Expedia, Kayak partner with ChatGPT

ESET researchers have found that one such organized scammer network – which uses Telekopye, a toolkit discovered by ESET Research in 2023 – has expanded its operations to target users of popular accommodation booking platforms. In conclusion, the integration of Artificial Intelligence (AI) within the hospitality sector represents a paradigm shift, not just in operational efficiencies and guest services, but also in shaping future industry standards. By systematically addressing these stages, hotels not only enhance their current operations but also lay a ChatGPT App solid foundation for future advancements. This proactive approach ensures that hotels remain competitive in a rapidly evolving industry, continually improving their service offerings and operational efficiencies through the strategic use of AI. About a third of the questions guests ask via Ivy are standard ones, such as about check-out times, said Michael Marino, who became Caesar’s first chief experience officer in 2016. After guests check in and provide their phone number, they receive a text from Ivy inviting them to chat if they have any questions.

Users can interact with the chatbot in the same way they would when talking to primary care providers or other health professionals. “Cloud and AI are definitely two major drivers for digital-first initiatives for hospitality and travel organizations,” says IDC’s Creamer, referring to the automation of processes and high-touch guest experiences. For IHG Hotels and Resorts, the cloud provides just the right accommodation for business success. Less technical staff or novices to data can access the solution, enter a search via the chatbot, and then apply their findings across sales, marketing, operations, and distribution strategies.

Booking.com started off in a different way, where they took no money upfront; you paid, for example, at the hotel, and then Booking.com got paid a commission after you left. Now, of course, we want to try and do things where we can actually get some synergies. Procurement is done across the entire organization, but of course, there can be different needs.

Appendix C

This proactive approach minimizes the risk of overbooking or underutilization of rooms, ultimately improving revenue management and operational efficiency. “Our Navigators celebrate the culture, ideas, people and talents of their neighborhoods and provide their personal recommendations on what to see and do in their backyard. RENAI By Renaissance makes this even more accessible and inclusive,” said Schneider, adding that the technology helps “cut through the clutter” of information travelers have access to and personalize the guest experience. Using Gemini Extensions is straightforward — you do not need to specify a particular service in your prompt. A prompt like “Show me flights to Tokyo departing December 3 and give me ideas of things to do for a five day trip” will automatically invoke the Flights and Maps extensions. Gemini will also reference your current location to search flights from your nearest airport.

• Caesars is putting fresh importance on its investment in hotel tech as part of its larger strategy.
• Booking.com is based in Amsterdam, and Europe’s big new tech law, the Digital Markets Act, classifies it as a gatekeeper just like Apple or Google.
• On the contrary, from the Western perspective, heavily influenced by Christianity, humans are unique entities.
• Companies should be transparent about how AI is used in their apps, including data collection and processing practices.

The Cosmopolitan found that hotel guests who text its chatbot spend as much as 30 percent more than those who don’t. GPT-3, the newest and most ambitious version of the chatbot, has demonstrated an uncannily human ability to answer questions in a conversational way. The more you engage with it, the more it personalizes its responses. Leaders in the hospitality and ChatGPT tourism sector have taken notice, as this will inevitably impact trip planning, language translation, and more. “We’re 100 percent free to the customer…the way we make money is the commission on the hotels,” he says. “But we’re building a relationship with the customer because we’re chatting with them over a channel that’s very intimate, like SMS or Messenger.

Benefits of conversational chatbots in customer service

We got really into why a company like Booking.com exists in the first place. Anyone who’s part of a hotel or airline reward program here in the US has probably noticed recently that those companies are working really hard right now to cut out the middleman and get you to book directly with them. Some airlines, for example, now only let you earn reward miles for direct booking. This episode is pure Decoder bait all the way through — from Booking’s structure to competition with hotels and airlines increasingly going direct to consumer, even to how European regulation affects competition with Google.

Daniel Kahneman’s famous book “Thinking Fast and Slow” shows that our mind consists of 2 systems. System 1 works instinctively and allows us to give answers extremely quickly and with minimal effort (this system helped our ancestors to survive after meeting tigers). We tend to use System 1 in as many situations as possible because it’s more effective for basic tasks. That’s why, nowadays, Instruction Tuned LLMs are very popular for business cases.

