Top Chatbot Use Cases for Different Industries

Olha Kanishcheva ML/NLP Engineer, Researcher

It’s been only two years since ChatGPT’s stable public release, but chatbots have already become a part of everyone’s daily lives. Now, what about applications of AI chatbots in business? 

In 2024, the global healthcare chatbot market was estimated at USD 352.5 million. By 2033, this figure may grow more than four times over, reaching USD 1.4 billion. As for the e-commerce sphere, its chatbot market was estimated at 7.25 billion in 2024, with a possibility to grow by as much as tenfold, to USD 64.03 billion in 2034. 

There’s not much that needs to be said to convince businesses to adopt chatbots, except that we encourage you to evaluate your opportunities in AI assistant development today, while the market is poised for rapid growth and competition is heating up.

This article will introduce you to how to use chatbots for business in e-commerce, healthcare, education, manufacturing, FinTech, insurance, agriculture, and travel. But keep in mind, this is only the tip of the iceberg, as new use cases for chatbots continue to shake up the market every year.

Article Highlights:

• Amazon states that its recommendation engine generates 35% of the company’s revenue;
• Chatbots enhanced with predictive analytics can warn about potential problems before they occur, which makes AI tools particularly helpful in industries such as manufacturing;
• Powered up by robust security measures, FinTech chatbots are revolutionizing the entire spectrum of financial services, offering 24/7 consulting and immediate response capability;
• Lemonade, an InsurTech company, can process claims within three seconds thanks to the AI-driven assistant Maya.

Chatbots in E-Commerce

In the fast-paced world of e-commerce, timely and effective customer interactions become more and more challenging with scale. People turn to online shops for instant answers and easy buys – which chatbot use cases make it possible?

Virtual Shopping Assistants

All shoppers crave that moment when they visit a website instead of a physical store – but still have the experience of easy access to all the products and information they may be looking for. What if we told you that, with the right AI tool in your marketing strategy, you can easily provide an individualized approach, even online?

AI chatbots for e-commerce can guide your customers through product catalogs, answer questions about item specifications, and suggest complementary products. One of the most valuable chatbot use cases for business is their ability to be literally in your client’s pocket, available anytime to enhance customer experience and boost sales.

Chatbots used for e-commerce can provide an unprecedented personalization of online consulting.

For instance, CHI Software worked on an e-commerce chatbot that helps shoppers find the perfect shade of lipstick or foundation based on their skin tone and preferences. This level of personalized assistance not only enhances the shopping experience but also boosts sales and customer satisfaction.

Personalized Product Recommendations

Personalized product recommendations are now more accessible thanks to  AI in e-commerce. By analyzing a shopper’s browsing history, purchase patterns, and preferences, chatbots can suggest items your customer is likely to love. 

Personalization is one of the most impactful AI chatbot use cases, as it makes your audience feel genuinely valued, making it almost impossible to say ‘no’ to the possibilities of such an experience. 

A real-life chatbot use case comes from Amazon, whose recommendation engine, powered by AI, generates 35% of the company’s revenue. This is how effective just one tool can be in driving sales through personalized suggestions.

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Instant Order Tracking and Support

Gone are the days of endlessly refreshing tracking pages or waiting on hold for customer service. With the power of generative AI in retail, chatbots can now provide instant order tracking and support, answering queries about shipping status, return policies, or product availability in seconds.

For example, Pizza Hut’s chatbot allows customers to track their orders in real-time and even make changes on the fly. This level of convenience and responsiveness is what businesses use chatbots for. It’s a great chance to grab a piece of the big market pie and captivate the audience.

Chatbots in Healthcare

In the realm of healthcare, chatbot use cases bring an innovative approach to communicating with medical personnel and optimizing operations. What difference can it make? Healthcare has become more accessible for a wider circle of patients. Let’s check out what exactly is going on.

24/7 Symptom Diagnosis and Triage

It’s something we couldn’t imagine just several years ago – medical aid when a person needs it the most, right in the moment. Custom chatbot solutions won’t replace doctors, of course, but they make healthcare more accessible. Here’s what AI assistants can do for patients:

• Quickly assess symptoms and suggest appropriate actions;
• Reduce unnecessary ER visits by directing patients to suitable care levels;
• Provide peace of mind for minor health concerns.

