How can UI/UX Designers Effectively Use AI to Improve Their Design Work?

Artificial Intelligence is continuously influencing various business frontiers with its extraordinary capabilities. The design industry is not an exception. The impact of Artificial intelligence has triggered several jobs of designers due to its heavy usage in improvising creativity.

The fact is that AI works as a catalyst helping users to get through the targets. People have different perspectives regarding AI. Currently, it works as an augmented magic trick strengthening designers to create exceptional designs.

Now, how can we incorporate such magic tricks into our designing practices and how can we create stunning designs driven by AI?

The below blog answers not only the above question but also will give you insights on several ways of using AI in your UI/UX design practices. So let us address all your concerns.

What Level of Accuracy Does AI Provide in UI/UX Design?

The entire story of AI is based on algorithms that are created by humans. And no man in this world is perfect. With that, even AI can tend to goof up at initial levels. So, make sure before incorporating AI insights into your projects, you fast-check every suggestion and information that AI provides you. However, you can always rely on Google search for cross-checking and getting more insights. To be precise, if you are looking to work on a large-scale project, AI proves to be a good companion for research and design. And if that does not work, quality research with the traditional internet is the best option any day.

Top Use Cases That Prove Effective Use of AI in UI/UX Design

Integrating Empathy in Designs

The role of creating empathetic UX is to catch the real emotions of the users as it is a promising way to make them stay in your app for a longer time. When businesses fail to understand its impact, AI comes in. Automation is no more a challenge for companies. With AI design tools that support a variety of emotions, training machines can perform redundant tasks effortlessly. Incorporating human values via designs can become the routine UX design practice enhancing user interactions. Moreover, integrating various AI emotional apps using facial recognition and expressions can also improve designs to a great extent.

Improving Productivity with Automation

Design process automation enables UI/UX designers to work seamlessly on their designs. Repetitive tasks can be automated by using pattern recognition tools that will collect design pieces, validate the data, and suggest several design patterns. AI-powered tools and techniques adapt to the changes quickly and hence designers can quickly generate several design concepts. Even the entire documentation process and laborious tasks can be automated enabling higher levels of design efficiency.

Personalization and Data-driven Decisions

Data monitors the entire web world. We live in a world where tons of data and information are generated every day. So data only empowers your decision-making process. Designers leverage crucial data by analyzing user behaviors generated by AI-driven analytics. User behavior differs because of their distinct choices. However, some things remain common and that helps in making several decisions. The insights captured through data analytics on user choices and behaviors assist in understanding user preferences and dislikes while scrolling the screen. With the study done on each user behavior, organizations can create solutions that are based on personalized user experiences, leading to higher conversions.

Creating Generative Designs for Design Inspiration

Tools like Canva suggest to users which design part can be chosen next. Similarly for other AI-based design tools, you need to just mention the parameters that will provide you with creative design suggestions. However, Canva is not completely AI-driven but still can assist designers in incorporating creative designs into their presentations. Similarly, numerous tools help users improve their designs by sharing their current designs. So designers may not get a ready platter, leaving them with many suggestions and design insights from AI tools to work with.

Information Architecture (IA)

With Information Architecture, you can beautify and navigate your digital products by using apps that will comfort the users. The impact of IA has enabled designers to harness the capabilities of several AI models that are user-centric, can establish patterns, and can create stunning visuals and much more.

Product Iterations and Rapid Prototyping

Building an ideal digital product prototype is the most crucial job of a UI/UX designer. It takes longer time than usual sometimes as it involves a lot of market research and analysis. But with AI tools on the table, you get better alternatives with a rough idea along with certain parameters that will help you create exceptional prototypes. AI-powered prototyping tools provide designers with suggestions, and inspiration, and can save time and money. Designers can rapidly pass through the ideation process, build raw design pieces, and share it with AI to obtain ideas leading to several iterations. In this way, designers can save a lot of time.

Product Writing

Several design tools help designers build wireframes, that have several pieces of content to be written. Instead of putting ‘lorem ipsum’, designers can now get insights from content tools like ChatGPT, Bard AI, Jasper AI, etc. to get a meaningful product copy making users understand everything about design and its functions.

Usability and Accessibility Testing

AI tools help UI/UX designers to analyze their designs through diverse methods. One of them is usability and accessibility testing. Some popular tools like Visualeyes conduct user-centric tests that focus mainly on design patterns and user behavior. With similar tools, designers get inspiration for creating designs for visually disabled people or those who are color blind. With such tools, they can access several color schemes and navigation tools.

Top 5 Practices to Incorporate AI in UI/UX Design

Top 5 Practices to Incorporate AI in UI/UX Design

It is suggested not to rely completely on AI for creating better UI/UX designs, however, you can use the below practices:

Rigorous research on users

AI tools will provide comprehensive feedback on user traits and user behavior. UX researchers can create exceptional designs by analyzing the data and understanding patterns. With popular AI tools like Google Analytics, UserTesting, and Hotjar, and by keeping an eye on the heat maps, you can find out where the users stop and where they stay.

Finding the right AI-powered tool

Creating a unique design requires abundant research not only on the user statistics but also while choosing AI-powered tools. From user research to user testing, you must find the right tool that will help you cover the purpose of creating designs.

Make iterations with AI feedback

Test and analyze the raw design samples into your AI tools as they will give you feedback on your design patterns along with suggestions to enhance the visual appeal and accessibility. You can also obtain data-driven guidance to enhance your design speed and deliver prototypes at a faster pace.

Incorporate Human Creativity and balance AI suggestions

AI can only provide you with suggestions and relevant information. As mentioned earlier, relying on AI completely can be hazardous. Before using any AI-powered information, you must cross-check by researching on your own and by using your design instincts. Machines also tend to make mistakes, as they are designed by humans. The best design would be a subtle combination of AI and human intelligence with a perfect blend of creativity that human influences at a larger scale.

Stick to ethics while using AI

Relying totally on AI can hamper the authenticity and value of your designs. Despite being beneficial in several ways, you must always keep your stakeholders in the loop about how you are using AI for developing designs. As a designer, this gesture will reflect your professionalism and ethics.