You can foun additiona information about ai customer service and artificial intelligence and NLP. This, in turn, allowed for LaMDA to exist, which is a model for statistical word prediction and the basis of Google Bard. Jokes aside, Google Bard is a powerful solution that can solve mathematical and coding exercises, write an essay or poem, and cross-reference data to form an elaborate reply. Google Bard is the eponymous company’s new attempt at snatching ChatGPT’s resounding success.

Well, no, we are making huge investments because you won’t be able to create these without working on it to make it happen. Some of our customer service stuff is already going through, so we’re able to do simpler things with that. And I imagine, boy, the rate of advancement is going so rapidly, maybe it’ll be sooner than I think. For example, if you have a flight that is delayed, being able to have an AI agent go through all the permutations, what the right things are, and all the other parts of the trip, because a trip is a chain of many different things.

They aimed to provide a more personalized booking experience and improve operational efficiency. IHG Hotels & Resorts has taken significant strides in sustainability by implementing an AI-driven system across its Avid hotels to optimize energy use. This system uses sensors and AI algorithms to adjust heating, ventilation, and air conditioning based on real-time occupancy and environmental data, drastically reducing energy waste. That doesn’t mean it’s a foregone conclusion that software can learn to play butler by watching humans do it. But Facebook’s researchers say they have plenty of ideas to explore.

A few decades ago, it would take you a lot of time and effort to research destination and accommodation options, book a flight, make a hotel reservation, rent a car, and do a bunch of other trip-related activities. Today, with the help of machine learning and AI, you can use a one-stop travel platform to plan and book everything you need. And the best thing is, you don’t have to leave your home or even your bed.

Together with the results from Study 1, these findings indicate that attachment anxiety has a unique impact on people’s responses to social communication from the chatbot. Following the extant procedure (Roy and Naidoo, 2021), the live chat followed the format of Q&A. Consistent with previous studies, the questions were primarily focused on product-related information. The researchers carefully managed the chatbot conversations to ensure that the interactive Q&A between participants and the chatbot focused on the purchasing scenario (Roy and Naidoo, 2021). Although the dependent variable was measured, this study can still qualify as a field, as participants engaged with realistic independent variables (e.g., live chat; Roy and Naidoo, 2021). Second, our findings provide specific insights into which aspect of the chatbot marketing managers should pay more attention to.

We have not done as much of that as I would like; we’ll do more of that in the future, I think. It’s really giving people new opportunities and different opportunities that would be an important thing, I think, for a lot of people. Plus, I think people also enjoy new challenges and coming up with new things. We’re having different hotel chatbot example groups have meetings across brands to ensure that all the companies are learning what’s working in one, what’s working in another. A lot of the opportunity right now for a lot of companies is increasing productivity through generative AI stuff. But in terms of the day-to-day stuff that you really go down deep, deep, deep…

Robo-Travel: How AI Is Changing The Industry

The focus shifted from trying to generate revenue to trying to boost customer service. But the move, which involves everything from customer databases and hotel front-desk systems to self-check-in kiosks, will be complicated. In the most Chicken Little scenario, travel agents, tour guides, hotel concierges, and writers like myself could be out of work in five years (or less). In reality, it’s more likely that AI will help us do our jobs better and more efficiently. To test ChatGPT’s current capabilities when it comes to trip design, I tasked it with planning my next vacation—a familymoon with a newly mobile toddler.

• However, this process is contingent on consumer attachment anxiety.
• Hipmunk has also won two Webby awards, and is nominated for a third, in the travel category for its excellence and variety of tools.
• He joined Facebook in early 2015 when the social network acquired Wit.ai, a company he cofounded to help businesses create chatbots for functions like customer support.
• AI tools can be useful for everything from booking flights to translating menus.
• I thought I understood that trend, but Glenn’s view is that it’s actually an outlier.
• And I don’t know how these court cases are going to come out, but I certainly am as interested as the next person in what these types of cases are going to result in.

And while the official list is currently limited to Google’s first-party services, we have also heard rumors of Spotify and WhatsApp extensions in the works. If you rely on your phone’s digital assistant for automation or even just hands-free control, you may have hesitated transitioning from the Google Assistant to Gemini. The latter developed a reputation for lacking many of the Assistant’s features early on. However, Google will only support Gemini going forward and has even made it as the default assistant on the Pixel 9 series. Luckily, Google is bridging the gap between the Assistant and Gemini with “extensions” for Gemini that allow the chatbot to perform useful real-world tasks.

