Beyond Conversations: Exploring ChatGPT Capabilities in Business

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Alex Shatalov Data Scientist & ML Engineer

ChatGPT creates a buzz! The solution gained 100 million users two months after its launch, bringing public attention to the generative AI niche.

Business is enthusiastic about the benefits of various ChatGPT use cases too.  97% of business owners believe the technology can improve at least one aspect of their business, and 90% expect benefits from ChatGPT utilization this year.

How can your company benefit from ChatGPT integration? We will help you figure it out. At Chi Software, we offer Generative AI consulting services to help you leverage this powerful tool effectively. Below, you will find the advantages the tool brings to the business, illustrated with five ChatGPT application scenarios for telecom, media, tourism, and retail.

ChatGPT Briefly Explained

The generative pre-trained transformer (ChatGPT) is a large language model chatbot developed by OpenAI. It was publicly launched at the end of 2022 and quickly gained popularity. Today, about 13 million users use ChatGPT daily.

Here are the key features of ChatGPT:

• Vast dataset. The ChatGPT’s training data consists of a large amount of information (570 GB, 175 billion parameters for the GPT-3 model). The dataset includes Internet data from search engines, code, and books; 
• Capabilities. ChatGPT can generate human-like text. It is proficient in content creation, including student essays, blog articles, scripts, poems, and emails. It can write code, create follow-ups, help with questions regarding personal finance, as well as language translation and rewriting text pieces provided by users; 
• Limitations. The text data for training is limited to the year 2021, so provided responses can be irrelevant or outdated. Moreover, the technology can generate offensive or harmful content and sometimes give users plausible but false information due to the effect of hallucination.

To summarize, OpenAI created a valuable tool for generating ideas. It can understand and respond in a natural language. It can help people adapt to the rapidly evolving landscape of various industries. Writing ChatGPT prompts does not require any previous knowledge, making it accessible to any user.

ChatGPT is not one of a kind and has a number of competitors, but it stole the thunder by being the first free-for-public generative AI tool. Today, ChatGPT is available as a web application, an Android and an iOS app, and an integration API.

Recently, OpenAI monetized access to ChatGPT. The free version still exists, although it provides limited features compared to the paid version. It is also important to note that API integration does not come with a free version.

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Though model limitations are unavoidable, they can be significantly reduced when additionally trained by experienced AI/ML engineers. We widely use this approach for our clients. As a leading team of Generative AI developers, Chi Software specializes in refining and customizing generative AI models to meet the unique needs of our clients, ensuring optimal performance and enhanced capabilities.

ChatGPT API: How to Integrate AI Capabilities Into Your App

Depending on available resources and your ambitions in AI, ChatGPT can be implemented in your software through the OpenAI API or as a customized solution based on this API. If none of these options fits your case, we advise building a model from scratch. 

There are no two businesses alike. Therefore, we use all three approaches in our practice depending on the case. Let us dive deeper into the details.

Scenario 1: Using ChatGPT API from OpenAI

The ChatGPT API is a RESTful API. It provides endpoints allowing developers to interact with GPT models and use its natural language processing capabilities to generate responses to prompts, language translation, or answer users’ questions.

The ready-to-use API from OpenAI is the simplest, fastest, and low-priced option for adding ChatGPT capabilities to your app. In this case, OpenAI does all model training, so no ML engineers are involved, and you need only software developers to integrate the API.

The ChatGPT model already has a lot of general knowledge, so in many cases, it is enough for content creation and providing customer support.

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However, integrating a ready-made API comes with several challenges. The most significant of them is limited control over the model’s behavior. 

Without additional training, the ChatGPT generates based on outdated data, and sometimes, the results are plausible but meaningless responses.  While there are no serious effects in many cases, such fallacies can have serious consequences in medical advice, education, or the research process for science writing.

ML engineers overcome the limitations of ChatGPT with additional training on relevant datasets.

Scenario 2: Fine-tuning the model 

Fine-tuning in machine learning is a process during which a pre-trained model is additionally trained on a large dataset provided by a client or gathered specifically for a project. The purpose of fine-tuning is to improve the performance of a certain task. It is similar to a new employee’s onboarding training after being hired.

Fine-tuning helps achieve the following:

• Improved accuracy of predictions due to the better ‘understanding’ of a sphere and tasks involved;
• Increased output relevance because of highly relevant data involved in training;
• Reduced bias of the outcome.

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However, this scenario requires more resources:

• Time, as model training can be time-consuming;
• Dataset, as fine-tuning, requires high-quality, relevant information about a certain task;
• Computational resources for training;
• ML expertise, as model training involves additional help from engineers.

