Businesses often face challenges such as a high volume of inquiries, limited resources, and low customer satisfaction. Managing growing workloads without compromising quality is tough. However, using ChatGPT in the app can be a transformative solution to these issues.
By leveraging ChatGPT's advanced natural language processing capabilities, companies can automate the handling of routine inquiries, freeing up support teams to focus on strategic initiatives and enhancing customer satisfaction.
The Onix team has expertise in developing ML solutions for years using technologies based on natural language processing, computer vision, deep learning, and object detection. With the release of ChatGPT, we have expanded our expertise to include this technology as well.
Below, our experts share valuable insights on ChatGPT app development and practical tips on how to integrate ChatGPT into an app.
In this article, we:
- examine what makes ChatGPT so beneficial for the B2B industry
- share ideas for how businesses from various industries can use ChatGPT today
- explore how it can help you boost your business and achieve success
- explain how to create an app with ChatGPT integrated into it
Please keep reading!
AI-powered iOS app for the cosmetics industry built by Onix
Building a ChatGPT-Based App: Business Opportunities and Use Cases
How to Integrate ChatGPT Into Your App: Onix Development Tips
Costs to Integrate ChatGPT Into Your App
How Onix Can Help
Summing Up
FAQ
Building a ChatGPT-Based App: Business Opportunities and Use Cases
So, why use ChatGPT in Your App? Is it a worthwhile investment? Here, we aim to address these questions and illustrate profitable strategies for implementation.
Enhanced customer experience
ChatGPT can enhance customer experience by allowing people to get quick and accurate answers to their queries. It can save customers time as they don't have to search through multiple sources for the right answer.
Using ChatGPT in the app, businesses can offer round-the-clock customer support, addressing inquiries and resolving issues promptly. Use cases include:
E-commerce:
- Personalized recommendations. ChatGPT can analyze customer preferences and browsing history to provide tailored product recommendations, enhancing the shopping experience.
- Order tracking and updates. Customers can inquire about order status, shipping details, and any potential delays through the chatbot, offering real-time updates and reducing the need for manual inquiries.
Healthcare:
- Appointment scheduling. Patients can use the chatbot to schedule appointments, inquire about availability, or even receive reminders for upcoming visits.
- Symptom checker and triage. ChatGPT can assist patients by asking relevant questions about their symptoms and providing initial recommendations, such as home remedies or advising on seeking urgent medical attention.
Hospitality and travel:
- Booking assistance. ChatGPT can help users find and book flights, hotels, rental cars, and other travel services based on their preferences and budget.
- Travel recommendations. The chatbot can suggest destinations, attractions, and activities based on user interests, travel history, and trends.
Improved efficiency
Another benefit of using ChatGPT is that it enables businesses to be more efficient in managing their operations since they can automate tedious tasks such as FAQs, lead generation, and more. This leaves more time for employees to focus on other essential aspects of the business while always providing excellent customer service.
Here are use cases across various industries where integrating ChatGPT in an app can enhance efficiency:
Finance:
- Automated loan applications. ChatGPT can assist borrowers in completing loan applications, gathering required documentation, and providing real-time status updates on loan processing, streamlining the loan origination process.
- Customer support and inquiry handling. ChatGPT can handle routine customer inquiries regarding account balances, transaction histories, and general banking information, freeing up human agents to focus on more complex issues.
For example, Morgan Stanley, a prominent wealth management figure, leverages GPT-3 and GPT-4 capabilities to fuel an internal-facing chatbot. This chatbot is designed to conduct thorough searches across wealth management content, enabling advisors to distill insights into a format that is more accessible and actionable for their clients.
Travel and tourism:
- Route planning. ChatGPT can assist users in planning their travel routes, suggesting optimal transportation options, and providing real-time traffic updates, improving commute efficiency.
For example, recently, Expedia introduced conversational trip planning powered by ChatGPT, revolutionizing how members explore travel possibilities.
Users can engage in open-ended conversations through the Expedia app and receive tailored recommendations on destinations, accommodations, transportation options, and activities.