How well do you really know your competitors?

To quote an example of a single brand, the business achieved an 85% reduction in billing-cycle processing time by modernizing its loyalty program through AI technologies. This reduced the time required from up to 48 hours to just seven hours. Furthermore, the deployment of AI-enabled systems helped reduce missed or adjusted guest stays by 50% year over year within loyalty-member billing. The Gen AI technology within Amadeus Advisor allows for instantaneous collection of detailed insights, expediting the analysis of complex data and aiding in strategic business planning.

The Hilton company relinquishment of an AI robot serves as a fitting illustration of this. So far guests who interact with the robot can gain sightseer information from it. The capability to acclimatize to different people and learn from the mortal speech is most astounding. In the end, this means that as further druggies interact with it, the better it will emerge. In the meantime, interest in chatbots began to rise as a result of technological advancement in chatbot design that passed in 2016. AI is especially valuable for complex tasks like reconciling revenue from multiple disparate sources.

However, most users ignored a lot of the functionality, such as the lists of local events. The food-related and chatbot efforts are the latest in several initiatives. Having emerged from bankruptcy protection in October 2017, the company is now investing in tech to grow.

First, our findings suggest that brand managers can strategically calibrate chatbot communication style to optimize customer experiences and ultimately ensure the sustainability of chatbot technology. For marketing managers, using social-oriented communication for chatbots can make customers feel warmer and enhance their satisfaction. However, this tactic should be approached with caution, as it may not work to certain situations. Thus, it is crucial for brand managers to consider consumer features, namely consumer attachment anxiety.

SnapTravel doesn’t necessarily have any deals you can’t find elsewhere, but it can feel like it, at times. As its own website explains, it has access to the same unsold hotel inventory that others do. The service’s hotel inventory comes both directly from hotels themselves, as well as via partners like Expedia, Booking.com, Amadeus, Hotels.com, and Sabre (pending). Shi says that hotels honor SnapTravel agents’ special requests around 70 to 80 percent of the time, and they are able to upgrade customers to better rooms around 25 percent of the time. With all the benefits brought to the table, it’s worth noting that chatbots can’t replace human interaction entirely yet.

Airlines like JetBlue, LOT and Adria Airways are using it to identify passengers. The Henn na Hotel in downtown Tokyo opened in 2015 with 40 people on staff. But that didn’t last—they managed to cut their employees down to seven individuals and replace the rest with humanoid robots. Still, the chat window format does work great for virtual assistants. For instance, ChatGPT can already handle requests like “3-day itinerary in Las Vegas for my 70-year-old parents” with flying colors.

When can I have a meaningful conversation with a machine? by Shayaan Jagtap

It can handle basic inquiries, provide product information, schedule appointments, and collect customer feedback. NLP is used in various applications, including chatbots, sentiment analysis, language translation, speech recognition, text summarization, and information retrieval. Another similarity between the two chatbots is their potential to generate plagiarized content and their ability to control this issue.

As a result, AI-powered bots will continue to show ROI and positive results for organizations of all sorts. While there’s still a long way to go before machine learning and NLP have the same capabilities as humans, AI is fast becoming a tool that customer service teams can rely upon. Companies are now deploying NLP in customer service through sentiment analysis tools that automatically monitor written text, such as reviews and social media posts, to track sentiment in real time.

The Evolution of Chatbots and the Rise of Conversational AI

From ‘American Express customer support’ to Google Pixel’s call screening software chatbots can be found in various flavours. In our swift world, prompt customer support responses can transform the client experience. By handling several inquiries at once via AI chatbots and NLP, you can eliminate frustrating waits. However, bringing more advanced AI concepts into the chatbot landscape has solved a number of these problems.

Netguru is a company that provides AI consultancy services and develops AI software solutions. The team of proficient engineers, data scientists, and AI specialists utilize their knowledge of artificial intelligence, machine learning, and data analytics to deliver creative and tailored solutions for companies in different sectors. Unlike human support agents who work in shifts or have limited availability, conversational bots can operate 24/7 without any breaks. They are always there to answer user queries, regardless of the time of day or day of the week. This ensures that customers can access support whenever they need it, even during non-business hours or holidays. AI chatbot offers immediate assistance to customer inquiries, providing real-time responses without the need for human intervention.

