AI Guest Messaging Platform

Built OlivAI, a real-time AI guest-messaging platform combining a project-scoped inbox, AI and human handoff, booking and property context, conversation search, user management, and analytics inside one multi-tenant support dashboard.

client

Aardvark Partners

role

Full-stack

year

2025

Multi-tenant

Project-scoped inboxes

Real-time

Live conversation updates

AI + human

Handoff workflow

Hospitality

Guest support at scale

context

Hospitality teams needed a single live inbox for guest conversations where AI could handle or draft responses, agents could claim and escalate, and booking, property, and pre-check-in context sat right next to the message thread.

problem

Guest messaging, booking data, property records, agent assignment, and reporting were scattered across separate tools, making it slow to respond with context and hard to know which conversations were AI-handled, in review, or waiting on a human.

what i built

Built a real-time inbox with Supabase Realtime, scoped per project for tenant-isolated conversations
Designed an AI and human handoff workflow with claim, assign, review, interrupt, and close states
Surfaced customer, booking, property, and pre-check-in context next to every conversation thread

application

Real-time inbox

Conversation list with live counts and updates via Supabase Realtime, refreshing on insert, update, and delete.

AI and human handoff workflow

Claim, assign, interrupt, review, and close conversation states across AI and agent messages.

n8n AI workflows

AI message generation, drafting, and automation orchestrated through n8n flows feeding back into the inbox.

Context panel

Customer, booking, property, and pre-check-in data fetched alongside the active thread.

Analytics

Aggregations for conversation volume, agent activity, ratings, and customer satisfaction.

Messaging server actions

Insert messages, update conversation state, and trigger real-time list and count refreshes.

platform

Auth middleware

Resolves user, agent, and organization context on every protected API call.

Project-scoped subscriptions

Realtime channels filtered by project_id so each org only receives its own updates.

Role-based access

Admin vs agent surfaces across inbox, settings, and analytics.

data

Supabase data model

Conversations, messages, agents, organizations, properties, and bookings in a shared Postgres schema.

Backend booking and property APIs

Reservation, contact, and property data sources powering the context panel.

outcome

A faster, more context-aware support workflow: AI handles or drafts responses, agents claim escalations with full booking context, managers track performance, and conversations stay scoped to the right organization.

stack

Next.js 15 + React 19, TypeScript, Tailwind CSS 4 + Radix UI, TanStack Query + Zustand, Supabase, Authentication, Supabase Realtime, next-safe-action + Zod, Recharts, n8n, Vercel

Designed as an operations workspace for teams handling live guest conversations.

Project-scoped inboxes with real-time conversation updates.
Property context panels to support faster, more accurate replies.
AI assistant layer alongside team assignment and user management.
Analytics surfaces for guest messaging volume and operational visibility.