Best 5 AI-powered Design Tools in 2023

Best 5 AI-powered Design Tools in 2023

Adobe Sensei

  • Can create photorealistic effects, editing photos and videos rapidly
  • Optimizes and scales design experiences with real-time intelligence
  • Provides deep insights, and real-time decisions and can predict customer behavior
  • Can provide personalized customer experiences and workflow accelerations

Khroma

  • Assists in selecting the right color palette based on your choice of colors
  • Creates and provides different font color types on particular colors and poster colors
  • Will suggest image editing with different color overlays
  • It generates results based on 50 biases that are your favorite colors

Adobe Firefly

  • It has a fill feature that will allow you to change the background pictures and image sections with a realistic image feel
  • Has a prescribed process to fill the new element into the design
  • Allows you to create images that can be used for your UI/UX design and social media campaigns.

Uizard

  • This tool empowers designers to seamlessly create UI/UX designs.
  • Beginner-level designers can create stunning visuals with this tool with a specific process
  • Also, you can upload a rough wireframe idea into the app and get an accurate visual representation of that screen

VisualEyes

  • It is like Grammarly analyzes content into the UI designs simulates eye-tracking studies with preference tests and provides accuracy levels
  • Testing happens in three categories namely, Attention Map, Clarity Score, and Areas of Interest.
  • You can perform A/B testing for your design options, analyze areas where users stay for more time, create valid design assumptions, and make visually attractive UI/UX designs

Problems While Creating AI-driven UI/UX Designs

Problems While Creating AI-driven UI/UX Designs

No Control

Real designers wait to buy the ideas and suggestions of AI. And if they do, they somehow feel unsatisfied because designing is a task that gets completed only when you pour your years of experience into each nuance of the design-making process.

Biased

AI tools are trained and technology-driven. It relies on biased datasets and creates designs that may look quite stereotypical. To create innovative designs, you must think from the user’s perspective and make sure the designs are user-friendly and accessible.

No Human Creativity

Numerous algorithms and training datasets work behind every AI tool. Hence, each of these tools cannot be interpreted completely like humans in terms of critical thinking and empathy. To shun away from making your design tools more robotic, you must use them only following your design skills ensuring you get better conversions.

Technology Dependent

It is obvious that AI tools will save you time and can create many design tasks. However, the fear remains of too much reliance on technology over human intelligence. This may become lethal for designers and can hamper creativity and innovation.

How Can Softqube Technologies Assist You in Crafting Stunning UI/UX Designs?

How Can Softqube Technologies Assist You in Crafting Stunning UI/UX Designs?

AI will stay here for several decades and will keep evolving. However, it is impossible to beat human creativity with AI. Designers can use it as an assistant to create responsive user interfaces enabling saving on time and effort. At Softqube Technologies, we have a robust team of UI/UX designers who challenge AI to create outstanding designs. Our digital products give stunning user experiences driving the users to come back and access the designs.

Are you up with unique digital product ideas? Get in touch with us, our UI/UX designers are keen to help you transform it into a fully-featured digital product that will add value to your user’s needs.

Enhance Your Hospitality Business With the Power of Artificial Intelligence.

As an entrepreneur, you may only realize the vitality of adopting the latest technologies once you face a setback running your business with only modern technological revolutions. Sounds harsh, right?

But this is so true. The Hence enterprise ecosystem worldwide now knows how contemporary technology can provide growth and revenue to your business. And now, even the traditional hospitality industry is not an exception, wherein they dive headfirst into the AI world, augmenting hotel revenues, maximizing profits, and enhancing customer experiences.

Currently, the hospitality industry is entirely dependent on tech solutions, intelligent chat-bots and voice-activated services. To meet the demands of each customer, hotels are well-prepared to revamp their services that will be powered by artificial intelligence and predictive analytics.

With chatbots, hotels are evolving in numerous operations such as handling booking inquiries and converting visitors into loyal patrons. There will be a time when instead of a human handling the front-desk booking-related queries, there will be a conversational chatbot, programmed to undertake human-like conversations through text and voice in multiple languages.

What is the Importance of Having Intelligent Hotels in the Future?

What is the Importance of Having Intelligent Hotels in the Future?

Hotel Operations

Attending guests in the traditional pattern from the front desk is gradually fading away. Soon, the days when you train your hotel staff to verify documents, answer queries, and manage check-ins will go away. One of the reasons is that up to a certain level, this pattern could not provide the highest level of efficiency and impact on footfalls in the future. Also, this approach is limited to attending only one person at a time, leading to a larger loophole in guest management. The impact of AI and digitization in the hospitality industry and the introduction of chatbots is giving necessary assistance to the hotel staff for handling multiple guests. Now, your chatbots can take care of queries your guests put across online and can minimize the pressure at the front desk. Also, self-check kiosks are helping improve customer services, shedding off the hassles of tedious check-in processes. Now customers can check in hassle-free and can have consistent guest experiences.

Hotel Revenue Management

If you have a powerful assistant like Artificial Intelligence, your hotel’s revenue management will become a game-changer for you. When you collaborate with a trustworthy AI development company, you in-depth analysis of historical data and predict future demand and revenue, helping your hotel business in optimizing pricing and supercharge your earnings. And it is not just that! AI is not just setting the prices, but can also develop dynamic pricing strategies that are completely based on occupancy, demand, and key aspects. Even in peak hours, the magic of AI can be more impactful. AI can also become your inventory guru, helping you estimate future demand trends and adjusting room availability. This will ensure you can sell rooms at premium rates during the peak times and can minimize unsold rooms in the off-season timings. With AI, you can get a universal view of expenses, profits, and various other factors that impact your business cash flow. Moreover, AI-backed tools and technologies will help you find the best rates and grab the most dynamic opportunity available in the market, helping your profits soar high.

Hotel Marketing

AI will be changing the entire hotel marketing strategy by performing better targeted and personalized marketing campaigns. Through the information about guest preferences, demographics, and past behavior, you can automate time-consuming and redundant tasks like customer segmentation, data analysis, and campaign management. Your hotel marketers will be able to redirect their resources in framing better marketing strategies. They can also analyze vast amounts of data by using predictive analytics for customer behavior forecasting and knowing market trends. Moreover, chatbots and virtual assistant promotes hotel marketing, permitting hotels to have real-time guest interaction and provide personalized recommendations.

Further, AI is playing a significant role in establishing your target audience like influencers for hotel campaigning and monitoring social media platforms. Finding the right customer feedback and sentiment, and responding to brand mentions, are the sheer benefits of AI. Automation and optimization of digital marketing campaigns and identifying the target audience, all can generate efficient results with the power of AI.

