HotelTechReport Surpasses 80,000 Verified Hotel Software Reviews, Deepening the Largest Independent Dataset in Hospitality Technology

HotelTechReport, the independent review and comparison platform for hotel technology, has surpassed 80,000 verified product reviews. The platform now hosts 81,972 authentic reviews submitted by hoteliers with hands-on experience using the products they evaluate. The milestone arrives roughly two years after the platform crossed 50,000 reviews, a pace that reflects how central peer feedback has become to the way hotels buy software.

Hotels rarely buy the same technology twice. A property management system decision made once a decade, a revenue management switch made under pressure, a guest messaging tool chosen with no second example to compare against. Buyers face these decisions without the repetition that builds expertise. A larger pool of verified reviews narrows that gap. With 81,972 reviews on file, a hotelier weighing a new system can now read the experience of dozens of peers running a similar property before a single sales call.

Reaching 80,000 verified reviews matters because of what sits underneath the number. Software is never one size fits all. This dataset, combined with our proprietary feature lists and integrations database, is what lets the platform make personalized recommendations for hoteliers at scale, matched to property size, feature requirements, and region. Every review added makes the next recommendation sharper. Jordan Hollander, CEO of HotelTechReport

Huge dataset combined with rigorous review authentication

Choosing hotel software carries real operational weight. The right system lifts efficiency, guest satisfaction, and profitability. The wrong one is expensive to unwind. Yet the buying environment works against clear comparison. Vendor websites highlight strengths and bury limitations. Trade show floors reward the loudest booth. Sales calls are built to persuade, not to inform.

Verified reviews change that math. Each review on HotelTechReport comes from a confirmed user of the product, run through a review verification process that screens out fake submissions, with community guidelines that mitigate bias. The feedback comes from industry peers with no stake in promoting one product over another.

“HTR has been a breath of fresh air in this industry, making it a counterpart to TripAdvisor on the hotel tech side. No longer can vendors over-promise and under-deliver,” says Mews founder Richard Valtr.

HTR is the leading hotel tech platform because of its multi-faceted and transparent approach. Thought leadership, product reviews, awards, news, announcements, and more, all under one roof. It is simply the go-to platform for hotel tech. Bryan Michalis, General Manager of Enterprise at Canary Technologies

The review count is the input, not the product

A large review library is only useful if a buyer can act on it. HotelTechReport puts the dataset to work through a set of buying tools built around the verified reviews:

1. Personalized software recommendations. The platform queries review data to recommend products against a property's specific profile, since no system fits every hotel.

2. Dynamic shortlists. Category lists such as best property management system or best revenue management system personalize to a user's location and hotel characteristics, so a buyer in Berlin and a buyer in New York see results matched to their market.

3. PMS Finder. A tool that surfaces the applications that integrate with a hotel's existing property management system.

4. One-click price quotes. Buyers gather multiple quotes from one place rather than working through vendor sites one at a time.

5. Verified case studies. Case studies run through the same verification discipline as reviews, including direct customer confirmation, separating proven outcomes from unverified claims.

6. Free buying guides. Guides covering key features, integration requirements, and smart buyer questions, so a hotelier walks into a sales call prepared.

The dataset now powers a GenAI tool built with Booking.com

The clearest measure of what a verified review dataset is worth is what can be built on top of it. In November 2024, HotelTechReport partnered with Booking.com to launch the AI Tech Stack Advisor, a generative-AI tool that HotelTechReport developed and that draws directly on the platform's review database. The tool delivers a personalized assessment of a hotel's technology against its property profile, synthesizing the collective experience of thousands of verified peer reviews into guidance a buyer can act on in minutes rather than weeks. According to HotelTechReport, the Advisor is now used by thousands of hotels each month.

Industry coverage of the tool has framed it as a shift from guesswork to method in how hotels assemble a technology stack. In a September 2025 feature, Hospitality Technology described the Advisor as a way for technology leaders to move from gut feeling and sales demos to a data-backed approach, including a Digital Transformation Score that lets a hotel benchmark its tech stack against a competitive set. That product would not exist without the review dataset underneath it.

The HTScore turns the dataset into a ranking buyers can trust

Behind the platform's rankings sits the HTScore, the methodology HotelTechReport uses to evaluate hotel software. The HTScore is an algorithm that calculates scores across millions of proprietary and third-party data points in real time. Its key drivers are customer ratings and reviews, including review volume, quality, and recency; partner ecosystem strength; customer centricity, including support quality and review consistency; and reach and staying power, including geographic reach and company longevity.

Review volume and recency are direct inputs to that score, which is why a growing, current review base matters beyond the headline figure. Full detail on the methodology is available in the HTScore algorithm explainer.

HotelTech Report has been instrumental in providing an enriched perspective of the hotel technology market. It offers valuable insights, detailed reviews, and industry trends, all of which have broadened our understanding and shaped our strategy in this space. Thibault Catala, founder of Catala Consulting

Every review is one hotelier helping the next one decide

The dataset exists because hoteliers built it. Each of the 81,972 reviews represents a property that took the time to document its experience for the benefit of peers it will never meet. That contribution compounds. The hotelier who reads a review today is reading the work of one who wrote it last year, and will likely write one of their own tomorrow.

Software selection remains one of the harder decisions a hotel makes, made infrequently and under pressure. With more than 80,000 verified reviews now on the platform, the next hotelier facing that decision has more peers to learn from than ever before. The number to watch is not 81,972. It is whatever it reads next year, and what that growth says about how hotels have decided to buy.