Système de classement par étoiles des hôtels : Décodage avec le Curated Content de Vervotech
It’s time to focus on the descriptive content of your website. Travelers’ purchasing decisions are highly influenced by static or descriptive content like images, hotel amenities, nearby points of interest. Discover how improving descriptive content can transform your business revenue. Download the Infographic here: (no email required) Download Free
L'impact du contenu descriptif sur les revenus des OTA
It’s time to focus on the descriptive content of your website. Travelers’ purchasing decisions are highly influenced by static or descriptive content like images, hotel amenities, nearby points of interest. Discover how improving descriptive content can transform your business revenue. Download the Infographic here: (no email required) Download Free
Hotel Star Rating System Explained (1 to 5 Stars, 2026)
This is the situation with multiple properties worldwide. For example, Caesars Palace, Las Vegas, a 5-star property, is rated as 5-star by Booking.com but 4.5-star by Expedia. There is no standard star rating system worldwide, often creating confusion among travelers while booking a property. Furthermore, star ratings are valuable in customers’ booking decisions; star ratings portray a better picture of the hotel facilities and price. There is another layer of confusion around star ratings. Often hotel star ratings are confused with guest ratings. A guest’s star rating is based on their stay experience, whereas hotel stars indicate the property’s facilities and amenities. In this blog, we decode everything about hotel star rating systems and how Vervotech can help you streamline star ratings on your platform. Table of Content Defining hotel star rating system Different authorities for star rating systems Hotel star rating challenges for OTAs Conclusion Defining hotel star rating system Hotel star rating system is a process of grading hotel properties or accommodations (on a scale of 1 to 5) to make it easier for travelers to book a property based on their tastes, preference, and budget. Ideally, hotels are rated based on Hotel service quality Hotel facilities Design and architecture Cleanliness Luxury amenities Apart from the mentioned factors, hotels are evaluated these days on factors such as sustainable practices. Diving into the history of the hotel star rating system, the idea was coined by Mobil, a renowned oil company in the U.S. The company’s employees traveled the country and rated hotels on a scale of 1 to 5. Mobil Travel Guide is now known as Forbes Travel Guide and is considered one of the popular authority guides for rating luxury hotels. Forbes Travel Guide annually awards its ratings based on paid, anonymous, and in-person inspections. In North America, another prominent rating system, American Automobile Association (AAA), classifies ratings into 1-5 diamonds. Different authorities for star rating systems Unfortunately, there is no global standard for the hotel rating system. Internationally, several countries have star rating systems controlled by their government. Some of the renowned authorities around the globe are: HOTREC (Hotels, Restaurants & Cafés in Europe) Star Ratings Australia Salam Standard (for Muslim travelers) Green Key International (for eco-friendly accommodations) How do hotels achieve star ratings? The process is straightforward. The hotel owners need to register and apply for star certification to the governing authorities, and upon visiting the property, an audit is performed by the authority. The governing organization inspects the hotel based on the hotel star rating checklist. Based on the hotel star rating checklist, the authority inspects and rates the hotel between 1 to 5-star. Most of the hotels are categorized upon their ratings: 1-star rating: The minimal hotel 2-star rating: Standard hotels 3-star rating: Upscale hotels 4-star rating: Superior hotels 5- star rating: Luxurious hotels Interestingly, for properties that are 3-star and above, regular inspections are performed to check if the hotels are meeting the standards of the star rating systems. Hotel star rating systems challenges for OTAs As there isn’t any universal standard for star ratings, OTAs, tour operators, and metasearch engines often face credibility challenges with the star ratings listed on their platforms. When a hotel gets listed on these platforms, it can self-select its star rating. While many hotels select the star rating achieved by the authority, few hotels rate themselves more than the actual star rating, confusing the travel shoppers. That’s why OTAs and other travel platforms have added guest rating as another parameter to complement the star rating. Here, the travelers rate based on their stay experience. But this is an indefinite parameter for online platforms. That’s why we suggest opting for hotel content curation automation software which can provide you with accurate hotel star ratings. Vervotech Curated Content is an AI-powered tool that curates hotel content from multiple suppliers and delivers standardized hotel content. This enables OTAs to display accurate data on their website. We curate more than 40 attributes for our clients, such as hotel name, address, geocodes, room images, star ratings, and more. Below is an example of The Wallace, a 3-star property in New York, US. For this property, we assessed the supplier’s data with hotel star ratings and then ran our machine-learning models to determine the best average star rating. A comparative study with supplier data follows this. Image: Vervotech client portal How else do we validate our rating systems? We have integration with third-party services and social platforms to leverage their data for final verification. Also, we have a robust manual content analyst team that curates the hotel data, performs intensive research, and assigns accurate hotel ratings for the respective hotel. Conclusion We are in an era where hotel reviews and ratings matter a lot to customers. Hotel star ratings give an insight into the hotel property facilities and can impact customers’ booking decisions. Make sure your platform showcases accurate ratings that enable your users to choose a property easily for their holiday trip. Partner with Vervotech today to understand how we can help you display accurate hotel ratings.