Hotel Sales Enhancement

Nowadays, even hotel group sales managers adopt artificial intelligence to attract business travelers through predictive analytics. You can forecast group sales in demand for the future, and proactively target potential business travelers. There are powerful AI-powered personalization and recommendation engines helping sales managers create tailored sales pitches and packages to fulfill the specific needs of travelers. Again, the AI-powered chatbots and virtual assistants provide 24/7 support to their customers and help them seamlessly perform tasks such as booking reservations, answering questions, and providing recommendations. With impactful data analytics and insights, the task of targeting the right audience and engaging with them will become a breeze. You can track the performance of group sales, optimizing real-time decisions, guest behavior, and market conditions with real-time analytics.

Enhanced Guest Experiences

Enhanced Guest Experiences

AI is evolving hotel guest experiences rapidly in just a decade. And in the forthcoming decade, there will be personalized and efficient services with automation engines, virtual assistants, concierge services, and smart room technologies. In addition, AI promotes security mechanisms safeguarding crucial data and potential threats against it, smartly offering the best services and amenities to the guests. By integrating AI with virtual reality and augmented reality, AI can provide immersive experiences to the guests like virtual tours and virtual room selection. Lastly, automated check-out enables guests to easily check out from their rooms through their mobile devices or voice commands, and the bill is shared in a text message.

Evolving Human Resources

The entire system of recruitment will be changing in the hotel industry after the adoption of AI. This is because all the repetitive tasks like screening resumes and conducting background checks, and repetitive tasks, etc., will be done through automation. Hence, your human resources managers will save a lot of time, enabling them to focus on strategic activities like building relationships with key clients and providing personalized guest experiences. Even through predictive analytics, employee behavior can be forecasted, making hotels smart enough to make informed decisions with effective recruitment strategies. Once again, here virtual assistants and AI-powered chatbots can interact with job applicants and assist them with the job roles and application process. As the optimized scheduling and workforce management keep the check of staff levels, all the hotel resources can be used efficiently. You can also analyze employee performance, generate feedback, check the training needs, and find out employee engagement levels. Your hotel management staff can design and implement effective programs for employee retention and reducing attrition levels. Your employees can be protected from potential cyber threats, by getting alerts in case of emergencies. Hence, AI integration enhances staff recruitment with great efficiency and productivity.

Large Chains

For all the large hotel chains, implementing AI creates a significant impact on your business. Automation plays a pivotal role in AI implementation, as repetitive tasks like inventory management, data entry, and customer services can performed easily. Your hotel staff can keep the focus on framing effective strategies like how to build relationships with key clients and how to provide personalized services to guests. You can predict large amounts of data and customer behavior through predictive analytics, enabling you to craft data-driven decisions. With personalization and recommendation engines, you can provide targeted personalized experiences to individual guests based on your past behavior and demographics. With predictive maintenance, your hotel staff can immediately address issues before the guest’s problems. With AI, price optimization and inventory decision making is done based on market conditions and guest behavior. Demand forecasts and room availability adjustments can be taken care of accordingly, enabling efficiency in hotel management. Moreover, AI can also optimize energy efficiency by managing the heating, lighting, and cooling systems of the rooms, leading to economical usage of energy consumption and reducing costs. Hence, as an owner of a large hotel chain, you can centralize the entire operations and can manage multiple properties and locations with the power of AI, thereby improving guest experiences.

Impact of Small Independent Hotels

If you are the owner of a small independent hotel, you can still adopt automation for handling repetitive tasks. With the AI implementation, you can focus on building client relationships and enhancing personalized guest experiences. Similarly, predictive analytics, personalization, powered chatbots, and virtual assistants are various tools and strategies that can be seamlessly implemented across hotel management. Smart room technology will reduce costs and promote energy optimization. You can optimize inventory management by demand forecasting and adjusting the room availability. Hence, AI can help your small hotel business in reducing costs related to management and hotel operations and will assist you in becoming more competitive as compared to large hotel chains.

The Future of AI in the Hotel Industry

The Future of AI in the Hotel Industry

As hotels are getting more and more aware of the significance of AI implementation, the prospects of AI in the hospitality industry are bright and ever-shining.

With advanced personalization, AI will augment the guest’s journey, improving their experiences by providing customized services based on their choices and preferences. The integration of AI with IoT will give seamless and convenient user experiences, improving hotel efficiency and productivity. AI-driven virtual and augmented reality technologies are more popular now in the hotel industry as they offer immersive experiences to guests.

Softqube Technologies – Providing true and interactive experiences to the customers.

From task automation and offering tailored guest experiences to enhancing guest satisfaction and seamless operations, Softqube Technologies has provided the best artificial intelligent services to customers. With the evolution of technologies, hotels are now embracing AI at a faster pace in their operations and recruitment processes. To stay competitive, AI implementation in creating better hotel revenue management solutions has offered significant benefits to their hotel business, increasing Hence efficiency and guest satisfaction. Contact Softqube Technologies to develop robust hotel revenue management solutions for your business! We are here to assist you in improving your hotel operations and guest experiences.

Enhancing Insights through Human-in-the-Loop: The Future of Data Annotation

In the world of machine learning, achieving perfect models is often a challenge. When it comes to using these models for critical tasks like life sciences, healthcare, and finance loans, it is recommended to have a human review certain predictions to ensure accuracy. Unfortunately, the lack of properly labeled data makes supervised learning difficult to initiate. However, there is a solution: semi-supervised learning. By having humans tag some data to kickstart the process, high-confidence predictions from an interim or transfer-learning model can be used to label more data automatically, while low-confidence predictions are sent for human review. This iterative process gradually improves the model’s performance.

In essence, human-in-the-loop machine learning relies on human feedback to enhance the quality of training data. It involves a cycle of data sampling, annotation, model training, and further data sampling. Various services are available to facilitate this process. Contrary to popular portrayals in movies, artificial intelligence heavily relies on human input for its training. This concept of human feedback in AI training, known as “Human in the Loop” (HITL), is vital for its development. With the exponential growth of data, accurate and fast annotation of this data has become crucial. Manual image labeling, for instance, is a costly and time-consuming task. To address this challenge, professional image annotation services are increasingly incorporating human-in-the-loop machine learning to accurately label the vast amount of data available for AI training, catering to diverse industries and use cases.