Better or improved NLP for chatbots capabilities go a long way in overcoming many challenges faced by enterprises, such as scarcity of labeled data, addressing drifts in customer needs and 24/7 availability. HuggingChat is an open-source conversation model developed by Hugging Face, a well-known hub for developers interested in AI and machine learning technologies. HuggingChat offers an enormous breakthrough as it is powered by cutting-edge GPT-3 technology from OpenAI. Its technology analyzes the user’s choice of words and voice to determine what current issues are appropriate to discuss or what GIFs to send so that users can talk based on feelings and satisfaction. Wit.ai is valuable for collecting contact data within conversations, enhancing user engagement without compromising the chat flow. This AI chatbot builder is a perfect fit for projects that aim to incorporate NLP features rapidly, even without in-depth AI knowledge.

“We want customers to be happy, and they are more willing to obtain the most precise information really fast,” Barthe said. The next five years will bring more streamlined AI experiences, security features that enhance those interactions, and more. Conversational AI trends in the next few years will be brighter and more accessible than ever before. If history is any indication, then it’s likely that the development of conversational AI will continue to be a fruitful avenue of computer science. Let’s look at the future of conversational AI and explore seven key conversational AI trends that will shape the field in 2023 and beyond. Its motto is “My AI Friend,” and the vendor claims that it can offer dialogue geared for emotional support.

Conversational AI minimizes response times and increases customer satisfaction by providing immediate, personalized support. The global conversational AI market size was estimated at USD 7.61 billion in 2022 and is anticipated to grow at a compound annual growth rate (CAGR) of 23.6% from 2023 to 2030. Key factors influencing the market growth include rising demand and reduced chatbot development costs, AI-powered customer support services, and omnichannel deployment. AI-powered messaging and speech-based apps are rapidly uprooting contemporary mobile and web applications and are consequently expected to emerge as a new mode of communication. The creation of hybrid conversational AI models that mix generative and discriminative methods is rising.

Ways to Use Chatbots to Improve Customer Service

As such, conversational agents are being deployed with NLP to provide behavioral tracking and analysis and to make determinations on customer satisfaction or frustration with a product or service. NLP tools can also help customer service departments understand customer sentiment. Sentiment analysis — the process of identifying and categorizing opinions expressed in text — enables companies to analyze customer feedback and discover common topics of interest, identify complaints and track critical trends over time. However, manually analyzing sentiment is time-consuming and can be downright impossible depending on brand size. Additionally, chatbots can be trained to learn industry language and answer industry-specific questions. These additional benefits can have business implications like lower customer churn, less staff turnover and increased growth.

Finding out if a specific conversational AI application is safe to use will require a little bit of research into how the bot was made and how it functions. Chatbots made their debut in 1966 when a computer scientist at MIT, Joseph Weizenbaum, created Eliza, a chatbot based on a limited, predetermined flow. Eliza could simulate a psychotherapist’s conversation through the use of a script, pattern matching nlp for chatbots and substitution methodology. CMSWire’s Marketing & Customer Experience Leadership channel is the go-to hub for actionable research, editorial and opinion for CMOs, aspiring CMOs and today’s customer experience innovators. Our dedicated editorial and research teams focus on bringing you the data and information you need to navigate today’s complex customer, organizational and technical landscapes.

What To Look for in a Chatbot

Organizations that harness this data effectively gain a competitive advantage by making informed decisions to improve their chatbot’s effectiveness. Evolution is driven by artificial intelligence and machine learning advancements, enabling them to understand user intent and adapt over time. Since NLP isn’t flawless, companies should consider workarounds that provide the user with a better customer experience. For example, instead of a chatbot asking a customer to clarify what they just said over and over, a method not only inefficient but frustrating, it may be wiser to route the customer to a live agent sooner.

• Chatbot software is enormously varied and continuously evolving,  and new chatbot entrants may offer innovative features and improvements over existing solutions.
• To select the ideal chatbot, determine the objective of your chatbot and the specific duties or activities it must accomplish.
• We evaluated today’s leading AI chatbots with a rubric that balanced factors like cost, feature set, quality of output, and support.
• The limitations in language understanding, contextual interpretation, and generating dynamic responses contribute to this challenge.
• This functionality also allows the chatbot to translate text from one language to another.

