# HotelInsight > HotelInsight is an intelligent hotel revenue management platform that helps hoteliers maximise revenue through demand forecasting, dynamic rate optimisation, and multi-factor market analysis. It integrates weather, flights, local events, holidays, and competitor rates into a proprietary composite demand score (0–100%), categorised as Very High / High / Medium / Low / Very Low, and recommends optimal room rates for every stay date. The platform supports multi-tenant hotel access with role-based access control, modular feature toggles per property, and Replit-Auth-based single sign-on. ## Public Pages - [Home](https://hotelinsight.ai/): Landing page — platform overview, features, and value proposition - [Blog](https://hotelinsight.ai/blog): Expert articles on hotel revenue management, demand forecasting, and pricing strategy - [Tokyo Visitor Trends 2026 Series](https://hotelinsight.ai/blog/series/tokyo-visitor-trends-2026): Six-part monthly series tracking inbound visitor patterns, demand drivers, and hotel market conditions in Tokyo throughout 2026 - [Markets](https://hotelinsight.ai/markets): Real-time hotel market data and competitive rate benchmarking - [About](https://hotelinsight.ai/about): Company mission and team - [Use Cases](https://hotelinsight.ai/use-cases): How independent hotels and boutique properties use HotelInsight - [Changelog](https://hotelinsight.ai/changelog): Latest product features and improvements - [Developers](https://hotelinsight.ai/developers): REST API overview and integration options - [API Documentation](https://hotelinsight.ai/developers/docs): Full API reference with endpoints, authentication, and code examples - [Booking Health Check](https://hotelinsight.ai/booking-health-check): Free personalised analysis of a hotel's booking performance ## Authentication - [Login](https://hotelinsight.ai/login): Sign in via Replit Auth (OpenID Connect) - [My Account](https://hotelinsight.ai/my-account): User profile and preferences ## Dashboard — Core - [Dashboard](https://hotelinsight.ai/dashboard): Main overview — today's demand score, recommended rate, occupancy snapshot, and alert summary - [Demand Index](https://hotelinsight.ai/dashboard/demand-index): Composite demand score breakdown by factor (search trends, sold-out levels, flights, events, holidays, rate index) - [Competitors](https://hotelinsight.ai/dashboard/competitors): Head-to-head competitor hotel list with rates and occupancy ## Dashboard — Forecast - [AI Rate Suggestions](https://hotelinsight.ai/dashboard/forecast/ai-suggestions): Gemini-AI-powered nightly rate recommendations with Accept / Change / Ignore decision workflow - [AI Rate History](https://hotelinsight.ai/dashboard/forecast/ai-rate-history): Filterable, paginated audit log of all past rate decisions (accepted, changed, ignored) with custom rate overrides - [Forecast Reports](https://hotelinsight.ai/dashboard/forecast/reports): Automated weekly/monthly demand forecast PDF & email reports — configure recipients, sections, and send cadence - [Demand Intelligence](https://hotelinsight.ai/dashboard/forecast/demand-intelligence): Forward-looking demand signals combining events, holidays, flights, and market trends - [Demand Monitor](https://hotelinsight.ai/dashboard/forecast/demand-monitor): Spreadsheet-style tracker for news, trends, and market signals injected into AI pricing prompts - [Demand Calendar](https://hotelinsight.ai/dashboard/forecast/demand-calendar): Calendar heatmap of composite demand scores by date - [Group Bookings](https://hotelinsight.ai/dashboard/forecast/group-bookings): Track and factor confirmed group blocks into AI pricing suggestions - [Rates](https://hotelinsight.ai/dashboard/forecast/rates): Historical and projected rate schedule by room type and channel - [Seasonality Planner](https://hotelinsight.ai/dashboard/forecast/seasonality): Year-over-year seasonality patterns and planning tools ## Dashboard — Market Insights - [Event