escalation & Automated Distribution
Why: Routes negative sentiment or complex issues to hum
modelparserparsermodel
E
Event Ingestion Webhook
W
Workflow Configuration
Event Normalization
Check Deduplication Cache
I
Is Duplicate Event?
Store Event in Cache
Fetch Historical Interac…
Fetch Feature Store Data
Fetch Segmentation Rules
M
Merge Enrichment Data
Intent & Sentiment Analy…
OpenAI GPT-4 Model
Analysis Output Parser
Calculate Priority Score
R
Route by Priority & Intent
Check Rate Limit
R
Rate Limit Exceeded?
Check Cross-Channel Supp…
I
Is Suppressed?
Decision Policy Agent
OpenAI GPT-4 Decision Mo…
Decision Output Parser
R
Route by Action Type
Send Marketing Email
Create Salesforce Lead
Update HubSpot Contact
Send Support Alert
A
Aggregate Action Results
Log Decision Provenance
Store Outcome for Feedba…
Update Analytics Dashboard
31 nodes34 edges

Comment ça fonctionne

  1. 1

    Déclencheur

    Le workflow démarre avec un déclencheur webhook.

  2. 2

    Traitement

    Les données transitent par 31 nœuds, connecting agent, aggregate, code.

  3. 3

    Sortie

    Le workflow termine son automatisation et livre le résultat à la destination configurée.

Détails des nœuds (31)

SE

Send Email

emailSend

#1
GO

Google Sheets

googleSheets

#2
PO

Postgres

postgres

#3
RE

Redis

redis

#4
SL

Slack

slack

#5
HU

HubSpot

hubspot

#6
SA

Salesforce

salesforce

#7
CO

Code

code

#8
AI

AI Agent

n8n-nodes-langchain.agent

#9
OP

OpenAI Chat Model

n8n-nodes-langchain.lmChatOpenAi

#10
ST

Structured Output Parser

n8n-nodes-langchain.outputParserStructured

#11

Comment importer ce workflow

  1. 1Cliquez sur le bouton Télécharger JSON à droite pour enregistrer le fichier du workflow.
  2. 2Ouvrez votre instance n8n. Accédez à Workflows → Nouveau → Importer depuis un fichier.
  3. 3Sélectionnez le fichier analyze-customer-feedback-and-send-ai-written-replies-with-gpt-4-and-gmail téléchargé et cliquez sur Importer.
  4. 4Configurez les identifiants pour chaque nœud de service (clés API, OAuth, etc.).
  5. 5Cliquez sur Tester le workflow pour vérifier que tout fonctionne, puis activez-le.

Ou collez directement dans n8n → Importer depuis JSON :

{ "name": "Analyze customer feedback and send AI-written replies with GPT-4 and Gmail", "nodes": [...], ...}

Intégrations

agentaggregatecodeemailsendgooglesheetshubspotiflmchatopenaimergeoutputparserstructuredpostgresredissalesforcesetslackswitchwebhook

Obtenir ce workflow

Téléchargez et importez en un clic

Télécharger JSONVoir sur n8n.io
Nœuds31
Complexitéhigh
Déclencheurwebhook
CatégorieSupport

Créé par

Cheng Siong Chin

Cheng Siong Chin

@cschin

Tags

agentaggregatecodeemailsendgooglesheetshubspotiflmchatopenaimergeoutputparserstructured

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