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Companies face many struggles in customer service such as language barriers, lack of personalized support, unable to solve issues swiftly, and so on. In order to solve these issues, companies are switching to automation using Chatbots, particularly ones powered by Large Language Models (LLMs). Thus, many LLM use cases have popped up across all industries.
If you think about it, LLM chatbots are the perfect tool for a business in terms of customer service. They answer questions in a personalized and informed way, through all the information the chatbot has. Not to mention, you can use LLM to track customer related analytics and such to further improve your client service.
In light of that, let’s talk more about the use cases of LLM for businesses and the real-world applications.
Large Language Model (LLM) is a technology that processes human language through data and emulates it. The idea behind an LLM is to create as much human-like content and responses as possible.
The LLM learns any human language by parsing through a ton of data. This data can be provided through a website, PDF, doc, databases, wikis or other documents. To utilize the power of an LLM, a chatbot is required that can receive queries and answer them appropriately.
There are plenty of use cases for LLM when it comes to businesses. Let’s first start with the use cases that you can use for any business and then address some unique use cases for different industries.
First, let’s start with the use cases that are applicable to most industries, as opposed to the industry specific ones.
Below are some of the use cases that are applicable for all businesses in different industries.
Utilizing LLM, you can improve your customer service leaps and bounds. An LLM chatbot can gather user data and past conversations to send customers personalized messages. Not to mention, they can be proactive in terms of messaging to customers as well as answering all the queries clients may have. AI Agents are quick and offer 24×7 support with great precision.
Thus, LLM creates more avenues of improvement for your business in terms of customer support. With this technology, you can personalize conversations, answer queries fast, enhance your chatbots, and more.
To harness the capabilities of LLM, you can use our products to improve your customer service. REVE Chat utilized this technology to be one of the best solutions in the market in the customer service industry.
LLM is a technology that is based on learning through data. That extends to learning about customers and the products that they like to buy or consume. Through the use of an LLM, a company can learn how a customer thinks and what their preferences are when it comes to products.
So, using these learnings, businesses can recommend products to a customer as they already know what a client wants. This strategy can be extended to all industries, ranging to E-commerce to even Telecom companies.
With this system, companies can offer the right account type to banking customers, the preferred products to E-commerce consumers, the perfect network offers to telecom users, and the list can go on. With LLM’s extensive learning capabilities, all of this is possible for a company to improve their business ventures.
LLMs can be trained in any language of your choice. Whether it be English, Spanish, French, Arabic, etc, an LLM is capable of training itself on the language and emulating it. This allows your business to transcend local and go global.
For this reason, there are many AI Agents that are made for this kind of operation. This is particularly true for what REVE Chat has to offer. Through our versatile and Brain AI-powered chatbots, we provide the best multilingual support that you would need for your business.
By employing LLMs, your business can reach out to different people to turn them into customers. This requires knowing about the customer and what they are interested in, which LLM can do for you.
Hence, through chatbots utilizing LLM, you can find out all the information about potential customers and then personalize offers to consumers to draw them to your business.
As an LLM can be trained with all forms of data, training them with financial information works the same way. Feeding it customer financial information can fast track quite a few things. One of them is loan applications.
Through the use of an LLM, a bank can swiftly identify whether a loan applicant is viable to receive one or not. Also, the bank can recommend a loan structure and amount to the applicant. LLM bridges the gap between agents and customers, ensuring a successful collaboration.
An LLM can be utilized to make onboarding easier for new customers, especially with so many details involved. A chatbot powered by LLM can really help with this as it can take all the information and sort it into the respective databases.
This way, a new customer does not have to go through all the process of filling out a physical form, visiting a bank branch and so on. Instead, they converse with a chatbot like ours, filling out an online form and allowing the LLM to do the rest, making an easier and organized process for both customers and banks.
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Imagine having so much data to go through and then finding meaning in that manually. Sounds really tedious right? Why not use an LLM for that? With how LLMs work, you can train it with any form of data, unstructured or structured. Since most financial data comes in numbers without much structure in many cases, you can use an LLM to sort it all out.
LLMs can not only learn the financial data but they can also provide insights into it after adding all the information into the knowledge base. With an LLM, you can turn what is an extremely tedious work to a more simplified solution.
Having an LLM trained in financial analysis not only gives insights into trends and the numbers, but it also helps you identify erroneous activity. In financial cases, outliers raise an eyebrow and an LLM can help identify these points of contention. Thus, an LLM allows your business to identify these occurrences and catch the bad actors.
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Using the power of LLMs, an E-commerce platform can learn about their customers and their preferences. Having known that, companies can leverage this information to offer special discounts and promotions to customers based on their needs.
This means pitching products that you know customers will like to them. Furthermore, this increases the chances of consumers buying your products because you already know that they would be highly interested in it.
Thus, sales assistance using LLMs can prove to be vital for E-commerce platforms to sell their product to the right consumers. In turn, your customers are satisfied, and your business is booming.
It can be quite tedious for customers to sift through all of your products to get what they want. This is more so for big ecommerce websites or stores where there are so many options but the customer wants something more specific.
In order to help with this process, a business could use an LLM chatbot to do just that. All that needs to be done is for the chatbot to initiate a conversation with the customer, allowing the customer to ask questions and the chatbot providing answers. Thus, utilizing an LLM chatbot for this purpose can really help your business.