Insight](https://hotelinsight.ai/dashboard/insights/event-insight): Local events and their projected demand impact from PredictHQ - [Holiday Analytics](https://hotelinsight.ai/dashboard/insights/holiday-analytics): Public holiday calendar and demand lift analysis by country - [Flight Analytics](https://hotelinsight.ai/dashboard/insights/flight-analytics): Inbound flight capacity and airline seat trends from multi-source flight database - [Market Demand](https://hotelinsight.ai/dashboard/insights/market-demand): Google Trends and SerpAPI-powered hotel search demand signals - [Hotel Supply](https://hotelinsight.ai/dashboard/insights/hotel-supply): Tokyo ward-level lodging supply (facility counts, room counts) synced from Tokyo Health Bureau; Inside Airbnb quarterly snapshots; JTA Minpaku short-term rental statistics - [Hotel Search Trends](https://hotelinsight.ai/dashboard/insights/hotel-search-trends): Google Hotels search position and visibility trends - [Google Hotels Snapshots](https://hotelinsight.ai/dashboard/insights/google-hotels): Historical Google Hotels pricing and availability snapshots for demand trend analysis - [Online Reputation Index](https://hotelinsight.ai/dashboard/insights/ori): Composite ORI reputation score for competitor benchmarking - [Review Management](https://hotelinsight.ai/dashboard/insights/reviews): Guest review aggregation and sentiment tracking - [Sentiment Analysis](https://hotelinsight.ai/dashboard/insights/sentiment): NLP-based guest sentiment breakdown by topic - [Benchmark](https://hotelinsight.ai/dashboard/insights/benchmark): KPI benchmarking against a configurable competitor set - [Hotel Market Benchmark](https://hotelinsight.ai/dashboard/insights/hotel-market-benchmark): Broader market-level benchmarking across cities - [Visitor Insights](https://hotelinsight.ai/dashboard/insights/visitor-insights): Inbound visitor arrival statistics — HKTB, JNTO, KTO, STB — with AI-powered arrival predictions - [HotelInsight 360](https://hotelinsight.ai/dashboard/insights/360): Unified intelligence view combining demand, supply, sentiment, and competitive data - [OTA Extranet Analytics](https://hotelinsight.ai/dashboard/insights/ota-extranet): Booking.com extranet performance metrics - [Product Analysis](https://hotelinsight.ai/dashboard/insights/product-analysis): Side-by-side Booking.com and Agoda product comparison scraped via Playwright AI extraction - [Booking Health Check](https://hotelinsight.ai/dashboard/booking-health-check): Composite Booking.com performance view combining search ranking, review score, rate competitiveness, and availability signals into a single health score with trend history ## Dashboard — Rate Management - [Rate Shopping](https://hotelinsight.ai/dashboard/rate-shopping): Live competitor rates from OTA channels (Makcorps); batch sync with full traceability - [Rate Map](https://hotelinsight.ai/dashboard/rate-map): Interactive Leaflet map visualising competitor hotel rates by location - [Search Ranking](https://hotelinsight.ai/dashboard/search-ranking): Booking.com search position tracking over time - [Health Check](https://hotelinsight.ai/dashboard/health-check): Composite Booking.com performance dashboard — search rank, pricing competitiveness, guest rating, availability - [Rate Parity](https://hotelinsight.ai/dashboard/rate-parity): Cross-channel rate parity comparison with parity score - [Rate Intelligence](https://hotelinsight.ai/dashboard/rate-intelligence): Rate history detail view by stay date - [Channel Adjustments](https://hotelinsight.ai/dashboard/channel-adjustments): Per-channel markup percentages and centralised channel distribution settings ## Dashboard — Analytics - [Pickup Tracker](https://hotelinsight.ai/dashboard/analytics/pickup): Day-by-day reservation pickup velocity — bookings made in the last 1/7/30 days per stay date ## Dashboard — AI Tools - [AI Advisor](https://hotelinsight.ai/dashboard): Embedded Gemini AI chat widget for revenue advice using live hotel data - [Content