Moreover, the enhanced trip planning experience incorporates intelligent shopping features, automatically saving discussed hotels into a designated "trip" section within the app.
- Ticket booking. ChatGPT can automate ticket booking processes for flights, trains, buses, and other modes of transportation, simplifying the reservation process for travelers.
Education:
- Automated grading. ChatGPT can assist educators by automatically grading multiple-choice quizzes, assignments, and assessments, saving time and reducing manual grading efforts.
- Student support. ChatGPT can assist students with questions about course materials, assignments, and study resources, fostering a more interactive learning experience.
For example, with Duolingo Max, language learners can receive comprehensive explanations for their practice or test question responses, presented in natural language akin to insights from a human tutor.
Additionally, students can hone their language skills through interactive role-playing with AI personas. For instance, users can engage in scenarios like ordering drinks from a barista in a Parisian café, where each persona possesses distinct personalities and backstories, enriching the learning experience as users interact with them.
Personalized assistance
Integrating ChatGPT into apps can provide users with tailored recommendations, advice, and assistance, enhancing their experience and helping them achieve their goals more effectively.
Here are personalized assistance use cases across various industries:
Fashion and beauty:
- Style recommendations. ChatGPT can suggest outfits, accessories, and beauty products that match their style by analyzing users' fashion preferences, body type, and occasion.
- Virtual styling sessions. Users can upload photos or describe their desired look, and ChatGPT can provide personalized styling tips, makeup tutorials, and product recommendations.
Fitness and wellness apps:
- Customized workout plans. ChatGPT can ask users about their fitness goals, preferences, and available equipment to generate personalized workout routines.
- Nutritional guidance. Based on users' dietary preferences, restrictions, and fitness goals, ChatGPT can suggest meal plans, recipes, and nutritional advice.
Travel and hospitality:
- Destination recommendations. By understanding users' travel preferences, budget, and interests, ChatGPT can suggest personalized travel destinations, activities, and accommodations.
- Local insider tips. Users can ask ChatGPT for recommendations on restaurants, attractions, and hidden gems at their destination, receiving personalized suggestions based on their preferences.
Insightful data analysis
ChatGPT can offer insights into market trends, customer behavior, and other valuable data. This will enable companies to understand their customers’ preferences better and adapt their services accordingly.
Use cases include:
Market research:
- Survey analysis. ChatGPT can analyze open-ended survey responses to identify emerging trends, sentiment analysis, and common themes, providing deeper insights into consumer preferences.
- Social media monitoring. ChatGPT can analyze social media conversations to identify brand sentiment, customer feedback, and competitive insights, helping companies refine their marketing strategies.
E-commerce:
- Product review analysis. ChatGPT can analyze customer reviews, ratings, and feedback to identify product strengths, weaknesses, and areas for improvement, informing product development and marketing strategies.
- Sales forecasting. ChatGPT can analyze historical sales data, customer behavior, and market trends to forecast future sales volumes, enabling retailers to optimize inventory management and pricing strategies.
Finance:
- Market trend analysis. ChatGPT can analyze financial news articles, market reports, and economic indicators to identify market trends, investment opportunities, and risk factors, enabling informed decision-making by investors and financial institutions.
- Risk assessment. ChatGPT can analyze transaction data, credit histories, and market conditions to assess credit, fraud, and market risks, helping financial institutions optimize risk management strategies.
Stripe leverages GPT-4 to streamline user experience and combat fraud.
Stripe maintains a thriving community on platforms like Discord, which not only aids in resolving technical queries but also boosts developers' visibility for potential future projects.
However, due to the online nature of these forums, malicious entities often infiltrate, seeking sensitive information or attempting to regain credibility after being banned.
GPT-4 analyzes post syntax on Discord and flags accounts for follow-up by Stripe's fraud team to ensure they are not fraudulent actors posing as legitimate contributors. This helps identify coordinated malicious activity in inbound communications.
Increased engagement
Through automated conversations, customers can ask questions, make requests, and receive quick answers, given the context of the dialogue. Also, businesses can use ChatGPT to provide customers with helpful tips and advice related to their queries or requests, which can further increase engagement levels.
