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AI3 — Owner Insight Assistant Specification

Surface: Operator Desktop (Reports module) + Control Plane (chain operators) Phase: P2 / R3 Feature flag: owner-insight-assistant Competitive reference: Duetto AI, Lighthouse, OTA Insight, Notion AI analytics


1. Overview

The owner insight assistant is a natural-language analytics tool for property owners and general managers. Instead of navigating complex report dashboards, owners ask questions in plain language and receive instant answers with charts, tables, and AI-generated insights.

Example interactions:

  • "What was our RevPAR last month compared to the same period last year?"
  • "Which room type had the highest upsell conversion in Q1?"
  • "Why did occupancy drop on 15 March?"
  • "Generate a revenue summary for my board presentation."

2. Entry point

Operator Desktop Reports module: A "Ask a question" input bar at the top of the Reports section.

Control Plane (chain operators): Persistent "Insight" tab across the multi-property dashboard.


3. Query types

Query typeExampleOutput
Metric lookup"What's my ADR this week?"KPI card with value + trend
Comparison"Compare RevPAR: this month vs last year"Line chart
Anomaly investigation"Why did occupancy drop on 15 March?"Prose explanation + contributing factors list
Ranking"Which room type generated most revenue in Q1?"Bar chart + ranked table
Forecast"What's the projected occupancy for next weekend?"Forecast chart (Phase 3 — requires ML model)
Report generation"Summarise last quarter for my board"Exportable markdown/PDF report
Cross-property (chain)"Which property had the best NPS last month?"Ranked table across properties

4. Response anatomy

┌─── Owner Insight ─────────────────────────────────┐
│ Q: "What was our RevPAR last month vs same period │
│ last year?" │
│ │
│ 📊 [Line chart: Apr 2026 vs Apr 2025] │
│ Apr 2026: $87.40 RevPAR (+12% YoY) │
│ Apr 2025: $78.00 RevPAR │
│ │
│ AI commentary: │
│ "RevPAR improved 12% year-over-year, driven by │
│ a 4% increase in ADR ($104 → $108) and a 3.5pp │
│ occupancy improvement (78% → 81.5%). The bump │
│ coincides with Nawroz holiday (20–22 Apr) which │
│ was not a factor last year." │
│ │
│ [Export as PDF] [Add to presentation] [Drill in] │
│ │
│ Sources: Reservation data · Folio revenue · │
│ Holiday calendar (Nawroz 20 Apr) │
└────────────────────────────────────────────────────┘

5. Chart suggestions

If the owner's query is ambiguous about visualisation, the AI suggests the most appropriate chart type:

Q: "Show me booking trends by source"
AI: "Here's a breakdown by booking source (OTA vs direct vs walk-in):
[Bar chart] — or would you prefer a [line chart] to see trends over time?"
[Show bar chart] [Show line chart]

The owner can select or describe what they want in natural language.


6. Export to deck

"Add to presentation" generates a slide-ready PNG (16:9, white background, property branding, Melmastoon watermark) of the chart + AI commentary. Exported via export-service to the operator's email.

Phase 3: PowerPoint/Google Slides native export.


7. Data access and security

The insight assistant has access to only the requesting operator's property data. Chain operators see their connected properties only.

Data accessed:

  • Reservations (anonymised guest data for analytics; no PII)
  • Folio revenue (aggregated)
  • Occupancy and ADR metrics (from analytics-service)
  • Upsell conversion rates
  • Review scores

Not accessible:

  • Individual guest PII (names, passport numbers)
  • Other tenants' data
  • Platform-level billing data

8. Explainability

Every AI-generated insight includes a "How did we calculate this?" link:

  • Opens a methodology card explaining the metric definition (e.g., "RevPAR = ADR × Occupancy rate")
  • Lists the date range and filters applied
  • Shows the raw numbers used in the calculation

This prevents "AI magic" trust issues with owners.


References