Creator](https://hotelinsight.ai/dashboard/ai/content-creator): AI-generated hotel marketing copy and descriptions - [SEO Specialist](https://hotelinsight.ai/dashboard/ai/seo-specialist): AI-powered SEO recommendations for hotel listings - [SEO Health](https://hotelinsight.ai/dashboard/seo): Booking.com listing SEO health audit — keyword coverage, title and description quality, image count, and completeness score with actionable recommendations ## Dashboard — Alerts - [Alerts Feed](https://hotelinsight.ai/dashboard/alerts): Real-time anomaly alert feed — occupancy vs baseline, pickup velocity delta, competitor rate movements; severity filter (info/warning/critical); dismiss/review actions; sidebar badge for unread count ## Dashboard — Integrations - [PMS Integration](https://hotelinsight.ai/dashboard/integrations/pms): Connect Cloudbeds or AirHost for live reservation data - [AirHost Integration](https://hotelinsight.ai/dashboard/integrations/airhost): AirHost-specific PMS configuration ## Dashboard — Configuration - [Property Config](https://hotelinsight.ai/dashboard/config/property): Hotel details, room inventory, and property-level settings - [Algorithm Settings](https://hotelinsight.ai/dashboard/config/algorithm): AI rate algorithm parameters — target occupancy, min/max rates, booking window strategies ## Admin Panel - [Admin Home](https://hotelinsight.ai/admin): Platform administration overview - [Users](https://hotelinsight.ai/admin/users): User management, hotel assignments, and module access control per hotel - [Site Config](https://hotelinsight.ai/admin/site-config): Global platform settings and base URL - [Cities](https://hotelinsight.ai/admin/cities): City-based provider management and data source configuration - [Data Sources](https://hotelinsight.ai/admin/data-sources): Configurable data source categories and external integration providers - [Database](https://hotelinsight.ai/admin/database): Export/import database tables, universal data upload - [API Usage](https://hotelinsight.ai/admin/api-usage): Centralised API call logging and usage monitoring dashboard - [Browse.ai](https://hotelinsight.ai/admin/browseai): Browse.ai scheduled background monitoring configuration - [Rate Shopping Admin](https://hotelinsight.ai/admin/rate-shopping): OTA rate shop proxy health, batch tracking, and scraping configuration - [Currency](https://hotelinsight.ai/admin/currency): SGD-based exchange rate tracking vs currencies of configured cities - [Data Summary](https://hotelinsight.ai/admin/data-summary): Sync logs and data licensing overview - [Product Fetch Logs](https://hotelinsight.ai/admin/product-fetch-logs): Playwright/ScrapingBee extraction logs and failure tracking - [Channel Management](https://hotelinsight.ai/admin/channels): Centralised channel definitions and per-channel markup percentages; determines how rates are pushed to each OTA - [Hotel Management](https://hotelinsight.ai/admin/config/hotel-management): Enable or disable platform modules per hotel - [Data Integration Home](https://hotelinsight.ai/admin/data-integration): Overview hub for all external data integrations with status cards and configuration links ## Admin — Analytics - [Demographics](https://hotelinsight.ai/admin/analytics/demographics): Breakdown of guest nationality, source market, and booking channel from PMS reservation data - [Analytics Reports](https://hotelinsight.ai/admin/analytics/reports): Room type occupancy/ADR/RevPAR, day-of-week demand cycles, cancellation revenue impact, and hotel benchmarking KPIs ## Admin — Property Data - [Occupancy](https://hotelinsight.ai/admin/data/occupancy): Historical and forward occupancy data from the PMS with daily and monthly trend views - [Reservations](https://hotelinsight.ai/admin/data/reservations): Full PMS reservation list with filters for date range, room type, channel, and status - [Rate Logs](https://hotelinsight.ai/admin/data/rate-logs): Audit log of every rate pushed or updated in the PMS - [Rate