Here are some use cases:
Health and fitness:
- Personalized fitness plans. ChatGPT can generate personalized workout plans, nutrition advice, and goal-setting recommendations based on user inputs and fitness goals, encouraging ongoing engagement with the app.
WHOOP has unveiled WHOOP Coach, driven by OpenAI, for its members, marking the debut of the first wearable device to provide on-demand, highly personalized performance coaching.
GPT-4 now delivers remarkably tailored, pertinent, and conversational responses based on individual user data through meticulous refinement utilizing anonymized member data and proprietary WHOOP algorithms.
- Medical visit notes. During a patient visit to a healthcare provider, whether it's a doctor, nurse practitioner, or physician assistant, there's a need to efficiently capture and document the details of the encounter, including the patient's medical history, current symptoms, examination findings, diagnosis, treatment plan, and any follow-up instructions.
Summer Health has developed its latest feature for medical visit notes. This feature utilizes GPT-4 to generate visit notes from detailed observations recorded by doctors automatically. These notes undergo prompt review by pediatricians before being shared with parents.
Gaming:
- Dynamic storytelling. ChatGPT can power interactive storytelling experiences within games, allowing players to influence the narrative through dialogue choices and actions, increasing immersion and engagement.
- In-game assistance. ChatGPT can provide players with hints, tips, and guidance during gameplay, enhancing the gaming experience and keeping players engaged without disrupting the game's flow.
Media and entertainment:
- Content discovery. ChatGPT can personalize content recommendations for movies, TV shows, music, and articles based on user preferences, viewing history, and social interactions, increasing engagement with media and entertainment apps.
- Interactive conversational experience. Integrating ChatGPT into social messaging platforms can enhance the conversational experience, make communication more efficient and enjoyable, and provide users with valuable tools and resources to connect with others in meaningful ways.
For example, the widely-used Snapchat social messaging app has integrated conversational AI into its platform. Known as My AI, this bot is seamlessly integrated into users' friend lists and can be accessed anytime for assistance with inquiries or entertainment.
Snapchat suggests various uses for My AI, such as providing advice on selecting the ideal gift for a friend's birthday, assisting in planning a weekend hiking trip, or suggesting dinner recipes.
How to Integrate ChatGPT Into Your App: Onix Development Tips
The Onix team has expertise in building tailored AI models with specific parameters and algorithms, offering support for deployment, hyperparameter tuning, data preparation, performance evaluation, and scalability optimization.
In this section, our team is excited to share our firsthand experience with this technology and provide valuable insights on making the most of integrating chatGPT into your app.
Set up an account with OpenAI to obtain an API key
To get started with ChatGPT for app development, you must set up an account with OpenAI and obtain an API key. This will grant you access to the GPT applications, which you can use to develop your product.
To do this, you should follow these simple steps:
1. Go to https://chatgpt.com/, then click the 'Sign Up' button and enter your email address and password to create a new account.
2. Once the account is created, you must submit an application for API access. To do this, go tohttps://platform.openai.com/api-keys and click the 'Create New Secret Key' button. A popup window will appear where you should save this secret key in a safe and accessible location.
For security reasons, you won't be able to view the key again through your OpenAI account, so if you lose the key, you will need to generate a new one.
3. Copy and paste this API key into your application to use ChatGPT's powerful NLP capabilities. It's essential not to share your API key with anyone or reveal it in a browser or other client code for security purposes, as OpenAI may automatically rotate any API keys they find have become publicly available.
4. If needed, you can revoke the API key from your OpenAI account anytime.
Define the conversational flows
The critical step in ChatGPT application development is to design conversational flows to ensure the most intuitive and natural user experience possible.
In the design of your ChatGPT-based app, it's essential to create conversational paths that are straightforward, simple, and easy to complete. Additionally, each conversation should have multiple possible responses to ensure a smooth user experience.
Below, our experts share some techniques they use to define conversational flows effectively:
- Understand user intentions. We identify the primary reasons why users would interact with the chatbot. This could include seeking information, completing tasks, asking questions, or conversing on specific topics.
