Hospitality Reputation + Guest Intelligence + AI Automation

Turn every guest voice into revenue, reputation & action.

Techno Heaven ReputationOS AI unifies reviews, surveys, guest sentiment, competitor intelligence and guest conversations into one AI-native command center for hotels, chains, OTAs, DMCs and travel groups.

Explore 30+ AI Features

One Inbox
All feedback sources50+ Languages
AI reply workflow24×7
Guest intelligenceAPI First
OTA & hotel ready

Reputation Score92.4▲ 4.7%

Response Rate96%▲ 12%

Guest Sentiment8.9Positive

Revenue RiskLowAI protected

Recent Guest Review
★★★★★

2m ago

“Excellent location and helpful staff. Breakfast was very good, but check-in took longer than expected.”

Location +96%Staff +91%Breakfast +88%Check-in −37%

✦ AI Action Engine

87%

Service recovery confidence

Recommend: apologize for wait, mention express check-in, alert Front Office manager, track next 25 check-ins.

Complete Hospitality Intelligence Suite

One platform. Every signal. Every guest.

Designed as Techno Heaven's own product stack for hotel groups, OTAs and travel businesses: feedback collection, AI interpretation, automated response, guest identity, operational workflows and conversion intelligence.

📥

Unified Review Inbox

Aggregate reviews and survey feedback from configured OTA, search, social and first-party channels into one operational queue.

Smart deduplication

✦

Response AI

Generate brand-safe, multilingual, context-aware replies with approval rules, tone profiles and property-specific knowledge.

Human approval or auto-send

🧠

Sentiment AI

Break reviews into topics such as room, cleanliness, breakfast, staff, check-in, location, Wi-Fi, value and service.

Aspect-level sentiment

📝

Summary AI

Convert thousands of comments into executive summaries, top positives, recurring complaints, hidden trends and action priorities.

Daily / weekly / monthly

📊

Competitor Benchmarking

Compare reputation score, topic sentiment, response speed, review velocity and market position against a selected comp-set.

Portfolio + property view

📋

Survey Studio

Create pre-stay, in-stay and post-stay surveys with multilingual templates, conditional questions, QR links and NPS/CSAT logic.

Drag & drop rules

👤

Guest 360 Profile

Merge feedback, stay history, preferences, consent, complaints, service recovery and lifetime-value signals into one guest view.

Identity resolution

💬

Guest AI Agent

Answer property questions, booking queries, check-in help, amenities, upsells, complaints and post-stay requests around the clock.

Web + WhatsApp + chat

🏨

Staff Copilot

Give operations teams instant answers from SOPs, guest context, issue history, property knowledge and live task queues.

Role-aware answers

🚨

Service Recovery AI

Detect negative experience before checkout, classify urgency, assign a department and recommend a recovery offer or action.

Prevent bad reviews

💸

Revenue Impact AI

Estimate which reputation issues are likely to hurt conversion, ADR or repeat business and prioritize fixes by commercial impact.

Revenue-risk score

🌐

Reputation Widgets

Publish review highlights, AI summaries, rating signals and verified guest feedback modules directly on hotel booking pages.

Conversion focused

Techno Heaven AI Decision Layer

Not just analytics. An AI engine that decides what to do next.

Priority Score

Formula: Sentiment severity × guest value × topic recurrence × visibility × commercial impact.

0–100 action score

Auto Escalation

Negative cleanliness → Housekeeping. Check-in delay → Front Office. Billing complaint → Finance. VIP issue → GM immediately.

Dynamic routing

Brand Voice Guardrail

Set luxury, friendly, concise, premium, apologetic or corporate response tone plus forbidden phrases and compensation limits.

Policy-aware GenAI

Fraud & Anomaly AI

Flag abnormal review bursts, repeated text, suspicious rating patterns, survey abuse and unusual competitor changes.

Pattern detection

Root Cause AI

Correlate complaints with property, room type, stay date, shift, booking source, nationality, meal plan and service process.

Operational diagnosis

Next Best Action

Suggest reply, compensation, internal ticket, guest callback, staff coaching, survey follow-up, upsell or no action.

Action orchestration

Automated Workflow

From raw review to closed-loop action.

01 • INGESTCollect

Reviews, surveys, chats, CRM/PMS signals, complaints and direct guest feedback.

02 • UNDERSTANDAI Analyze

Language, sentiment, topics, emotion, intent, guest type, urgency and revenue risk.

03 • DECIDEPrioritize

Score impact, compare historical trends and decide best next action.