Diagnostics](https://hotelinsight.ai/admin/data/rate-diagnostics): Troubleshoot rate discrepancies by comparing published, PMS, OTA-listed, and AI-suggested rates - [Room Type Diagnostics](https://hotelinsight.ai/admin/data/room-type-diagnostics): Room type mapping health check — flags unmapped or mismatched PMS room type codes ## Admin — Reports - [Ward Supply & Demand Report](https://hotelinsight.ai/admin/reports/ward-supply-demand): Tokyo ward-level report cross-referencing hotel room supply against inbound visitor demand - [Long-Stay Demand Report](https://hotelinsight.ai/admin/reports/long-stay-demand): Extended-stay demand patterns (7+ nights) combining PMS length-of-stay data with market signals ## Admin — City Data - [Events Data](https://hotelinsight.ai/admin/data-city/events): Manage and upload local event records by city for demand scoring - [Holidays Data](https://hotelinsight.ai/admin/data-city/holidays): Manage public holiday data by country/city for demand scoring - [Weather Data](https://hotelinsight.ai/admin/data-city/weather): View and manage weather records used in demand analysis - [Flights Data](https://hotelinsight.ai/admin/data-city/flights): Manage airline capacity and flight schedule records by city - [Flights Table](https://hotelinsight.ai/admin/data-city/flights-table): Tabular explorer for flight data records with filtering - [Visitor Arrivals Data](https://hotelinsight.ai/admin/data-city/visitor-arrivals): Upload and manage raw inbound visitor arrival records by city - [Holidays Integration](https://hotelinsight.ai/admin/system-source/holidays): Nager.Date public holiday integration — sync and manage holiday data for configured countries - [Flights Integration](https://hotelinsight.ai/admin/system-source/flights): AviationStack flight data integration — sync airline capacity and schedule data - [Events Integration](https://hotelinsight.ai/admin/system-source/events): PredictHQ demand intelligence integration — sync local events for configured cities - [STB Integration](https://hotelinsight.ai/admin/system-source/stb): Singapore Tourism Board inbound arrival statistics integration - [HKTB Integration](https://hotelinsight.ai/admin/system-source/hktb): Hong Kong Tourism Board inbound visitor arrival statistics integration - [JNTO Integration](https://hotelinsight.ai/admin/system-source/jnto): Japan National Tourism Organization inbound visitor statistics integration - [KTO Integration](https://hotelinsight.ai/admin/system-source/kto): Korea Tourism Organization inbound visitor arrival statistics integration - [SEA Tourism Data](https://hotelinsight.ai/admin/system-source/sea): South-East Asia inbound visitor arrivals integration hub — overview and scheduler status for all SEA source markets - [SEA — Thailand](https://hotelinsight.ai/admin/system-source/sea-thailand): Thailand inbound visitor arrivals data management (Ministry of Tourism / TAT) - [SEA — Indonesia](https://hotelinsight.ai/admin/system-source/sea-indonesia): Indonesia inbound visitor arrivals data management - [SEA — Vietnam](https://hotelinsight.ai/admin/system-source/sea-vietnam): Vietnam inbound visitor arrivals data management (VNAT) - [SEA — Malaysia](https://hotelinsight.ai/admin/system-source/sea-malaysia): Malaysia inbound visitor arrivals data management (Tourism Malaysia) - [SEA — Philippines](https://hotelinsight.ai/admin/system-source/sea-philippines): Philippines inbound visitor arrivals data management (DOT) - [SEA — Singapore](https://hotelinsight.ai/admin/system-source/sea-singapore): Singapore inbound visitor arrivals data management (ICA/STB) - [Singapore ICA](https://hotelinsight.ai/admin/system-source/sg-ica): Singapore Immigration and Checkpoints Authority arrival records - [Japan MOJ](https://hotelinsight.ai/admin/system-source/japan-moj): Japan Ministry of Justice port-of-entry arrival statistics - [Tokyo Ward Visitors](https://hotelinsight.ai/admin/system-source/tokyo-ward-visitors): Tokyo ward-level visitor counts with nationality