A good example is Ada Health, an AI-powered chatbot that analyzes symptoms from the user’s data input and provides potential causes and suggestions for the next steps. The app uses a vast database of medical knowledge and asks dynamic questions to refine the assessment.

Medication Management and Reminders

Keeping track of multiple medications can be challenging, especially for older adults or those with chronic conditions. But it’s not an issue anymore with medication management chatbots. These assistants are among the many real-life chatbot use cases that can ensure patients never miss a dose and better stay on top of their health regimen.

Chatbots can send timely reminders, answer questions about potential side effects, and alert caregivers if doses are missed. These features put patient support on a whole new level and can often significantly improve patient safety.

Use cases for chatbots in healthcare make medication management more personalized and easy-going.

Let’s look at MyTherapy as an example. This convenient mobile app combines a medication reminder system with health-tracking features, such as symptom and mood monitoring. Another helpful capability is generating PDF reports that can be shared with a doctor. The conversational experience available through a chatbot makes the user experience more personalized and engaging.

Appointment Scheduling and Coordination

Hold times and playing phone tag with receptionists are officially a thing of the past, thanks to chatbot development services. Appointment scheduling chatbots with a user-friendly interface are here to smooth out the process, helping patients book, reschedule, or cancel appointments. These bots can:

• Check provider availability in real time;
• Send appointment confirmations and reminders;
• Handle pre-appointment questionnaires.

In the end, everyone is happy: patients don’t waste their time waiting, while medical personnel get rid of repetitive tasks that steal precious moments of productivity.

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Chatbots in Education

AI and its part – intelligent bots – are not the first technologies used in modern education, but they bring the most value. Here’s how.

Tutoring and Homework Help

Instant access to tutoring help whenever a student needs it – how impressive is that? This application of AI chatbots can break down complex topics, offer step-by-step solutions, and even provide practice problems tailored to a student’s needs. 

Using chatbots in education can provide faster access to educational materials and comprehensive explanations.

For example, the CHI Software team developed a chatbot for educational institutions that offers instant support to students, helping them navigate course materials and clarify questions or doubts at any moment in time.

Personalized Learning Programs

Any experienced teacher knows that one size does not fit all in education, and chatbots are here to create more individualized learning journeys. Virtual assistants can suggest personalized study plans and resources by analyzing students’ performance, interests, and learning styles. This way, each student can progress at their own pace and focus on the areas where they need the most improvement.

For instance, Quizlet offers a chatbot-like feature called Q-Chat that uses AI to help students prepare for tests. The assistant creates customized study plans based on deadlines and performance in practice sessions.

Administrative Task Automation

Teachers and administrators are often bogged down in repetitive tasks, which ultimately harms educators’ attentiveness and focus. Companies using chatbots can lighten this load significantly and allow educators to do what they do best – teach. 

Georgia State University incorporated a chatbot called “Pounce” to help newcomers navigate their way to education. The chatbot reduces “summer melt” by answering student questions about admissions, housing, and financial aid.

Chatbots in Manufacturing

Manufacturing is hardly the first industry that comes to mind when discussing AI and chatbot use cases. But even here, AI assistants have proven their value in process optimization. Combined with other AI technologies, chatbots are making manufacturing environments more secure and predictable. Let’s take a closer look.

Inventory Management and Ordering

Chatbots for business are really good at keeping things in order: they can instantly provide real-time product stock levels, predict when supplies might run low, and automate reordering processes. The workflow may look something like this: an employee gets an alert from a chatbot when a crucial component is dwindling, and after that – a notification suggesting the optimal time to reorder.

Essential Chatbot Requirements for AI Projects Read more

Predictive Maintenance and Troubleshooting

With smart assistants, you can analyze data from sensors and equipment to forecast potential breakdowns before they happen. That’s how predictive maintenance works. Staying “one step ahead” doesn’t have to be just an empty expression anymore.

When issues do arise, chatbots can guide technicians through troubleshooting steps, reducing downtime and keeping your production lines humming.