The Challenge of Data Annotation in Various Fields

In any field that relies on large amounts of data, the task of manually annotating that data can be overwhelming. It demands countless hours of work and is prone to human errors, making it an inefficient and error-prone process. This challenge is not unique to life sciences but extends to diverse industries and use cases where accurate and timely annotation is crucial.

The Discovery of AI Powered Annotation Tools

The Discovery of AI-Powered Annotation Tools

In the quest for a solution to expedite the annotation process without compromising accuracy, professionals from various fields stumbled upon AI-powered annotation tools. These tools leverage machine learning algorithms to automatically label data, whether it be text, images, or structured information. The potential of these AI-powered annotation tools was highly intriguing and sparked further investigation.

In Search of the Ideal AI-Powered Annotation Tool

Determined to find the ideal AI-powered annotation tool, researchers and professionals ventured on a journey of evaluation and exploration. They sought a tool that not only demonstrated efficiency but also supported human-in-the-loop workflows. The ability to combine the speed and scalability of AI with the expertise and judgment of human annotators became the key objective

Empowering AI Models and Human Annotators through Training

To ensure the accuracy of the AI-powered annotation, experts began training the AI model on a smaller dataset that had been manually annotated. This step was essential to establish a reliable foundation for the AI system’s labeling capabilities. Additionally, human annotators were provided with guidelines and examples of correctly labeled data, empowering them to review and validate the AI-generated labels effectively.

The Power of Human-in-the-Loop: Combining AI and Human Expertise

With the AI-powered annotation tool in place and the human annotators well-prepared, the magic of human-in-the-loop commenced. The AI system autonomously pre-labeled the data, while human annotators meticulously reviewed and corrected the labels as necessary. This iterative process of feedback and improvement allowed the AI system to continuously enhance its performance.

Revolutionizing Data Annotation in Diverse Fields

What was once a daunting and time-consuming task of annotating vast amounts of data was now a seamless and efficient process. The AI-powered annotation tool significantly reduced annotation time, while the human-in-the-loop approach ensured the utmost accuracy and reliability in the labeled datasets. This transformative combination brought forth a new era of data annotation across multiple industries.

Success Celebrated: Utilizing AI-Powered Annotation

Those who embraced AI-powered annotation with human-in-the-loop experienced the thrill of success. The creation of high-quality labeled datasets propelled their machine learning models forward, enabling remarkable advancements in their respective fields. Whether it was predicting adverse events in clinical trials, enhancing image recognition systems, or optimizing natural language processing algorithms, the outcomes were truly impressive.

The Valuable Lessons

The Valuable Lessons

AI-powered annotation with human-in-the-loop proves to be a powerful approach in overcoming the challenges of data annotation in various industries. By harnessing the efficiency and scalability of AI while incorporating human expertise and judgment, teams can achieve remarkable success. This approach empowers professionals to unlock the full potential of their data, drive innovation, and make significant strides in their respective domains.

Continuing With The Journey

And so, the researchers and professionals across different fields continue to push the boundaries of knowledge, knowing that the magic of AI-powered annotation and human-in-the-loop will always be there to support their endeavors in improving processes, advancing technologies, and driving meaningful change.

Hotel Price Prediction With Data Analysis & Machine Learning

RESEARCHED POC ON HOTEL PRICE PREDICTION

The purpose of this research is to understand the potential of traditional and non-traditional statistical techniques to predict dynamic hotel room prices. Four forecast models were employed: Linear Regression, the Random forest, the Extreme Gradient Boosting(XG boost), is a scalable, distributed gradient-boosted decision tree (GBDT), and the Decision tree. This research is based on an empirical study of data obtained from the Choice Property Management System(PMS)for the property named “Comfort Inn & Suites” for the year 2021,2022.

The economic predictors were obtained from other reliable sources such as the World Tourism Organization. This study agreed with existing literature on the ability of machine learning to predict hotel room prices precisely. Given the complexity of the hotel industry, the effect of external economic predictors was tested in the model. The challenge lay in dealing with the mixed frequencies observed in the collected data. This is designed to add an innovative approach to the existing literature on machine learning in the hotel industry. This creates a bridge between many academic disciplines such as computer science, economics, and marketing. Hotel operators should benefit from this research when setting strategies as well as in using the model to set their relative room prices.

Artificial Intelligence In The Hospotality Industry

The hospitality business has several variables to take into account when determining the optimal price for hotel rooms and other property services. Evaluating demand for accommodation and pricing rates can enable business to have clear idea of when they will experience high demand and accordingly charge high rates. To deal with this, we have built a machine learning model that can predict hotel prices as well as tools and methodologies for analyzing historical hotel data. This allows to maximize revenue during peak seasons and better management of resources.

STEPS TAKEN

STEPS TAKEN

DATA GATHERING

We get the sample data from one of the PMS system named “Choice PMS”, in our case it was easy to get the data but some times it becomes lot more hard to acquire relatable data from authentic sources.

DATA CLEANING AND DATA MANIPULATION

Data Cleaning means the process of identifying the incorrect, incomplete, inaccurate, irrelevant or missing part of the data and then modifying, replacing or deleting them according to the necessity. Data cleaning is considered a foundational element of the basic data science.

FEATURE ENGINEERING

Feature engineering is the act of converting raw observations into desired features using statistical or machine learning approaches with the goal of simplifying and speeding up data transformations while also enhancing model accuracy.

EDA (EXPLORATORY DATA ANALYSIS)

Exploratory Data Analysis (EDA) is an approach to analyse the data using visual techniques. It is used to discover trends, patterns, or to check assumptions with the help of statistical summary and graphical representations.

MACHINE LEARNING

Machine learning model predictions allow businesses to make highly accurate guesses as to the likely outcomes of a question based on historical data, which can be about all kinds of things – customer churn likelihood, possible fraudulent activity, price prediction and more. These provide the businesses various insights that result in tangible business value.

SAMPLE DATA

SAMPLE DATA

  • This is Raw data on which we worked on and performed data cleaning and Feature engineering.
  • Effective data cleaning is a vital part of the data analytics process.
  • Here is the snapshot of Final data frame, which will be using for further data analysis. It’s about 31445 rows and 17 columns.
  • Here you can see we extracted new columns, removed duplicate values, unwanted outliers, extracted features and manipulated values.