breakdown (Tokyo Metropolitan Government) - [Tokyo Visitor Table](https://hotelinsight.ai/admin/system-source/tokyo-visitor-table): Tabular explorer for Tokyo ward-level visitor data - [e-Stat Accommodation](https://hotelinsight.ai/admin/system-source/estat): e-Stat / MLIT overnight stays and accommodation statistics for Japan - [Tokyo Tourism Data](https://hotelinsight.ai/admin/system-source/tokyo-tourism): Tokyo Tourism Data Catalog integration — local tourism datasets and indicator trends - [Tokyo Lodging Supply](https://hotelinsight.ai/admin/system-source/tokyo-lodging-supply): Tokyo Health Bureau ward-level hotel facility and room count supply data - [Tokyo Kunibetsu](https://hotelinsight.ai/admin/system-source/tokyo-kunibetsu): Tokyo ward-level foreign visitor statistics broken down by nationality - [JNTO Statistics](https://hotelinsight.ai/admin/system-source/jnto-statistics): Detailed JNTO inbound tourism statistics with market-level breakdowns - [China Outbound](https://hotelinsight.ai/admin/system-source/china-outbound): MCT/CTA Chinese outbound travel intelligence (2015–2026-Q1) with cross-reference validation - [Western Outbound](https://hotelinsight.ai/admin/system-source/western-outbound): Western source-market outbound travel data — USA, UK, Australia, France, Germany (2015–2026-Q1) - [APAC Outbound](https://hotelinsight.ai/admin/system-source/apac-outbound): Asia-Pacific outbound travel statistics by source market - [Short-Term Rentals](https://hotelinsight.ai/admin/system-source/short-term-rentals): Inside Airbnb quarterly Tokyo listing snapshots aggregated by neighbourhood and room type - [CPI Rent Index](https://hotelinsight.ai/admin/system-source/cpi-rent): Japan CPI rent index by city-size group and region from Statistics Bureau via e-Stat API - [Real Estate Indicators](https://hotelinsight.ai/admin/system-source/real-estate): Residential Property Price Index (RPPI) and Housing Starts from MLIT and e-Stat - [Real Estate Transactions](https://hotelinsight.ai/admin/system-source/real-estate-transactions): Property transaction volume and price data for demand context ## Key Capabilities - **Composite Demand Score**: 0–100% score weighted across search trends, sold-out inventory, airline capacity, local events, public holidays, and competitor rate index - **AI Rate Recommendations**: Gemini AI analyses demand score + live market data to suggest a nightly rate; managers Accept, Change (with custom rate), or Ignore each suggestion - **Anomaly Alerts Engine**: Server-side detection every 6 hours; compares occupancy vs baseline, pickup velocity delta, and competitor rate movements; configurable thresholds - **Forecast Report Scheduler**: Automated Gemini-narrated HTML demand forecast emails with configurable recipients, sections, and weekly/monthly cadence - **PMS Integration**: Modular Cloudbeds and AirHost connectors for live reservation data capture - **Multi-Source Flight Pipeline**: Unified `airline_capacity` table from AviationStack and manual uploads; AI quality control agent for data integrity - **Tourism Intelligence**: Chinese outbound data (MCT/CTA 2015–2026-Q1), Western outbound data (USA/UK/AUS/FRA/DEU), HKTB/JNTO/KTO/STB inbound arrivals with cross-reference validation - **Real Estate Indicators**: RPPI, Housing Starts (MLIT/e-Stat), CPI Rent Index by city-size group - **Multi-Tenant RBAC**: Admin assigns hotels to users and enables/disables modules per property - **Rate Decisions Audit Log**: Full history of AI rate decisions stored in `rate_decisions` table — filterable, paginated, exportable ## Machine-Readable Content - [llms.txt](https://hotelinsight.ai/llms.txt): This file — AI agent crawl index - [llms-full.txt](https://hotelinsight.ai/llms-full.txt): Extended platform documentation for AI agents - [Sitemap](https://hotelinsight.ai/sitemap.xml): Full XML sitemap - [Blog Sitemap](https://hotelinsight.ai/blog-sitemap.xml): Blog posts XML sitemap - [RSS Feed](https://hotelinsight.ai/feed.xml): Blog RSS feed