AI-Driven Content Distribution & Management in Travel and Hospitality
AI-Driven Content Distribution and Management is very important as we are entering into a new world of possibilities – the era of technological innovation! With major advancements in the technological capabilities of businesses, the limits are being pushed harder and further than ever before and at the core of this new world of possibilities, lies the twin pair of AI and ML, the holy grail and the hottest topic of discussion across global business circles. Therefore, it is essential that businesses today not only understand the meaning of these two terms and the ways that they are constantly impacting their industries but also incorporate the same into their existing mix so as to remain relevant within their market. So, what exactly are AI and ML? How are AI and ML being used by modern businesses when it comes to managing and distributing their content across their networks? These are some of the questions that we come across frequently, so let’s take a closer look at these two terms and strive to unravel the secrets behind the pair! What is AI and ML? AI or Artificial Intelligence, as the name suggests, is the simulation of human intelligence by modern machines through the process of repeated learning, correcting and reasoning. A machine, while being incapable of making decisions by itself, can process a large number of data sets quickly in order to reach certain conclusions. Once such conclusions are met, a machine can quickly identify whether that conclusion is favourable or unfavourable in nature. If the conclusion is unfavourable, the machine can quickly repeat the entire process till a favourable condition is met. Once this condition is met, the machine then registers that process and can apply it each time to reach a favourable conclusion without fail. This is called Machine Learning. Therefore, it can be seen that Artificial Intelligence and Machine Learning are intricately linked to each other where the application of Machine Learning leads to further models of AI with progressive levels of intelligence. We can then safely conclude that Machine Learning is a subset of Artificial Intelligence that continuously feeds computer systems with large amounts of data so that they can build relationships between data-sets and apply the same to the data-sets that are being fed. Also Read – The Importance of Quality Static Hotel Content for OTAs AI and ML in Travel and Hospitality Systems in the travel and hospitality sector aren’t much different – companies are increasingly applying AI-Driven Content Distribution into their technologies so as to make the systems faster and more efficient. When working with large sets of data, software that relies on AI and ML can quickly quantify data-sets in order to reach meaningful conclusions thus making the entire system extremely fast and accurate. For example, a supplier may be delivering content to multiple different sources multiple times a week. Since listings change quickly, it is essential that this data or content is constantly updated so as to provide the best possible listings to customers and cut down on losses due to erroneous listings. Here, a supplier may use AI and ML to automate the entire process where new listings will be automatically sent to specified points thus cutting down on valuable time and resources. Modern travel agencies need to constantly update their platforms and reflect the latest changes in bookings so as provide their customers with the most updated and accurate data possible. However, most of these travel agencies tend to work with multiple suppliers who are feeding data into their systems continuously. It is quite understandable that duplicates and inconsistencies will be present in the data when it is being consolidated from multiple sources. Therefore, this travel agency may apply AI-Driven Content Distribution in order to consolidate all incoming data and quickly identify the duplicates and get rid of them then and there. As it can be seen from the above two examples, AI and ML can be applied in every field in order to make the process more efficient, fast and intuitive. Whether you are a supplier who is supplying data to multiple sources or a travel agency that is consolidating data from multiple suppliers, you can use incorporate AI and ML into your existing systems in order to make them more efficient. AI and ML in Vervotech Mappings We, at Vervotech, believe in the power of technology to transform the entire value chain. With that thought process in mind, we developed Vervotech Mapping, a fully automated hotel and room mapping service that leverages the power of AI and ML to sustain coverage of 98% with an unmatched accuracy of 99.999%. These figures would not have been achievable without the incorporation of AI and ML into the mix. This divine pair has allowed us to not only develop a software that is able to automatically filter all incoming content for duplicates but also updates its servers through cloud-based systems multiple times a day so that our clients have access to the latest data possible. We are building and maintaining supervised and unsupervised ML models for augmentation and algorithm improvements. If you want to learn more about the ways Vervotech Mappings can help your business grow, click here for a guided tour of our features and services. Our support staff is always online and will be happy to guide you through the entire process!