Employee Onboarding and Training

Finally, using chatbots helps manufacturers onboard and train their workforce, with the ability to apply natural language processing (NLP) in ERP systems for better communication and data access. The tools can provide round-the-clock access to training materials, answer FAQs, and simulate real-world scenarios for practice. Chatbots not only speed up the learning process, but also ensure consistency in your employee education across all departments.

BMW Group presented its AI assistant Factory Genius with the goal of driving knowledge and innovation within the organization. Factory Genius can answer complex questions and offer solutions to emerging issues. From now on, BMW Group employees don’t have to scratch their heads, not knowing what to do next or whom to ask their questions. The answer is in the palms of their hands. 

Chatbots in FinTech

Finance is a major part of our daily lives, whether we are managing a personal budget or making critical or everyday business decisions. Smart assistance in financial services feels like a natural fit, doesn’t it? Chatbots used for FinTech help automate a lot of repetitive tasks, detect fraud, and improve users’ financial literacy. 

Automated Financial Advice and Planning

Most of your customers can benefit from automated financial advice, and now they can get their personal financial managers. AI-powered assistants can analyze spending habits, offer budgeting tips, and provide investment advice. 

Let’s look at the example of Fargo, a virtual assistant provided by Wells Fargo. Along with answering FAQs, the chatbot gives the bank’s clients an easy overview of their spending, balance forecast, and bill management in one place.

Fraud Detection and Prevention

In the fight against financial fraud, studying the best chatbot use cases can be an invaluable resource. Chatbots can monitor transactions in real time, flagging suspicious activities and alerting both customers and financial institutions. Some chatbots even use machine learning algorithms to adapt to new fraud patterns in order to outsmart cybercriminals. Imagine how this approach may strengthen your reputation and customers’ loyalty!

Loan Application and Approval

The loan application process is typically stressful for users – but can it be made into a pleasant experience? We have good news for banks and their clients: AI assistants can guide applicants through the entire loan application workflow, from initial inquiries to document submission. This application of chatbots can instantly pre-qualify clients based on information they provide, speeding up the approval process.

FinTech companies using chatbots can both automate repetitive tasks and accelerate routine operations.

For instance, in a case study by CHI Software, a digital assistant was developed for a UK bank to handle various customer queries, including a wide range of loan-related questions.

Chatbots in Insurance

Insurance processes have long been associated with stressful bureaucracy. But it doesn’t have to be like that in the 21st century. After all, chatbots are here to make our lives easier. Filing a claim or picking a policy? Chatbot use cases can cover it all, providing your clients with the best service speed and experience. 

Policy Information and Claims Assistance

Chatbots can serve as virtual insurance agents, consulting your customers on policy information and guiding them through the claims process. This is one of the most practical uses of chatbots, as these AI assistants work round the clock, ready to answer questions whenever your customers need them. 

Let’s look at the chatbot use case provided by HDFC Life. The WhatsApp-based Etty Bot helps with everything policy-related in several languages. The tool has a powerful natural language processing engine to better understand the queries’ context and a comprehensive knowledge base for the most precise answers.

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Risk Assessment and Underwriting

Chatbots are also useful for much of the behind-the-scenes work of insurance companies. Thanks to advanced machine learning algorithms, assistants can quickly analyze vast amounts of data, easily processing thousands of variables much quicker than human eyes can read, in order to assess risk and assist in underwriting decisions. Combining the speed of AI analytics with the necessary human judgment achieves outstanding results for insurance companies.

Chatbot Development Pricing Based on Real Cases Read more

Automated Underwriting and Quoting

How can a similar chatbot application look on the customer’s side? The scenario is the following: a client gets an instant auto or home insurance quote after a quick talk with an AI assistant. This is a perfect example of how a chatbot is used by businesses to gather necessary information, crunch the numbers, and provide personalized quotes in minutes. 

InsurTech companies using chatbots can process claims in seconds – Maya by Lemonade has proven it.

Lemonade, an innovative InsurTech company, uses an AI chatbot named Maya to deal with everything from policy purchases to claims processing. This tech-savvy approach has allowed Lemonade to process claims in as little as three seconds!