DATA ANALYSIS

  • Here we tried to analyse data and understand flow throughout data, patterns and trends in it.
  • DATA ANALYSIS

  • As we can see usually more bookings are done for December and October for the year 2021 and 2022. That means Room rates was increased as occupancy was increased.
  • In following graph we can see trend with total revenue distribution in all months during year.
  • REVENUE

  • It was observed above that bookings were more during October and December month, so revenue during these two months was also high.These can be due to any festival , events or any special occasion in the nearby area which we tried to find out in further analysis.
  • Lets analyse the relation of revenue with average rate in month.
  • AVERAGE RATE DURING MONTH

  • We can see the correlation between average rate and revenue, in JAN average rate is about $99 and revenue was around $226949 as following in OCT the average rate is about $130 (highest among all) and average revenue was also heist at $315735.
  • Now we have to look at what type of rooms are mostly booked, what was the purpose of that and what are the relation with rates.
  • relation with rates

  • Most people are likely to book the room with NQQ (non-smoking double queen size bed) 12259 (40%) followed by room NK (non-smoking single king size bed) 9655 (30%) Two least room type are observed as SNHK (suits non-smoking single king size bed with handicapped) 676 (2%) and NHK(non- smoking single king size bed with handicapped) 396(1%).
  • Room Booking People

  • Above I found this room type relation with ADR (Average Daily Rate) and Rate, for Rate its interquartile range is thinner than ADR, it means Rate is more tightly related with room type.
  • Look at the ratio of room booking purpose during the years.
  • BOOKING PURPOSE

  • Mostly people are booking room for Leisure(rest) 16236(51%) purpose followed by Corporate Sector(meetings) 11189(35%).So here we can say that people who book room for leisure purposes are going for room type NQQ or NK most of the time. And based on this hotel can set room rates and amenities accordingly.
  • Here is the range of average rates and we can see the range of 65-85(AVG) is more preferable.
  • Here is the analysis of average occupancy in week.

    OCCUPANCY

  • Friday, Saturday, and Sunday having more occupancy and in respect of positive relation with occupancy rates were also increased; Hence weekends are important for hotels to serve customers accordingly.
  • Same as Occupancy vs. Rates, LOS and Revenue have positive correlation, revenue will increase with total LOS increase; here we can see that 1N,2N stays are more compare to 3,4,5.
  • Short range of LOS is more preferable(mostly on weekends ).
  • Avrage Rates
    LOS(lenth of stay)

  • While analysis we found some Outliers also, simply share is some data that stands far out than the standard range, There was oner data point who has LOS of 141 nights.
  • There is several TrackCode or we can say RateType, all have some
  • Rate Type

  • impacts on rate, out of 36 we select 10 most used track codes here.
  • Mostly people have used BAR(Best Available Rate) track code 5716(25%) for booking followed by GROUP and SCPM.
  • We also noticed some more relation and patterns in this dataset; here is the short description of that.
  • The average difference between ADR and Rate is 0.02%, in ADR average rate is 99$ and average rate was 102$.
  • The Rates per nights depends on LOS; Rates decrease with LOS increase.
  • Average Room Rate According to LOS

HEAT MAP OF CORRELATION

HEAT MAP OF CORRELATION

  • A heat map represents these coefficients to visualise the strength of correlation among variables.
  • From the graph it is evident that Rate is direct depended on ADR (Average daily rate) , occupancy (how many rooms are occupied) and Day of week; there is indirect dependency also, with weekends, Track code, LOS and Rate code.
  • Overall data is corrected with all features and more or less deciding factors in the rate prediction.

MACHINE LEARNING MODELS & RESULTS

The machine learning field is continuously evolving. And along with evolution comes a rise in demand and importance.

Before and After Outlier removal and normalisation

There is one crucial reason why data scientists need machine learning, and that is: ‘High-value predictions that can guide better decisions and smart actions in real-time without human intervention’, we feed important features columns to a ML model as a X variable and target column as Y variable and then divided it into training set and testing set in a ratio of 70:30, so we will get training and testing results.

Here we used the linear registration, the Random forest, the Extreme Gradient Boosting(XG boost), and the Decision tree, before giving data to machine learning model, it should be outlier free and normalised, here is the graph of before and after removing of outliers and normalisation.

There is visible difference, before the process target data is more saturated to it’s mean an also have high standard deviation, After processing it was well distributed and have well defined interquartile range and outliers free, finally ready to feed to ML model.

Evaluation Metrics

Evaluation Metrics

R2 score is the difference between the samples in the dataset and the predictions made by the model.

MAE is the mean of the absolute error values (actuals – predictions)

MSE is a simple metric that calculates the difference between the actual value and the predicted value (error), squares it and then provides the mean of all the errors.

RMSE is the root of MSE and is beneficial because it helps to bring down the scale of the errors closer to the actual values, making it more interpretable.

Here is the Evaluations metrics of ML models, model’s good accuracy is identified by less difference between training and testing accuracy and with less score of errors.

Based on this matrix, we chose XGB Regressor as the best algorithm for the model. There is around 14% of error because there is lot of other factors to consider while predicting rates and some are unpredictable but we’re working cleverly on this and will develop more accurate ML model.

Here is the trained model on which inputing required Parameters will predict Rate ($110).

Parameters

Revolutionizing Guest Experiences with AI/ML in the Hotel Industry

Introduction

AI has impacted various industries worldwide and is continuously evolving in the customer-focused era. It is a vital part of technology advancements, from smartphones to business software. Companies of all sizes are aware of the significance of adopting new tech solutions to enhance their progress and tackle present challenges and opportunities. The hospitality industry is embracing AI-driven innovations to revolutionize its processes, services, and facilities.

A survey done by the Economic times found rising growth at the global hospitality market in 2020 despite the pandemic situation. Between 2000 and 2021, the hotel and tourism sector received a cumulative FDI inflow of US $15.89 bn. The key motivator for such constant evolution was the deep integration of technology that enabled acceleration and streamlining of the processes thereby making the work execution seamless and simple. AI and ML especially helped in providing customers with personalized services, offered virtual assistance, and analyzed user reviews to improvise and personalize guest experiences.

The hotel industry is constantly evolving and the incorporation of Artificial Intelligence (AI) is the latest technological revolution that is driving growth and revenue. With the help of AI-powered robotics, hotels are able to transform their processes, services and facilities to provide satisfying customer service. This blog will delve into the ways AI is being used in the hospitality industry and the impact it has on the industry’s overall growth.

What Impact AI/ML Has Created So Far in the Hotel Industry?

