PROJECT / 04 CASE STUDY

WhatsApp Customer Support Automation

Automated recurring WhatsApp customer inquiries and real-time data lookups using n8n workflows, reducing customer response time by 50%.

01 SYSTEM OVERVIEW

From customer message to useful reply.

ILLUSTRATIVE WORKFLOW DIAGRAM
Illustrative six-step workflow: a customer messages WhatsApp, 360dialog passes the message to a webhook, n8n routes the workflow to query a data source or API, and an automated reply is sent back through WhatsApp.Illustrative six-step workflow: a customer messages WhatsApp, 360dialog passes the message to a webhook, n8n routes the workflow to query a data source or API, and an automated reply is sent back through WhatsApp.
Architecture based on the project description—not a screenshot of the original n8n workflow.

A sanitized screenshot of the actual n8n workflow was not provided, so it is not shown here.

The challenge

Handling repetitive customer questions and requests for up-to-date information manually can slow down support operations and increase response times.

The approach

Built automated n8n workflows that connect WhatsApp messaging through the 360dialog API and webhooks. The workflows process incoming messages, identify recurring inquiries, retrieve relevant real-time information, and send automated responses.

The outcome

Reported customer response time reduction: 50%.

The baseline, sample size, observation period, and calculation method were not provided. Treat this as a reported result until those details can be verified.

Tools & technologies

  • Automationn8n
  • Messaging integrationWhatsApp Business API (360dialog)
  • IntegrationWebhooks
  • Data retrievalReal-time API queries