wtchtwr

AI-Native Analytics Engine for the Short-Term Rental (STR) Industry

Prepared for: GWSB AI Case Competition | Group 13 – MSBA | Date: 05 December 2025

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Introduction

wtchtwr is an AI portfolio intelligence co-pilot built for short-term rental operators. It combines structured analytics, review intelligence, and agent workflows to help teams make faster, evidence-backed portfolio decisions.

The Problem We Solve

STR managers often operate with scattered data across channels and tools, making it difficult to get clear, verifiable answers about portfolio performance versus the market. wtchtwr addresses this with a centralized, easy-to-use BI “watchtower” for portfolio and competitive performance.

Market Context

76%

of STR managers surveyed emphasized the need for smarter pricing and operational efficiency

62%

of respondents believe AI offers a competitive advantage

+5.23%

increase in average daily rates (ADR) for upscale listings

Key Features

Visualizations

wtchtwr visualization 1

Impact

~86% reduction

in time and cost for a standard BI deep dive

~7 hours → ~1 hour | $385 → $55

Operational uplift

Triage flags fix-first listings and underpriced winners so actions focus where they drive the most revenue, and workflows integrate via email/Slack to reduce guessing and speed up issue resolution.

Tech Architecture

The platform is designed around a web app experience with an orchestration layer, retrieval/knowledge components, and integrations that support analytics, review intelligence, and agent workflows.

Market Opportunity & Business Model

Subscription-based SaaS with tiered monthly plans based on portfolio size:

Risk Considerations & Guardrails

Future Work