04 • ACTAutomate

Draft response, route task, trigger recovery, send survey or launch guest communication.

05 • LEARNImprove

Track outcome, rating change, response performance and retrain recommendation rules.

Unified Inbox — Live Concept

Google Review
“Amazing room, slow breakfast service.”

8.6

Booking Channel
“Staff helpful. Check-in needs improvement.”

7.8

Post-Stay Survey
“Would return. Wi-Fi was inconsistent.”

9.1

WhatsApp Guest
“Can I get late checkout tomorrow?”

AI Decision Console

[ReputationOS AI] Input: “Room was clean but check-in took 35 minutes.” Language: English Overall sentiment: Mixed / 0.61 Positive topics: Cleanliness +0.91 Negative topics: Check-in -0.78 Urgency: Medium Revenue risk: 42/100 Department: Front Office NEXT BEST ACTION: 1. Generate personalized apology 2. Mention express check-in improvement 3. Create Front Office trend task 4. Watch next 25 check-in reviews

For Techno Heaven Clients, OTAs & Hotel Groups

API-first reputation intelligence.

Expose scores, topic sentiment, summaries, recommendation signals and guest-feedback intelligence inside your own booking engine, CRM, PMS, mobile app or B2B platform.

Example API Output

GET /v1/reputation/hotels/TH-DXB-1088 { "reputation_score": 92.4, "review_count": 2841, "positive": ["location","staff","cleanliness"], "watch": ["check-in","wifi"], "summary_ai": "Excellent city hotel...", "traveler_fit": { "family": 94, "business": 88, "couple": 91 }, "conversion_confidence": 0.93 }

Embedding Use Cases

Hotel search ranking • “Why book this hotel?” AI • Best-for-family labels • review summaries • room recommendation • complaint risk • post-booking service • supplier quality scoring • destination intelligence • chatbot knowledge.

REST / JSON

Simple API for web, app and B2B integrations.

Webhooks

Real-time negative review and SLA alerts.

Bulk Feed

Portfolio-scale reputation and topic data.

SSO / Roles

Hotel, chain, region and admin permissions.

Product Scope

Techno Heaven advantage layer.

Capability	Standard Review Tool	Techno Heaven ReputationOS AI
Review aggregation	✓	✓ Multi-source + smart normalization
AI sentiment & summaries	✓	✓ Topic + root-cause + action AI
AI review responses	✓	✓ Brand policy + multilingual + approval rules
Surveys / NPS / CSAT	✓	✓ Pre / in / post-stay + automated recovery
Competitor intelligence	✓	✓ Reputation + trend + topic benchmarking
Unified guest profile	Optional	✓ Feedback + stay + preference + value
Guest / booking / staff AI agents	Varies	✓ Native omnichannel agent layer
Revenue risk from reputation	Limited	✓ Commercial impact prioritization
OTA / booking-engine API	Varies	✓ Scores, summaries, traveler fit, ranking signals
Travel-tech ecosystem integration	Limited	✓ CRM + PMS + booking engine + hotel API + WhatsApp

FAQ / AEO Ready

Hospitality Reputation AI — frequently asked questions.

It is a proposed AI-native hospitality guest intelligence platform that consolidates reviews, surveys and guest interactions, analyzes sentiment and topics, automates replies and service recovery, benchmarks competitors and exposes reputation intelligence through dashboards and APIs.

Yes. The architecture is designed for connectors to approved review, OTA, survey, social, CRM and PMS sources. Exact sources depend on provider APIs, commercial permissions and applicable terms.

Yes. AI can prepare multilingual replies using brand tone, property context, sentiment and policy controls. Properties can require manual approval or enable rule-based automation where the connected channel allows it.

The engine extracts topics and sentiment at phrase level, for example positive cleanliness but negative check-in. It then aggregates these signals by hotel, city, room type, source, date, traveler segment and other permitted dimensions.

Yes. In-stay surveys, chat monitoring and complaint detection can identify unhappy guests while they are still at the property, allowing a service recovery workflow before checkout.

Yes. An API can return normalized reputation scores, AI summaries, topic scores and traveler-fit signals for use in hotel cards, detail pages, ranking models and recommendation engines, subject to data licensing rights.

Yes. Role-based administration can support property, cluster, region, brand and corporate views with cross-property benchmarking and goal tracking.

The product design is API-first and can integrate with approved WhatsApp Business providers, CRMs, PMS platforms and booking engines using APIs and webhooks.