Tidio fits the SMB market because it offers solid functionality at a reasonable price. SMBs are under pressure to offer basic customer service at a low cost; to address this, Tidio allows the creation of a wide array of prewritten responses for simple questions that customers ask again and again. Tidio also offers add-ons at no extra cost, including sales templates to save time with setup. Crisp Chatbot uses artificial intelligence to understand user queries and provide relevant responses.

We assessed each generative AI software’s user interface and overall user experience. This included evaluating the ease of installation, setup process, and navigation within the platform. A well-designed and intuitive interface with clear documentation, support materials, and the AI chatbot response time contributed to a higher score in this category. What appear to be positives to you may be negatives to another user, and vice versa. The best tool for your business is unique to you—conduct your own research to fully understand the chatbot market, identify your overall AI goals, and shop for a chatbot tool that offers features and capabilities that meet your requirements. Replika is an artificial intelligence chatbot designed to have meaningful and empathetic-seeming conversations with users.

It can help both the enterprise and the consumer, said Jordi Torras, CEO and founder of Inbenta Technologies Inc., an AI vendor of natural language processing tools. Torras founded Inbenta in 2005 in Barcelona, Spain before moving the company to California in 2012. They are used to answer common questions, with natural language processing engines enabling them to understand questions posed with unusual wordings. Chatbots can also be used to guide customers or employees through common tasks, or teach them how to use products and services. Intercom AI’s chatbot, Fin, powered by large language models from OpenAI, aims to improve customer experience, automate support processes, and enhance user engagement. The fact that OpenAI (with all of its deep funding and vast expertise) provides Intercom’s underlying engine is clearly a plus.

GPT-based chatbots can understand and respond to a wide range of queries and prompts from users, providing relevant and contextually appropriate responses. This has significantly enhanced the user experience, making chatbot interactions more human-like, engaging, and satisfying. IBM Watsonx Assistant is an AI chatbot builder that addresses numerous customer service challenges. It reduces wait times, eliminates the need for tedious searches and enhances the customer experience by providing accurate answers. Its NLP and ML capabilities enable it to understand and respond to user queries effectively.

ManyChat user friendly tools coupled with a great UI UX design for its users sure did appealed to a lot of botrepreneurs. It is only my personal view of which platform are best for different type of businesses (small, medium, large) and different coding skills (newbie, basic knowledge, advanced knowledge). In the coming years, the technology is poised to become even smarter, more contextual ChatGPT and more human-like. Vendor Support and the strength of the platform’s partner ecosystem can significantly impact your long-term success and ability to leverage the latest advancements in conversational AI technology. Generative AI is a broader category of AI software that can create new content — text, images, audio, video, code, etc. — based on learned patterns in training data.

• Users can also access it via the Windows Copilot Sidebar, making this app easily accessible.
• It runs Claude 3, a powerful LLM known for its large context window of 200,000 tokens per prompt, or around 150,000 words.
• In an effort to enhance the online customer experience, an AssistBot was developed to assist buyers in finding the right products in IKEA online shop.

Chatbots and virtual assistants with advanced natural language processing (NLP) are transforming customer care and how businesses engage with their customers. Additionally, customers may have unique or complex inquiries that require human interactions and human judgment, creativity, or critical thinking skills that a chatbot may not possess. Chatbots rely on pre-programmed responses and may struggle to understand nuanced inquiries or provide customized solutions beyond their programmed capabilities. Chatbots can be integrated with social media platforms to assist in social media customer service and engagement by responding to customer inquiries and complaints in a timely and efficient manner. For example, it is very common to integrate conversational Ai into Facebook Messenger.

New Trends in AI for Digital CX

Unsurprisingly, service-based organizations like healthcare providers and utility companies were the first to integrate chatbot-powered automated appointment scheduling into their operations. Chatbots can analyze customer preferences and behavior to deliver personalized recommendations. Chatbots can use ML algorithms to understand individual customer preferences and provide tailored product or service suggestions. This not only enhances the user experience but also increases the likelihood of conversions. For example, leading e-commerce websites are using chatbots to analyze a customer’s browsing history and purchase patterns for offering relevant product recommendations, leading to higher customer satisfaction and improved sales. One of the primary benefits of using chatbots is their ability to provide instant customer support.