- Map out user journeys. Our specialists visualize the different paths that users may take when interacting with the chatbot. We consider various entry points, user inputs, decision points, and possible outcomes throughout the conversation.
- Define conversation starters. We determine how the chatbot will initiate conversations with users. This could involve greeting messages, prompts for user input, or proactive suggestions based on user behavior or context.
- Identify key topics and queries. Our team defines the key topics or domains that the chatbot will cover. We identify common user queries, questions, or tasks related to each topic and determine how the chatbot will respond to them.
- Create conversation branches. We define branching logic to handle different user inputs and scenarios. Also, we create decision trees or flowcharts to map out the possible paths the conversation can take based on user responses.
- Plan for error handling. Our experts anticipate potential errors or misunderstandings that may occur during the conversation. They define fallback responses, error messages, or prompts to help users recover from errors and continue the conversation smoothly.
- Incorporate personalization. We personalize the conversation based on user preferences, history, or context. The Onix experts tailor responses, recommendations, and suggestions to each user's unique needs and preferences to enhance the conversational experience.
Train and fine-tune the model
While pre-trained models like ChatGPT offer impressive capabilities out of the box, customizing and fine-tuning the model to suit your app's specific needs can significantly enhance performance.
Developers should fine-tune the model based on your app's unique requirements and user interactions. This may involve training the model on domain-specific data or adjusting parameters to improve accuracy and relevance.
Here's a general overview of how the Onix specialists train the ChatGPT model:
- Collect training data. Our team gathers a dataset of text examples relevant to your application's domain or use case. This dataset should include a diverse range of examples that reflect the types of interactions users will have with the chatbot.
- Preprocess the data. We preprocess the training data to clean and format it for training. This may involve tasks such as tokenization, normalization, removing noise or irrelevant information, and splitting the data into training, validation, and test sets.
- Fine-tune the model. We use the pre-trained ChatGPT model as a starting point and fine-tune it on your specific dataset. Our experts train the model using techniques such as transfer learning or fine-tuning, adjusting the model's parameters to optimize performance for your application.
- Define training objectives. Our team clearly defines the training objectives and metrics you want to optimize for. This could include metrics such as accuracy, fluency, relevance, or user satisfaction, depending on the goals of your application.
- Train the model. We train the ChatGPT model on your dataset using the defined training objectives and evaluation metrics. We monitor the model's performance on the validation set during training and adjust hyperparameters to improve performance.
- Evaluate model performance. Using the defined evaluation metrics, the Onix team evaluates the trained model's performance on the validation and test sets. We assess the model's ability to generate accurate, fluent, and contextually relevant responses to user inputs.
- Iterate and refine. We adjust the training data, model architecture, hyperparameters, or training procedures to address any issues or shortcomings identified during evaluation.
- Test in production. Once satisfied with the model's performance, we deploy it to production and test it in a real-world environment. Our experts monitor user interactions and gather feedback to refine the model further and improve its effectiveness over time.
Ensure data privacy and security
Ensure you adhere to the best data handling and encryption practices to protect user data from unauthorized access or misuse.
Here are key steps that help our experts to maintain data privacy and security:
- Data minimization. We collect and store only the minimum data necessary for the chatbot to function effectively. Our team avoids collecting sensitive or unnecessary user information.
- Encryption. We encrypt all data transmissions between your app and the ChatGPT service using industry-standard encryption protocols such as HTTPS/TLS. This helps protect data from unauthorized access during transit.
- Anonymization and pseudonymization. Our experts anonymize or pseudonymize user data whenever possible to reduce the risk of identifying individuals. We replace personally identifiable information (PII) with pseudonyms or aggregate data to protect user privacy.
- Audit logging. We maintain detailed audit logs of all interactions with ChatGPT, including user queries and responses. These logs can help track and investigate security incidents, compliance violations, or unauthorized access.
- Regular security audits. Our team conducts regular security audits and assessments of your app and infrastructure to identify vulnerabilities and weaknesses. We address any security issues promptly to mitigate risks and protect user data.
