October 2, 2023

Top Ten Industries For LLM Chatbot Integration

Learn everything about the practical applications of ChatGPT chatbots and other conversational chatbot solutions in different industries.

Written by
Serhii Uspenskyi

Table of Contents

Chatbots have been around for decades, but the recent developments in the fields of AI and ML gave them a much-needed upgrade. Despite the versatility of conversational chatbots, many still view them as advanced customer service tools for retail stores. This misconception doesn’t let the tech fully establish itself in other industries.

Business owners hesitate, citing integration costs or doubts about chatbots meeting their expectations. We decided to set the record straight and show the endless possibilities of ChatGPT chatbot solutions in different settings. This article covers the challenges in various sectors and how these AI-powered products help solve them.

Case 1: Airlines

All airlines, from Virgin Atlantic to a regional carrier, know customer relations are a cornerstone of their success. It’s essential to notify clients of delays and changes in booked flights. Local airlines rely on Facebook and WhatsApp for communication. This leads to data scattering and issues with quality client relations.

Well-tuned LLM chatbots improve this situation by gathering and storing previous conversations and vital client information. This leads to better customer profiling and relations. Aside from data collection, chatbots work like virtual assistants, ready to answer any questions about booked flights, including gate numbers and boarding time.

Should any changes occur, clients will receive instant status updates. Chatbots can also cancel flights or offer upgrades when those are available. If their help is insufficient, these solutions redirect clients to customer support experts. Chatbots automatically provide agents with all necessary data, cutting down time on getting to the root of the problem.

AI Chatbots for Airlines

Case 2: Banks

The US financial system isn’t going through its best times, which directly affects gas prices, groceries, utility bills, and other living costs. To make ends meet, some resort to taking loans or raking up their credit card debt. Others want to consult with the bank about their situation and how to improve it.

Financial institutions don’t always have the time to talk to clients in person. The same goes for customers, who often stay after hours at work. Both parties need a streamlined solution to share information with each other, and conversational chatbots are just what they’re looking for. With their help, it’s possible to easily solve different situations and streamline communication.

They use advanced NLP models to gather and structure user data, including account balances, upcoming payments, current plans, etc. This information helps track purchase habits and spot inconsistencies that may indicate outside access to the client’s funds.

AI-powered chatbots use semantic analysis to understand the user’s intent. For example, if they are desperate for help and need immediate assistance from live support experts. So, chatbots keep clients from financial troubles when contacted via websites, mobile apps, and social media pages. 

Case 3: Educational Institutions

Educational organizations often find themselves overwhelmed during applications, interviews, and onboarding new students. Filtering through thousands of candidates is challenging and often results in spending days answering emails, calls, and messages.

Modern ChatGPT chatbots serve a timely and cost-effective solution across these communication channels. They fully replace the Q&A segment and provide detailed information about various aspects of the learning process.

  • Admission and course registration. Chatbots help students with the admission process.
  • Enrollment and course information. Students browse, select, and enroll in available courses with help from these solutions.
  • Event notifications. Educational institutions use chatbots to notify the campus about workshops, events, seminars, and extracurricular activities.
  • Feedback gathering. Once students enroll, it’s possible to survey them through chatbots. The data they gather is crucial for improving the quality of service at the institution.

Case 4: Energy Providers

Despite the advances in the energy sector, its processes are still susceptible to external and internal factors. An occasional thunderstorm, a hurricane, or other weather event puts out the power for many hours. This is especially felt nowadays, with a significant portion of the population working from home. 

Whenever there’s a blackout, your firm gets flooded with emails, phone calls, and messages demanding to know when it will be resolved. And if the energy price suddenly goes up without people knowing, you’re in for a massive headache. Luckily, LLM chatbots perform various features without support agents.

Whenever an emergency happens, they automatically inform affected clients. This also comes in handy when there’s planned maintenance work on the way. Having them on the website opens a new communication channel to provide timely and helpful answers.

Pros and Cons of AI Chatbots

Case 5: Healthcare

Hospitals and healthcare institutions never take a break. They have to make room for more patients and deal with relatives checking up on them. It’s overwhelming, especially during the holiday season, with many people visiting the emergency room. The reception desk doesn’t always have the necessary staff to handle these circumstances.

That’s not accounting for the people seeking appointments, medical advice, or information about visiting hours. Luckily, healthcare institutions don’t need to overwork their employees. Chatbots efficiently perform all of these tasks, thanks to the advanced machine learning and artificial intelligence tech that powers them.