As competition and customer expectations rise, providing exceptional customer service has become an essential business strategy. Utilizing AI chatbots is one of the main methods for meeting customer needs and optimizing processes. The managed service segment is expected to register a CAGR of over 24% during the forecast period. Major players in the market, like Accenture, offer wholesome AI training and system integration services to enable businesses to implement AI advancements in their communication services. The company’s Conversational AI Platform is created to handle organizations’ usual problems when executing conversational AI solutions.

The name change also made sense from a marketing perspective, as Google aims to expand its AI services. It’s a way for Google to increase awareness of its advanced LLM offering as AI democratization and advancements show no signs of slowing. Some believe rebranding the platform as Gemini might have been done to draw attention away from the Bard moniker and the criticism the chatbot faced when it ChatGPT App was first released. It also simplified Google’s AI effort and focused on the success of the Gemini LLM. You can foun additiona information about ai customer service and artificial intelligence and NLP. At its release, Gemini was the most advanced set of LLMs at Google, powering Bard before Bard’s renaming and superseding the company’s Pathways Language Model (Palm 2). As was the case with Palm 2, Gemini was integrated into multiple Google technologies to provide generative AI capabilities.

Forrester predicts that having a successful AI-driven customer service or sales program will depend on the processes that support a blended AI approach, with humans playing a critical role in the ongoing optimization of AI. Because chatbot deployments may still lack the basic capacity for natural language comprehension and back-office integration, completely replacing customer service with customer service chatbots is not something most companies are considering. The major cloud vendors all have chatbot APIs for companies to hook into when they write their own tools. There are also open source packages available, as well as chatbots that are built right into major customer relationship management and customer service platforms.

What are some of the benefits of using a chatbot?

Da Vinci powers all Verint applications and is embedded into business process workflows to maximize CX automation. All of Verint’s AI models are continuously trained on customer engagement data to ensure that they are fine-tuned and can perform successfully. Malware can be introduced into the chatbot software through various means, including unsecured networks or malicious code hidden within messages sent to the chatbot.

Natural language processing chatbots can develop something of a casual personality — responding to multifaceted questions in a conversational manner and seeking to understand what users are looking for, not just responding to keywords. You can phrase your question multiple ways and still receive an applicable answer. NLP enables the AI chatbot to understand and interpret casual conversational input from users, allowing you to have more human-like conversations. With NLP capabilities, generative AI chatbots can recognize context, intent, and entities within the conversation. To support its goal, Replika uses natural language processing and machine learning algorithms to understand and respond to text-based conversations.

It also cites its information source, making it easy to fact-check the chatbot’s answers to your queries. YouChat combines various elements in search results, including images, videos, news, maps, social, code, and search engine results on the subject. For example, if you plan to use Claude 3 for conversational chat and GPT 4 for content generation—their respective specialties—you can get both by subscribing to Poe rather than paying for each separately, which would cost $40 per month. Developers can also use Poe to build their own chatbots using one of the popular models as the foundation, streamlining the process. To assist with this, it offers a FAQ bot to lessen the load of simple, repetitive customer queries.

Developed by OpenAI as part of the GPT (generative pre-trained transformer) series of models, ChatGPT is more than just another natural language processing (NLP) tool designed to engage in human-quality conversations with users. The fact that it was developed by OpenAI means this generative AI app benefits from the pioneering work done by this leading AI company. ChatGPT was the first generative AI app to come to market, launching in November of 2022.

Businesses of all sizes that need a high degree of customization for their chatbots. With the HubSpot Chatbot Builder, you can create chatbot windows that are consistent with the aesthetic of your website or product. Create natural chatbot sequences and even personalize the messages using data you pull directly from your customer relationship management (CRM). “If an organization has a diverse range of 15 or more digital and traditional customer engagement channels, Verint offers a unified platform that helps brands meet those customers wherever they are,” he said. A new breed of conversational AI must understand a wide range of customer intents and deliver efficient and effective service. Imagine you are visiting an online clothing retailer’s website and start a chat with their chatbot to inquire about a pair of jeans.

From guiding customers through basic software setup to helping them reset their passwords, AI chatbots can handle straightforward tasks with ease. The key is to design your AI tools to recognize when a problem is too complex or requires a more personalized approach, ensuring that customers are seamlessly transferred to a human agent when needed. Think of AI chatbots as your friendly neighborhood superheroes, always on standby to swoop in and save the day (or, at least, save your customers some time).