ChatGPT fine-tuning is a powerful technique that gives more control over the performance of various machine learning models. This approach is cost-effective and provides higher accuracy and improved performance.

Scenario 3: Building a Model from Scratch

Building a model from the ground up gives full control over the model architecture, training data, and hyperparameters. This approach allows us to create an AI system for a client’s needs and guarantee complete confidentiality and predictable behavior.

Not sure what integration option to choose? We are here to explain the details Book a free call with our expert

Custom models solve tasks not covered by ready-made solutions similar to ChatGPT.  However, building a model from scratch can be extremely time-consuming and resource-demanding, so the final decision should be made for each business goal and idea individually.

ChatGPT Use Cases for Business

According to the survey, business owners consider ChatGPT can help in various operations, including content creation, improving customer experience, decision-making support, and increasing web traffic.

Source: Forbes Advisor

The experience of our clients shows that ChatGPT can help positively impact customer experience, create a personal touch, and often power up brand perception. Businesses can leverage ChatGPT to enhance customer engagement, but it’s crucial to prioritize AI chatbot security to protect sensitive user data.

To get a better understanding of how businesses can achieve these benefits, let’s look at some ChatGPT use cases.

Successful ChatGPT Implementation: CHI Software Experience

Let us see ChatGPT use cases in practice. We gathered the best examples from our experience to illustrate the vast capabilities of this technology.

ChatGPT-Powered Companion

During the COVID-19 pandemic, our client, a media startup from the USA, launched a social media platform designed as a nightclub. Contrary to regular social media platforms, it expands interactions by giving the ability to host parties, enjoy music and videos with friends, and chit-chatting.

Later, we integrated a Virtual Companion function powered by a fine-tuned ChatGPT model. The Virtual Companion communicates with users through AI-generated text. It generates responses in a natural and engaging manner and can adopt one of four patterns:

• emotional support featuring active listening and empathetic responses to users who may seek someone to talk to or share their feelings with;
• personal assistance in managing to-do lists, setting reminders, scheduling appointments, and providing information on request;
• language practice assistance, such as grammar exercises, vocabulary training, and pronunciation practice;
• entertainment mode in the form of engaging social interactions, i.e., trivia and online board games, storytelling, and sharing jokes.

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Our ML team trained the model extensively on vast amounts of conversational data so that the Virtual Companion could perform various roles based on user expectations.

Personal touch helped increase customer loyalty and user engagement (+10%), resulting in a positive market image and increased in-app sales.

ChatGPT for Personalized Recommendations

Many shoppers seek expert advice while choosing skincare and beauty products. To stimulate purchasing decisions, our client, a cosmetic retailer based in the US, decided to release an AI mobile app that would analyze buyers’ selfies, examine their needs, and recommend the best products.

In this case study, CHI Software developed a mobile app that leverages the capabilities of computer vision, photo face recognition, and a ChatGPT-powered recommendation system.

A user takes a selfie, and the AI-based mobile app analyzes facial features in the photo, identifies specific skincare concerns, and suggests potential solutions. Users can provide additional information through text or voice input to enhance recommendation accuracy.

Based on the gathered data, the app generates highly-personalized product recommendations presented through an AI chatbot. It engages users in friendly, non-judgmental, and informative conversations.

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Chatbot can answer customer queries and provide detailed explanations while listening to users’ concerns and doubts. The app also collects user feedback to improve the model and future outputs.

As a result, our client reported increased sales, positive client feedback, and optimized inventory management.

ChatGPT-Powered Chatbot 

Choosing an internet plan is hardly exciting for anyone. Still, our client, an internet and mobile communication provider from Japan, has found a way to make it fun. 

The company introduced a positive cartoon-like character Kopenchan as a user support assistant. 

Powered by the ChatGPT model, Kopenchan can communicate, learn, and develop new vocabulary. The character utilizes chat history to understand the context, responds to requests, and informs the target audience about the company’s updates and events through push notifications.

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Although the cartoon chatbot may seem like a nice-to-have addition to the app, it has significantly impacted business metrics. Our client has reported increased customer satisfaction, improved engagement, and operational cost savings of up to 20% thanks to AI-generated customer support.

Geosocial App with ChatGPT-Based Recommendations

Our client, a social media startup from the US, introduced a geolocation app recommending events nearby based on the user’s location, time, and personal preferences. 

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The content is broadcast from the user’s location via the Internet and organized as a calendar.

The app automatically recognizes the user’s location, date, and time thanks to named entity recognition (“What,” “Where,” “When”) or a voice assistant powered by ChatGPT. Based on the inputs, users receive a crafted list of recommendations, answers to their inquiries, and even relevant street sign translations.