These organizations add such solutions to their mobile and web apps. With chatbots, it’s easier to make appointments, get general health information, and check initial symptoms. The software gathers information and tells users if they require hospitalization or need an appointment with a doctor.

Case 6: Insurance Providers

An average American spends around one thousand dollars per month on different types of insurance (vehicles, health, life, and long-term disability). Not everyone can afford this and wants to find carriers that don’t cost an arm and a leg. To stay competitive, insurance companies must attract as many potential clients as possible by offering budget coverage.

In the past, they spent hours talking to potential policyholders and trying to find the most suitable options. The current environment rarely allows this approach, with speed being a top priority for clients. State-of-the-art ChatGPT chatbots are the right solution for insurance firms to make this process more streamlined. They handle several processes.

  • Providing policy details. Chatbots instantly offer such information as premium calculations and coverage. This gives clients a more nuanced understanding of the options before them.
  • Processing claims. These solutions help clients with submitting insurance claims. They lead customers through the process, gather relevant data, and give updates on the status of the claims.
  • Giving recommendations. Chatbots evaluate customer information to provide policy options that correspond with their needs.
  • Detecting fraud. These solutions scan customer data for bizarre patterns and anomalies, helping to find potentially fraudulent claims.

Case 7: Legal Firms

Like insurance companies, legal firms rely on the volume of their clients. There’s no shortage of them, as people like to hear an expert's opinion about things that will influence their lives in the long run. Thus, they require consultations on marital contracts, filing for a business license, or buying real estate.

No matter how well your staff is versed in legal issues, there’s simply not enough time to cover everything during one-on-one talks. The level of inquiries is often overwhelming, resulting in delayed responses. Chatbots handle many requests by providing detailed answers about different issues. 

They also schedule appointments and gather initial client information. People explain what troubles them, what they already did to resolve the situation, and what kind of legal advice they require. For example, assistance in gathering documents for opening a small private enterprise.

Case 8: Logistic Firms

Companies don’t always have information on order statuses and tracking codes. The sheer scale of the global market inevitably leads to logistics issues caused by variables such as handling, inventory movement, and storage. That’s why customers sometimes experience delays or lose their order numbers.

If unaddressed, these issues turn into significant problems for everyone involved. Clients get irritated and flood your customer support chats and phone lines. This can be too much even for the most prepared companies, leading to bad reviews and canceled orders. There are several ways LLM chatbots solve this problem.

They are directly connected to the company database and other systems. This allows them to instantly find orders, track where they are, and how long delivery will take. This approach makes it easier for support experts to focus on more pressing issues and leads to a higher level of customer satisfaction.

Chatbot Workflow in Logistics

Case 9: Real Estate Companies

Recent economic setbacks might have struck the housing market, but many people are still looking into owning or renting a new place of residence. Each client comes with endless questions or requests about a particular property. They want to know things like:

  • How much will the rent/payments be?
  • Who will be responsible for maintenance and service?
  • Is it possible to renovate, and to what extent?
  • How many bedrooms does the property have?
  • Are pets allowed, and if so, which ones?
  • What is the minimum downpayment?

In the past, you had to painstakingly add this information yourself and keep track of it without software assistance. This often resulted in printing hefty catalogs you could barely lift off the table. The arrival of advanced chatbots made this process easier for businesses and their customers.

These solutions remember and process vast volumes of information without skipping a beat. Thus, they are a perfect tool for answering any customer queries, no matter how complex these might be. Many conversational chatbots also gather relevant customer data and better direct them down the support funnel.

Case 10: Travel and Hospitality

Once the COVID restrictions were lifted, travel and hospitality saw good growth worldwide. People started to travel across the US and abroad. This meant more clients were interested in lodging options, making reservations, and getting travel information. Tracking this data is hard, especially for small-scale firms without a big support staff.

The power of chatbots is strong enough to handle most customer inquiries. They help make reservations for hotels, rentals, and bed & breakfast lodging. For example, when someone wants to travel to Venice, these solutions provide the most affordable options based on the person’s overall budget and preferences.

People also ask chatbots for travel-specific data such as weather updates, guides, and visa requirements. This way, clients don’t spend their entire vacation locked up in a hotel while heavy rain batters at the windows. Chatbots also remember past bookings and make personal travel recommendations based on this information.


AI-powered bots are potent tools that improve and streamline many processes in different industries. Check them out, and you’ll see that they offer endless possibilities for your business.

Customer retention is the key

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What are the most relevant factors to consider?

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Don’t overspend on growth marketing without good retention rates

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What’s the ideal customer retention rate?

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Next steps to increase your customer retention

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