Costs to Integrate ChatGPT Into Your App
Building a ChatGPT-based app could involve different costs depending on various factors. Some factors that determine the cost of developing a ChatGPT app include the app's complexity, the developer's experience, the amount of time used to build the app, and the features included in the app.
- Complexity. If the app is complicated, it will take more time and resources to develop it, which means that the cost of building it will be higher. This is because creating an app with high complexity requires specialized knowledge of various programming languages, and this knowledge comes with a higher cost.
- Development team. Depending on the app's complexity, the size and expertise of the team may range from one or two experienced developers for a basic chatbot application to four to five experienced developers for a more complex virtual assistant. Whatever the size of the team and their level of expertise, costs will vary accordingly.
- Models. Each model has its own price and has different capabilities (optimization, more extended output and orderly execution of instructions, etc.). The price is formed by tokens, where 1000 tokens are approximately 750 words. The cost varies from 0.0004$/thousand tokens to 0.12$/thousand tokens.
- Project duration. The amount of time required to develop a ChatGPT app also plays a significant role in the cost of building it. The longer it takes to create the app, the higher the costs. This is because the developer has to spend more time working on the app, which means more resources are used.
- App functionality. The more features included, the higher the cost. Each additional feature requires more time and resources to develop and integrate into the larger app.
Read also: How to Create a Chatbot: The Ultimate Development Guide
How Onix Can Help
Onix has vast experience providing GPT development services that allow organizations to build and deploy custom-built artificial intelligence systems. We create custom AI models with the help of specific parameters and algorithms.
The СhatGPT API types we've worked with:
- Chat – is the base type for communicating with ChatGpt in a chat format.
- Completions – create a completion for the supplied hint and options.
- Edits – after receiving a hint and instruction, the model will return an edited version of the hint.
- Images – given a hint and/or an input image, the model will create a new image.
- Embeddings – get a vector representation of the given input data that models and machine learning algorithms can easily use.
- Audio – convert sound to text.
- Fine-tunes – tune and adapt the selected model to specific data.
- Moderations – analyze text for OpenAI policy violations.
Recently, our company has developed a chatbot that partially solves the tasks of an HR manager. Such a chatbot can act as an assistant that generates greetings for any holiday. We have specified { role: 'system', content: 'I am HR-manager it-company' } in the system message so the bot understands who it is talking to.
Request
Response
Result
Our services leverage the power of machine learning and AI to uncover insights, improve decision-making, and create breakthrough results.
Summing Up
ChatGPT is a powerful artificial intelligence-based natural language processing technology with great potential applications across different fields such as customer service, online shopping, education, virtual assistants, and healthcare. It helps businesses talk more efficiently and faster with customers or colleagues and automate certain tasks to save time and resources.
Additionally, it could also significantly improve patient care in the healthcare industry. As ChatGPT continues to evolve and develop, it will surely have an even more significant impact on various industries soon.
If you want to build an app with ChatGPT, get in touch for a consultation. Onix helps you explore unseen market segments, get measurable business value, and drive breakthrough results!
FAQ
What ideas for a ChatGPT-based app development and website creation are viable today?
ChatGPT can be used to help create customer support systems with natural language processing capabilities that allow customers to search for solutions or ask questions quickly.
It can also be used to automatically generate content such as blog posts, web pages, product descriptions, and more. Lastly, businesses can use ChatGPT to develop chatbot applications with conversational AI capabilities that enable users to have a more natural conversation with the chatbot.
How to optimize my budget when developing ChatGPT apps?
Optimizing your budget when creating an app with ChatGPT requires careful planning and cost management. You should develop a detailed budget plan that outlines the resources needed to create and maintain the app. This plan should include development time, hosting costs, development tools, marketing materials, and any other expenses related to the app.
Reviewing your budget regularly is essential to evaluate whether you are staying within your planned limits. Additionally, you can look into various cost-saving solutions such as open-source software, cloud services, and shared infrastructure.
What industries are best suited for using ChatGPT?
ChatGPT is best suited for industries that require a large amount of customer engagement, such as hospitality, retail, banking, and healthcare. Additionally, chatbot technology can be used in any industry where customers are looking for quick response times and access to information 24/7.
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