Virtual Assistant Powered by ChatGPT

Many businesses and non-profit organizations heavily rely on grant support to fund their operations. However, applying for grants can be complex and time-consuming, requiring careful guidance and specific knowledge.

This case study shows how CHI addressed these challenges. We have developed a solution powered by ChatGPT that helps simplify and streamline the grant compliance process.

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The ChatGPT-enhanced personal agent is crucial for grant seekers. Here is how it helps:

• Guidance through the compliance procedures, providing step-by-step instructions and ensuring all necessary steps are followed correctly;
• Real-time updates regarding deadlines and any changes in regulations, ensuring grant seekers stay informed and will adjust their applications accordingly;
• Documentation review to remove errors and typos as well as provide feedback and suggestions to enhance the application’s quality and accuracy;
• Facilitation of effective communication between grant seekers and compliance authorities, ensuring smooth and transparent interactions.

Organizations can use the tool to optimize their time and employee resources, as the solution automates and streamlines many aspects of the application process. It enables candidates to focus more on their core activities, ensuring that their grant compliance procedures are handled with care and attention.

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ChatGPT-Powered Beauty Platform

Online shopping is the most convenient way for consumers to buy products. However, that doesn’t extend to items that consumers might want to try before buying. A great example of such items are skincare products and makeup. 

Our client from the US had relied on offline cosmetics purchases for a long time. They had to train a vast group of consultants that could provide guidance for shoppers. However, training takes a lot of time and directly impacts business profits. 

They contacted us to create a beauty platform with AI-powered tools. One of those features was a cosmetics consultant bot. The main goal of this chatbot was to provide users with consultations and the ability to reply to FAQs. It also should serve as a recommendation system.

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Let’s look at how the business was impacted by this development:

• Improved customer service: the chatbot enhanced customer engagement through personalized assistance and recommendations;
• 24/7 service availability: unlike human consultants, this virtual assistant works around the clock and always can help customers;
• Efficient support: by addressing a big portion of customer issues, the solution frees up time for other workers to focus on more complex tasks;
• Increased cross-selling and upselling: our client increased revenue by 10% thanks to the chatbot’s promotion of complementary and higher-value products.

Overall, our case study shows that ChatGPT-powered chatbots can automate repetitive tasks and reduce operational costs. They maintain quality customer service and enhance customer engagement through personalization. 

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Summaries by ChatGPT

While shopping online, potential customers encounter a lot of product reviews. However, according to statistics, only 20% of people actually read them. The main reason lies in customer attention span. 

This is the problem Newegg decided to solve. They utilized ChatGPT capabilities to create quick review summaries and present them in bite-sized pieces. The algorithm “reads” through reviews and highlights the most relevant keywords, for example, “bad quality” or “good price.” Furthermore, by clicking on the keywords, shoppers can read the full review linked to them.

This case study shows the power of ChatGPT to help customers make informed decisions about the products they buy. At the same time, highlighting relevant keywords about the item creates helpful insights for sellers on what to improve.

Personalized Learning with ChatGPT

Duolingo has more than 88 million daily active users, but hardly all of them know that the app has partnered with OpenAI and is now one of the first organizations to release a ChatGPT-4 powered product officially. It comes in the form of two new features.

The first feature gives users AI-generated in-depth explanations of why their answers were correct or incorrect. These explanations are presented in natural language as if the user were talking to an actual tutor.

The second feature allows learners to practice their language skills. ChatGPT role-plays as an AI persona and creates mundane situations, like ordering coffee or having small talk. Each AI-powered character has its own personality and behavior, making interacting with them even more engaging.

Collaboration between OpenAI and Duolingo created an interesting case study. It has put Duolingo one step closer to creating a personalized tutor for each of its users, all thanks to ChatGPT capabilities.

Final Thoughts

ChatGPT is not only the latest craze. It is a powerful AI technology that helps businesses gain higher productivity, effective cost optimization, new sources of revenue generation, and better customer attraction. Its creative writing can help users and businesses alike. From generating meta descriptions and keyword ideas to translating one language to another – the power of ChatGPT is almost limitless.

No two businesses are alike, and every AI adoption case is unique. To understand how to use ChatGPT in your tech infrastructure most effectively, some trusted guidance will come in handy. 

Our AI/ML engineers will help you with the trickiest cases for your business to overcome existing challenges and outrun competitors. Contact us for a free consultation about the  ChatGPT integration services and ChatGPT use cases that best fit your needs and strategic goals.

About the author

Alex Shatalov Data Scientist & ML Engineer

Alex is a Data Scientist & ML Engineer with an NLP specialization. He is passionate about AI-related technologies, fond of science, and participated in many international scientific conferences.