As a telecom user who travels a lot, choosing a roaming plan is a hassle. You have to find out which plan suits you or talk to someone that can guide you through the process step-by-step. Both situations are a lot of work and an LLM can help improve this whole process for both customer and business.
For a customer, instead of talking with a customer care service about your needs, you can simply chat with an LLM-powered chatbot to learn all there is to know about roaming plans. It will not only recommend a plan based on your requirements but will also process it for you.
On the business end, you are able to provide better roaming plan service regardless of where your customers travel. Also, using an LLM, you can personalize these offers as well as remember past conversations for future use. This way, you are addressing a customer in a personalized way and giving them what they specifically want.
One of the bigger problems that telecom companies face is troubleshooting problems in real-time. Users can face a lot of issues when it comes to networks and companies have a tough time getting to solve all of them as it requires a tremendous number of resources and manpower.
So, utilizing an LLM, a company can simplify this process through advanced ticketing methods and resolving issues in real-time. Businesses can utilize LLM-powered chatbots to converse with customers to fix problems.
An LLM can be trained to solve regular or simple issues to reduce the workload from the company while they handle the more complex problems through an advanced ticketing system. So, with a multi-layered troubleshooting process, telecom companies will be able to solve issues faster and keep customers happy.
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When a student is cramming for an exam or doing a study review, they are in need of specific topical information as opposed to the whole lot. This is where an LLM, trained in all the educational materials, comes in.
It allows a student to access the specific information they want in a neat and concise way, allowing personalized learning. Also, such a system allows students to get information and study material when the teacher or professor is absent.
To enable students to learn better, an institution can make use of an LLM. It would fundamentally improve a school or university’s ability to promote a better learning ecosystem.
To implement this feature, an educational institution can use LLM-powered products like ours, just like iNeuron does. Using our products, iNeuron promotes personalized learning and allows students better access to study materials. Your institution can also make use of an LLM like iNeuron does and help students learn more and succeed in life.
You know what is extremely tedious for a teacher? Checking all those exam papers. A teacher or professor can have classes of 30 students or more and that means checking that many papers when an exam is taken.
To help with this process, your institution can use an LLM to make instructors and students’ lives a lot better. The LLM can be trained with information about the exams and all a teacher would have to do is scan the papers into the system and they all get automatically checked and graded.
Students would also benefit from this as they get to see their grades faster and even find out where they went wrong. Teachers are free from the hassle of marking each answer sheet individually and students can get their grades and feedback faster.
Thus, an educational institution can really use this to improve their system to provide both teachers and students a better place of learning.
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For patients, getting an appointment can be tedious. You have to call your local hospital or doctor’s office or mail them for availability. This process can drag on for a bit as the patient has no idea when the doctor will be available. LLMs can significantly improve this process.
Through the technology, an LLM can learn the schedule of a doctor or even multiple doctors. Then, utilizing a chatbot connected to the same LLM, a patient can book appointments by just selecting the date and time for the visit. No more calling or mailing, just simply use a form or a chatbot to get this process done fast. This entire process can be done through our versatile chatbot that utilizes LLM to optimize the scheduling process.
One of the bigger real-life challenges is informing the general populace about all the precautions and measures they need to maintain to avoid getting sick. The usual to-dos are generally known but there are still a lot of queries like guidelines for new diseases, learning about new medication, and such that always pop up.
An LLM can help any healthcare institution spread the word. You can utilize the LLM upfront by using a chatbot to offer help when asked about queries. Furthermore, an LLM’s capability to utilize information can be used for many marketing strategies to inform people about new dangers or guidelines to follow.
Overall, patients can converse with your institution directly to find out more and also get information on any new guidelines and precautions they may need to follow to avoid getting ill.
While we have laid out the many use cases based on industries, let’s go into where the different companies have made use of LLM.
One of the biggest ecommerce and retail industries in Bangladesh is Le Reve. Utilizing our products, Le Reve has optimized their entire business through the use of chatbots and enhanced inventory management.
Through our LLM chatbots, Le Reve provides personalized product recommendations, excellent customer support, proactive messaging, better inventory management, etc.
Utilizing our multilingual and LLM capabilities, STC is improving their business through the use of chatbots and live chat. Also, our LLM-powered products allow STC to improve their customer service with an advanced ticketing system, better payment process, and more.
Using REVE Chat’s products, STC is evolving as a telecom giant, providing better customer service to millions in this modern world.
Utilizing LLM, any company can improve their business in a variety of ways. As such, each industry has their unique use cases as well as some common ones that can be improved using LLMs.
The most important quality of LLM is all the information processing that can be utilized for any purpose, whether it be business improvement, or customer support. In that regard, knowing about your customers and providing personalized service is what LLM is great at.
This is where our chatbot shines as our products provide excellent customer service as well as providing multilingual support. Thus, conversing in multiple languages and utilizing our LLM to improve your business on multiple fronts is something you should consider.
To learn more about what our products have to offer, you can contact us for a free consultation or book a demo to see what we have to offer firsthand. For an even more hands-on experience, you can sign up for a free trial and experience the benefits of our LLM-powered chatbot and live chat.
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Mamunur Rouf is the Head of Product at REVE Chat. With extensive experience in product management, he focuses on creating innovative communication tools to enhance customer engagement and meet the needs of businesses worldwide.
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