What-Impact-AIML-Has-Created-So-Far-in-the-Hotel-Industry

The idea of Making Intelligent Hotels

The idea of making hotels intelligent with AI-powered care and service is gaining popularity among modern hospitality leaders. Essential elements that make hotels intelligent include concierge robots, digital assistance, voice-activated services, travel experience enhancers, and automatic data processing (machine learning). These AI-enabled technologies not only reduce human involvement but also improve the way guest service is delivered, with the goal of meeting customer satisfaction.

AI Entering Hotel Industry

The use of AI in the hotel industry is becoming more prevalent with the integration of voice-activated assistants like Siri and Alexa. These systems use machine learning to gather information about customers and provide personalized experiences. This data can be used to improve customer service, from understanding their preferences and choices to tracking their journey patterns and hotel ratings.

Exquisite Customer Services

The hotel industry is increasingly utilizing AI technology, such as voice-activated assistants and robot concierges, to improve customer service and gather insight on customer preferences. Companies like Hilton Worldwide Hotel have implemented AI-powered concierge robots, like Connie, to assist guests and make real-time recommendations. These robots use AI platforms like IBM’s Watson and travel databases to learn from customer interactions and improve their responses.

Outstanding Service With Mobile Apps

Guests of hotels have come to expect control and flexibility when it comes to their stay. Many hotels offer special perks such as mobile apps that allow guests to control various aspects of their stay, such as room temperature and lighting, and order drinks and meals. AI-driven chatbots play a key role in this customer service, allowing guests to interact with the hotel through the app and perform tasks such as ordering meals and drinks, scheduling reservations, and planning itineraries. These virtual interactions via the mobile app allow chatbots to serve as service representatives, bypassing the need for hotel staff.

Personalization in Services Through the Itinerary

Modern travelers want a combination of personalized service and high service standards when they are on the go. However, managing a hotel can be difficult due to the large amounts of data about guests and staff, which can lead to challenges in providing a seamless customer experience. One solution to this problem is to provide guests with intelligent travel phones. These phones, which are available in the guest room, offer features such as GPS, games and entertainment, a hotel app powered by AI, access to unlimited data and international calls, a handy guide to city attractions, promotional offers, and the ability to book return travel and quickly contact hotel service assistants.

Customer Care

Hotels are using AI to gather more knowledge about their customers in order to improve the guest experience. By analyzing data on customer purchases, travel choices, location preferences, and more, AI can offer personalized recommendations and options to guests. From booking a room to planning a journey, AI can assist guests with a variety of tasks, such as fast online assistance, saving user preferences, and making personalized recommendations. This is made possible through the use of big data and machine learning, which helps hotels understand and address the individual needs of their customers.

How AI/ML Creates a Promising Future To Improve the Guest Experiences In Years To Come?

Benefits of AI and ML for Hospitality - Softqube

Improving Hotel Guest Experience

The rise of AI has led to a rapid evolution of devices in terms of features and functionality. The breakthrough technology innovations in artificial intelligence, robotics, and IoT are becoming increasingly common in hotels and resorts, driving competitive advantage and changing the way properties and guests interact. One of the main focuses for most hotels is mobile and voice-activated assistants, which offer guests an easy way to interact with the hotel. Guests can control room functions like TV, lighting, music and temperature with voice commands, and make requests to hotel staff and access room service.

One of the key features that makes AI-enabled systems “smart” is their ability to learn and improve through natural language understanding and machine learning. The system can analyze data from past interactions with guests and continuously improve its responses and predictive capabilities. Voice-activated speaker systems and text-based personal assistants have the potential to engage in meaningful conversations and make optimal recommendations, shortening guest wait times and increasing overall satisfaction.

According to research, AI-enabled response technology can handle an average of 70% of guest requests in hotels where the systems have been implemented, resulting in time and cost savings, and enhancing guest relationships. AI has been shown to reduce the need for human assistance, freeing up staff from routine tasks. Several leading hotel groups have reported that their AI-enabled concierge services have reduced calls to the human concierge desk by 35% or more. Although still in its infancy, AI has more than proven its value in the context of hotel guest services, making it a strong business case for investment in AI technologies.

Forecasting and Patterns of Occupancy

The occupancy rate in the hospitality industry is largely affected by seasons and holidays. Hotel operators use demand forecasting to increase profits. AI can gather information from multiple sources and predict events that could impact occupancy rate and prices.

With access to this information, hoteliers can adjust pricing to be more competitive, create targeted promotional campaigns, and make better strategic decisions. AI enables the industry to analyze customer flow and occupancy patterns, combine this information with business data, and determine the most effective strategies to attract more guests and boost sales.

For instance, hotel managers can utilize AI to distinguish the number of guests from local areas versus other regions or countries. AI will assist them in collecting and analyzing crucial information about guests, including their travel habits and demographic traits, to provide a personalized and memorable experience and foster customer loyalty, setting the hotel apart from competitors.

Fulfilling Guest Expectations

Hotels and resorts have always aimed to handle guest requests in a timely and satisfactory manner. This is because their reputation is heavily dependent on the level of customer service they provide. Their abilities in this area are considered key performance metrics for success.

Today, the challenge is that guests have much higher expectations. The concept of a hotel guest experience has changed in recent years due to demographic and technological shifts. Guests now expect a seamless and frictionless experience throughout their stay, with fast responses to inquiries and personal attention from staff. With the rise of technology-enabled access to information and services in many aspects of life, guests expect this luxury to extend to their hotel experience.

In the future, hotels are likely to be facilitated by a combination of human and machine efforts. Artificial intelligence has the potential to reduce latency between guest requests and hotel response time, enhance the in-room guest experience, and customize services and activities for individual guests. IoT devices can also help update the room with personalized settings and predict which services and activities will be of interest to guests. All of these elements work together to meet and exceed the wave of rising guest expectations.

Reinforcing Guest Personalization

Guest personalization is a top priority for hotels today as they strive to meet the increasing expectations of their guests and maintain a competitive edge. It is quickly becoming a minimum requirement for hotels to remain in the industry. In recent years, hotels have shifted their focus from physical upgrades such as upgraded guest rooms and technology-enabled amenities to providing guests with personalized stay experiences.

For many hotels and resorts, success will depend on their ability to gain a deep understanding of their guests on an individual basis and use that knowledge to enhance the guest experience. A majority of hoteliers believe that targeted personalization, which involves presenting guests with relevant messages, offers, and services at the right time, is an effective way to improve guest satisfaction and loyalty.

