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Case Study · Operational Framework / Retail & Luxury

Customer Journey Automation System

End-to-end customer operations automation framework for high-touch service businesses. Deployable across retail, luxury, hospitality and professional services — handling inquiry qualification, appointment scheduling, resource routing and follow-up sequences. Designed to match premium brand expectations while operating autonomously behind the scenes, with CRM-integrated lifecycle management.

Focus

Automation Design · Customer Operations · AI Implementation · Business Process Optimization

Stack

n8n · Claude API · WhatsApp Cloud API · Notion · CRM

Status

Production · Deployable

01

Problem

High-touch service businesses — retail, luxury, hospitality, professional services — need the responsiveness of an always-on concierge while preserving brand warmth and personalisation. Every inquiry is high-stakes; every missed message is lost revenue. The gap: no reusable system exists to automate this end-to-end without diluting the experience.

02

Approach

End-to-end customer operations automation framework for high-touch service businesses. Deployable across retail, luxury, hospitality and professional services — handling inquiry qualification, appointment scheduling, resource routing and follow-up sequences. Designed to match premium brand expectations while operating autonomously behind the scenes, with CRM-integrated lifecycle management.

03

What I built

  • High-touch AI reception framework matching premium brand standards
  • Appointment scheduling with resource and time-slot routing
  • Automated follow-up sequences and reminder workflows
  • CRM-integrated customer lifecycle management and segmentation
04

Outcome

An end-to-end customer operations framework that matches premium brand standards, handles appointment routing and follow-up autonomously, and integrates cleanly with existing CRM stacks — deployable across luxury retail, hospitality and professional services.

Architecture notes

Built to run autonomously, fail loudly, and be handed off to a team — not held together by a single operator. Conversation state, business logic and integration adapters are separated so any layer can be swapped without rebuilding the system.

n8nClaude APIWhatsApp Cloud APINotionCRM