Chatbots in Agriculture

You might be wondering, “What can chatbots do for farmers?” As a highly risky industry, agriculture stands to benefit greatly from artificial intelligence. Remember that chatbots are very knowledgeable and always learn on the go. Here’s how these capabilities can help agricultural businesses. 

Smart Crop Management

Clever bots can provide real-time advice on crop management, helping farmers make informed decisions about planting, irrigation, and harvesting. ChatGPT use cases for farmers can analyze data from various sources simultaneously, including weather forecasts and soil sensors, to suggest optimal times for different farming activities.

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Pest and Disease Control

One of the most practical applications of chatbot technology in agriculture is pest and disease control. Bots can help identify potential threats to crops by analyzing symptoms via images of plants, using computer vision algorithms.

After the analysis, a chatbot can offer personalized recommendations for treatment and empower farmers to make quicker and more informed decisions about their harvest.

Plantix is a standalone app ecosystem used by farmers worldwide to help with crop diagnosis and treatment. All the user has to do is upload a photo of a potentially damaged or sick plant, and the results will come in less than two seconds. According to the app’s creators, Plantix can analyze 82 kinds of crops, detect abnormalities, and offer treatments for more than 780 diseases.

Market Insights and Price Forecasting

Chatbots are also helpful when an agricultural business needs valuable market insights. AI tools can keep farmers updated on commodity prices, supply and demand trends, and predict future market conditions. This information alone is enough to help organizations make strategic decisions about when to sell their produce for maximum profit.

Chatbots in Travel

We have so many questions when we’re planning a new vacation, and after it begins. And it’s not surprising: we’re venturing into unfamiliar territory, full of new experiences and uncertainties. But before that, we have to hunt for those tickets and find the perfect place to stay. The struggle feels real, right? But businesses can make the whole experience much more pleasing with chatbot use cases – and here’s how.

24/7 Customer Support With Individual Recommendations

All travelers have been there – preparing for a trip and having a burning question at 2 AM. Chatbots are rushing to help! They answer queries about bookings, amenities, and local attractions. And you know what else would be great? Get instant personalized recommendations! 

Here’s an example for you. Expedia launched a ChatGPT-powered chatbot to help travelers plan their vacation experiences from A to Z. Through a casual conversation interface, users can get recommendations on where to go and places to stay when visiting a new location. And there’s more: the chatbot automatically saves information from a conversation to smoothly guide travelers toward the hotel’s booking on Expedia’s platform.

Streamlined Bookings

However, the booking process is not limited to hotels, which is the trickiest part. Wandering from one page to another to finalize reservations for flights, rental cars, and activities is often exhausting. This issue highlights one of the most valuable chatbot uses for business: guiding travelers through the booking process and helping them find the best deals by comparing prices across platforms.

Priceline is now beta testing a chatbot named Penny (you can find it right on the platform’s starting page) that helps travelers book hotels and find the best deals. What differentiates Penny from Expedia’s chatbot is that users can finalize their bookings right from the chatbot’s conversation window – all thanks to robust security measures.

Summing It Up

You’ve seen it yourself – the scope of chatbot uses is surprisingly wide. Our article mentions only eight industries, but chatbots’ impact can be noticed in practically any field of business.

There’s likely a chatbot application for small and medium-sized businesses (SMBs) that can optimize your processes and boost customer satisfaction. Remember that the key is identifying where a chatbot can add the most value in your industry. So are you ready to take the plunge? 

If you choose to partner with CHI Software, our team will be by your side from the project initiation to the continuous software support (or at any stage in between). By the way, you can try out the chatbot on our homepage to see our developers’ work in action.

So, are you ready to join the chat? Leave your questions and ideas in this contact form.

About the author

Olha Kanishcheva ML/NLP Engineer, Researcher

Olha boasts a decade-long journey in NLP, currently serving as a researcher at Jena University and a Consulting ML/NLP Engineer at CHI Software. Her expertise extends to various realms of NLP, including text summarization, named entity recognition, and keyword extraction. Olha's Ph.D. thesis explored knowledge representations and information retrieval in librarian systems.