Room customization is a crucial aspect of guest personalization. Artificial intelligence can be used to make a guest’s stay more personalized, right down to their preferred lighting and temperature control settings, music playlists, and streaming content. The more frequently a guest stays at a hotel, the more the hotel will learn about them and enhance their guest experience through personalization. In the future, hotels should aim to predict guest wants and needs and proactively address them even before the guest’s arrival.

Empowering Guest Journeys

The guest journey is a record of all interactions and transactions between the hotel and a guest from the start of their stay until they check out. Hotel operators are focusing on mapping and analyzing the guest journey to identify areas for improvement and provide a better experience for guests. The guest journey can start before the guest even sets foot in the hotel, from the research and booking process, and can continue even after the guest leaves the property.

The mapping of the guest journey helps hotel operators identify patterns and shortcomings in the guest experience. However, this exercise can be challenging. With the increasing use of machine learning in the hospitality industry, it is likely to play a crucial role in monitoring the different elements of the guest journey, assessing performance, and flagging areas for improvement. AI technology can also resolve issues and suggest new innovations to improve guest satisfaction. According to a survey, 82% of hoteliers believe AI technology will generate actionable insights for improving business processes and enhancing the guest experience.

The use of messaging apps has been a focus of the hospitality industry, with the goal of building guest loyalty, increasing engagement, and enhancing the overall guest experience. Some hotels send an invitation to their messaging app to guests after they book their stay. On an opt-in basis, guests can receive pre-stay notifications, explore neighborhood guides, set preferences, and communicate with the social care team. The evolution of hotel messaging and the extent to which messaging apps will incorporate artificial intelligence is a topic of interest. It is clear that the conversation between hotels and guests will shift from a request-based one to a two-way dialogue, largely enabled by artificial intelligence.

Complete Support to the Hotel Staff

The migration from humans to machines in the hotel industry is an important issue for hoteliers to consider. They need to assess how this migration will affect existing jobs and if humans and machines can work together for mutual benefits for hotel staff and guests. A majority of hoteliers agree that artificial intelligence (AI) improves employee satisfaction, as it allows employees to focus on higher-value tasks by handling mundane tasks like answering frequently asked questions.

At a major hotel group, AI has reduced the workload of customer support reps and improved the guest experience. The hotel group was struggling to keep up with the volume of support tickets and needed to improve response times. They implemented AI-enabled virtual assistants with natural language integration and self-learning capabilities. The technology integrated with the hotel’s case management tools and improved over time with each interaction. As a result, call resolution times have decreased and the human support personnel are now able to focus on higher-value tasks.

Technology adoption requires a culture change within the organization. Employees need to understand the benefits of AI and overcome any fears they have about job security. AI needs to be part of the overall business strategy and employees need to be included in the strategy to see how they can work together with the technology for mutual benefit. By doing so, employees can fit into higher-level roles and improve the guest experience, as well as their own employee experience.

Dynamic Pricing

In the past, hotels had a standard approach to offering suite upgrades. The revenue manager would set a fixed price for the upgrade, which would be communicated to the front desk and offered to every guest who walked through the door. The price was not adjusted based on guest preferences or market conditions, and the offer was sometimes sent through email without much consideration.

Today, ML-powered hotel upselling uses advanced algorithms to determine the most appropriate pricing based on various factors such as the booked rate, room type, current rates, guest demand, and room availability. The system continues to learn from guest interactions and improve its decision-making abilities with each interaction.

The hospitality industry can harness the power of AI to optimize operations and increase customer retention. AI can perform tasks typically done by human staff effortlessly and efficiently, leading to various benefits for the industry. These benefits include:

  • Optimal room rates: AI can help set room rates based on occupancy levels, market trends, and algorithms to attract a target group of customers.
  • Dynamic pricing: The technology can adjust pricing in real-time, taking into account seasonal changes and market conditions, to maximize profits.
  • Real-time updates: AI can update rates across multiple platforms in real-time, keeping up with market demands.
  • Performance comparison: AI can compare the performance and ratings of a hotel to others in the local community, helping hotel managers make informed decisions.

With AI integrated into operational systems, hotel managers have the ability to track market trends, anticipate local events, and respond accordingly. This not only maximizes profits by automating tasks but also reduces the need for human effort and minimizes errors.

As the hotel industry continues to recover, it’s crucial for hoteliers to take advantage of the increasing demand by offering relevant and personalized offers to guests. By utilizing ML technology, hotels can ensure that their upselling efforts are more effective and result in a better guest experience.

Hotel Booking App - Softqube

Conversational Marketing

The hospitality sector has embraced the use of AI and automation technologies, aiming to improve guest experience. AI-powered chatbots, functioning as virtual assistants, offer quick and customized assistance to travelers’ inquiries. These chatbots optimize the direct booking process, are always available for customer queries, and provide personalized check-ins/outs and upgrades.

Through conversational marketing, hotels can identify upselling opportunities and engage with customers in a more personalized manner. As an example, hotel groups may utilized any renowned software development company’s AI solution to reach 100% chat automation and achieved a considerable customer satisfaction score.

AI also goes a step further by making recommendations to guests, thereby increasing direct sales by automating functions such as booking, handling FAQs, query support, and payment processing. This advanced technology and focus on customer experience will give hospitality businesses a competitive edge and improve customer loyalty.

Virtual Concierges (Chatbots)

Virtual concierges powered by AI technology have become the preferred mode of communication for both travelers and hoteliers. They not only offer comfort to guests, but also drive revenue for hotels. A study shows that in 2022, about 85% of customers prefer to ask their queries through real-time chatbots, as they are addressed immediately without the need to wait for customer support.

While existing hospitality chatbots fulfill some aspects of digital concierge service, AI-powered solutions offer a more personalized experience for guests while reducing the efforts of staff. Integrating with popular communication channels frees up hotel staff to focus on complex requests, leading to an elevated guest experience. The hospitality industry can leverage virtual concierges to:

  • Create a seamless guest experience that drives sales and loyalty
  • Handle time-consuming tasks and improve employee satisfaction
  • Respond faster to inquiries with accurate service
  • Communicate in over 100 languages through automated translations
  • Open up communication channels, such as social media and instant messaging (WhatsApp, Facebook, Instagram, WeChat, Google My Business, SMS), to generate additional revenue streams
  • Highlight local attractions and businesses

For instance, when guests visit a hotel’s website with inquiries, virtual chatbots attend to their questions and respond promptly. With their concerns satisfactorily resolved, customers are more likely to take advantage of the hotel’s upselling offers. AI-driven virtual concierges provide guests with an efficient and high-end user experience, allowing them to access information and services whenever they desire.

