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. 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

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 chatbot is trained on a large amount of data (570 GB, 175 billion parameters for the GPT-3 model). The dataset includes Internet data, code, and books; 
• Capabilities. ChatGPT has generative AI capabilities. It can create human-like text in various formats, including essays, articles, scripts, poems, emails, and pieces of code, as well as translate and re-write text pieces provided by users; 
• Limitations. The data for training is limited to the year 2021, so provided responses can be irrelevant or outdated.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.

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.

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.

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 capabilities to generate responses to prompts, translate, 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 to generate content and provide customer support.

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 model can use outdated data and sometimes generate plausible but meaningless responses.  While there are no serious effects in many cases, such fallacies can have serious consequences in medical advice, education, or science writing.

ML engineers overcome the limitations 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.

However, this scenario requires more resources:

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

ChatGPT fine-tuning is a powerful technique able to improve 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 a model for a client’s needs and guarantee complete confidentiality and predictable behavior.

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 idea individually.

ChatGPT Use Cases for Business

According to the survey, business owners consider ChatGPT a helping tool for various operations, including content generation, improving customer experience, decision-making support, and increasing web traffic.

Source: Forbes Advisor

The experience of our clients shows that ChatGPT implementation positively impacts customer experience, creates a personal touch, and often powers up brand perception. 

But how can businesses achieve these benefits with ChatGPT? The following stories will give you an idea.

Successful ChatGPT Implementation: CHI Software Experience

Let us see how to use ChatGPT 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. It offers many opportunities for online social interaction, such as hosting parties, enjoying 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 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.

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.

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 a ChatGPT-based chatbot. It engages users in friendly, non-judgmental, and informative conversations. 

Users can express their concerns and doubts while the chatbot answers their queries and provides detailed explanations. 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 users about the company’s updates and events through push notifications.

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 customer support automation.

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. 

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.

To address these challenges, we have developed a solution powered by ChatGPT that helps simplify and streamline the grant compliance process.

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 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.

Final Thoughts

ChatGPT is not only the latest craze. It is a powerful technology that helps businesses gain higher productivity, effective cost optimization, new sources of revenue generation, and better customer attraction.

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 use cases that best fit your needs and strategic goals.