Guest Data Analysis

The rise of Alexa and Siri has paved the way for the widespread adoption of voice-activated services. In order to provide guests with a comfortable and personalized experience, hotels are incorporating voice automation into their offerings, allowing guests to control room amenities using only their voice.

With the advancements in technology, hotels can utilize conversational AI in the form of voicebots that can process incoming voice messages from popular social media and messaging apps such as WhatsApp and Facebook Messenger. These advanced Interactive Voice Response (IVR) systems can also answer guest queries through natural-sounding voice notes, providing a more intuitive and user-friendly experience.

Voice-activated services rely solely on Artificial Intelligence to recognize speech and respond appropriately, providing a personalized experience for guests. This smart feature allows guests to complete a range of tasks, such as requesting room service, making reservations at the hotel restaurant, accessing tourist information, ordering specific items, and even booking excursions.

For example, if a guest wants to adjust the room’s temperature, they simply need to say “turn up the temperature” to the voice-controlled smart hubs in the hotel. Voice technology can also be used for entertainment purposes, with devices programmed in advance with the guest’s name to further enhance their personalized experience. In-room voice-activated services also allow guests to interact in their native language, removing any language barriers.

Robots

The integration of Artificial Intelligence in hospitality management through robotics has a bright future in the industry. Service robots equipped with AI have the ability to carry out tasks, both simple and complex, with greater accuracy and consistency. The hotel segment has significantly contributed to the growth of the hospitality robots market, which was valued at $295.3 million in 2020 and is estimated to reach $3,081 million by 2030.

The main objective of robots in the hospitality industry is to improve and enhance the guest experience. This can be achieved by performing activities such as greeting guests, guiding them to their rooms, delivering snacks and orders to their rooms without affecting availability, and cleaning and disinfecting facilities.

Current advancements in robot technologies have resulted in a higher level of intelligence and capability to process holistic thinking, enabling better customer engagement in an intuitive and natural manner. Staying updated with the latest trends in Artificial Intelligence will help hotel professionals better understand their customers’ needs and provide them with innovative and exceptional experiences.

Predict Utility Usage

Hotels looking to improve revenue and save energy, water, and waste should focus on utilizing AI-powered tools. A study shows that on average, US hotels spend 6% of operating costs on utility bills. These expenses can be reduced through the implementation of AI energy management, which goes beyond energy-saving lighting systems and predicts maintenance needs for equipment.

This modern and smart management solution, supported by IoT devices, provides real-time data on energy usage, monitoring factors like temperature, air pressure, and humidity, and adjusts the HVAC accordingly. Hoteliers can use AI to better understand their energy consumption and reach efficiency goals while creating a more sustainable environment.

Make Actionable Reviews

Acquiring new customers is five times more expensive than retaining existing ones, so hoteliers are embracing AI-powered response systems to improve guest satisfaction. The AI system analyzes qualitative feedback data, providing insights and information from vast amounts of text.

Hoteliers can automate review management with AI, collecting, storing, and analyzing reviews from multiple sources, freeing up staff to focus on other tasks and avoiding additional pressure on employees. Sentiment analysis highlights positive and negative comments, enabling hoteliers to respond to guest requests in an appropriate tone, with the right information, at the right time.

AI-powered review systems enable hotel staff to quickly and easily resolve customer issues, boosting both business and guest experience. With AI technology constantly advancing, hotels are leveraging AI to improve the guest experience and respond to customer needs effectively.

Contactless-Procedures

Contactless Procedures

In the wake of the pandemic, contactless technology has gained prominence in the hospitality sector. A survey reveals that 70% of millennial travelers prefer a hotel experience with minimal physical contact. AI-powered contactless technology offers the following solutions:

  • Virtual Concierge service
  • Automated check-in/check-out
  • Voice-activated room service
  • Automated spa booking assistance
  • Contactless digital payments
  • Robotic service

Designed for customers seeking frictionless service, AI-integrated hospitality solutions automate various aspects of hotel operations, allowing for a personalized guest experience and timely satisfaction of guest needs. Automated keyless check-in/express check-out is increasingly popular for its convenience, and AI can reduce staffing, documentation, and time costs for the hotel management.

The hospitality industry is embracing AI to meet the growing demand for contactless technology, and new innovations such as facial recognition, cashless payments, and IoT are on the horizon. AI-powered contactless technology will drive the next generation of on-demand hospitality, offering an automated guest experience while increasing hotel revenue.

Smart Hiring Scenarios

The use of AI in the hospitality industry goes beyond improving customer experience and automating operations. It also enables organizations to modernize their recruitment process by using AI-powered tools. According to a report by McKinsey’s Global Institute, it’s estimated that 70% of companies will adopt AI by 2030.

Integrating AI with recruitment will streamline the application process by automatically screening resumes, providing real-time feedback, and eliminating biases. AI can assess applicants’ psychological traits, cognitive skills, personality, and communication, helping recruiters to select the best fit for a particular position.

Moreover, AI can also enhance employee training by providing mobile or web-based learning, as well as assessments to gauge their performance. This will save time for both recruiters and candidates and help overcome the challenges and expenses of hiring top talent.

AI App for Hospitality Business - Softqube

Final Take Away

AI is rapidly transforming the hotel industry, improving guest experience and reducing the need for human assistance. AI is changing hotel messaging, leading to a two-way conversation with guests, enhancing the in-room experience, enabling personalization, and identifying and resolving issues to increase guest satisfaction and loyalty. AI is already changing the travel lifecycle and will continue to shape the future of the hotel guest experience in the coming years.

In conclusion, the advent of Artificial Intelligence in the hospitality industry has marked the beginning of a new era. With its ability to automate back-office functions, improve customer experience and streamline the recruitment process, AI has proven to be a game-changer for the hospitality industry. It not only simplifies the day-to-day operations of hotels, but also helps them to keep pace with the ever-evolving customer needs and preferences. So, don’t be left behind, embrace the power of AI and take your hotel to new heights of success! Whether you’re a seasoned hotelier or a new entrant, the future is waiting, and it’s ready to be shaped by you.

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