KEYWORDS: ChatGPT, GPT4, LargeLanguageModels, AIForFashion, ChatGPTfashion, VirtualAssistant
Recently, “ChatGPT fashion” has become a phenomenal trend on Tik Tok, with over four billion views. Creators use ChatGPT to test if the tool is useful for fashion style advice.
In addition, people who saw business opportunities in “ChatGPT fashion” took the first step by setting out to build a chat-based AI styling app that tailors suggestions to each customer’s taste. Founders Sheena Virmani and Tianna Going said, “We worked with a team of developers and stylists to create a data set for this model that provides style advice, shopping links and shoppable mood boards.”
Despite people on Tik Tok finding ChatGPT to be a fun and inspiring tool as a virtual stylist, the AI chatbot still has its limitations.
Rae Hersey, a New York-based content creator, says the tool still lacks the kind of personalization that would make her swoon over an outfit formula. “I put in descriptive terms like ‘trendy,’ ‘cute,’ and ‘edgy,’ and I wasn’t sure I trusted ChatGPT’s opinion of what those things were.” She says.
Image Source: https://www.refinery29.com/en-us/2023/05/11374996/chatgpt-tiktok-fashion-trend-styling
Whether people admit it or not, the Large Language Models (LLMs) represented by chatGPT-4 are indeed sparking a revolution in the fashion industry.
1. How GPT-4 Changes The Fashion Industry?
GPT-4, which stands for Generative Pre-trained Transformer 4, is a multimodal large language model that generates text from textual and visual input, created by OpenAI.
👉 GPT-4 and beyond: the infinite possibilities of text-to-X
1.1 Virtual Stylists
The example above showed that individuals are able to use ChatGPT as a fun but not entirely reliable AI tool. But when it comes to business fields. It becomes more professional and trustworthy.
Some fashion companies are already using it.
For instance, when someone asks Tommy Hifiger’s AI chatbot for outfit suggestions, the chatbot not only offers the outfit but also shoes and accessories, just like a personal stylist.
YesPlz AI, a provider of AI-powered fashion solutions, also announced the launch of the ChatGPT Fashion Stylist.
According to YesPlz AI, users can communicate with the AI stylist in their natural writing style, while the fashion-trained AI bot knows the latest styles and brands and matches styling recommendations to products in a catalog. The system learns users’ specific preferences and constantly searches for the best product curation tailored to their tastes. 
Image Source: https://yesplz.ai/resource/introducing-the-worlds-first-ai-stylist-powered-by-chatgpt-for-fashion.html
Furthermore, sites like PromptBase, provide virtual stylist prompts that recommend the top fashion apps that allow people to virtually try on clothes and accessories based on their preferences. With brief descriptions, features, and user reviews of each app, people are able to find their perfect fit. 
By collecting LLMs like GPT-4 as basic AI tools and training data based on business scenarios, developing your own virtual stylist can bring benefits such as providing exclusive customer service faster and more efficiently, increasing customer loyalty, and enhancing brand value.
1.2 Virtual Shopping Assistants
In addition to virtual stylists, AI tools based on LLMs have enabled retailers to create virtual shopping assistants that provide customers with personalized recommendations, fashion trends and customized advice in real-time.
For instance, online fashion giant Zalando launched an AI fashion assistant, powered by ChatGPT that allows a select group of customers to ask questions using their own fashion terms and words. It provides customers with relevant products and allows them to have ongoing conversations to refine their results. 
Image Source: https://corporate.zalando.com/en/technology/zalando-launch-fashion-assistant-powered-chatgpt
In addition, more fashion retailers are using this technology to improve customer service and create a more personalized shopping experience.
Nordstrom’s virtual assistant “Nordy” and Saks Fifth Avenue’s virtual assistant”Saksbot”, can not only help customers to find the right size but also help to complete an outfit and provide styling advice. 
With the support of GPT-4, the fashion shopping experience can be dramatically transformed. Fashion companies and retailers are able to provide more personalized and tailored shopping experiences to their customers.
This leads to increase customer satisfaction and loyalty, as well as boosting sales.
As this technology continues to evolve and improve, we can expect to see more fashion companies and retailers adopting LLMs like GPT to better serve their clients.
1.3 Personal Fashion Designer
Trends and designs are two crucial roles in the fashion industry. However, GPT-4 can also take them to a whole new level.
GPT-4 can be used to identify patterns and trends based on its ability to analyze and interpret large data sets from multiple sources.
GPT-4 also has the potential to help fashion designers with their research and development.
For instance, using ChatGPT to generate ideas and Midjourney to turn words into images, people are already using these LLMs-based AI tools to create personalized T-shirt brands and designs.
👉 [Youtube] https://www.youtube.com/watch?v=hJDP2e8cxtw
In this case, these AI technologies save designers and fashion companies more time and effort. So they can focus more on their creativity and business.
In addition, thanks to the ability and vast source of LLMs, it is imaginable that in the future, by entering personal parameters such as body type, gender, interests, and fashion styles, AI chatbots can quickly generate potential designs that match each individual’s preferences and tastes.
Fashion companies and designers can not only save time and effort but also have the opportunity to provide exclusive and customized services to thousands of customers.
1.4 Other Implications: Marketing, Customer Service, Inventory Management, etc.
Using ChatGPT-4 to generate marketing materials, such as producing product descriptions, and generating social media text, creating ad copy and emails, is no longer a novelty.
In addition, it can also be used as a reliable customer service response, to offer instant, fast and accurate customer support.
For instance, fashion giants such as Louis Vuitton, Tommy Hilfiger, L’Oreal, Victoria’s Secret, and H&M have launched their own AI chatbots to provide assistance such as answering questions, sending guidelines, making recommendations, etc.
Image Source: https://jasoren.com/burberry-victorias-secret-tommy-hilfiger-how-major-fashion-retailers-experiment-with-chatbots/
When it comes to the fashion industry, inventory management is also a big issue due to the complexity of fashion categories, rapidly changing styles, and the large number of items in stock.
But the potential of LLMs like GPT-4 can be quite helpful to solve these problems. We will discuss this in the following article. Please stay tuned.
2. A Reliable Work Partner Is Necessary
ChatGPT-4 can be an inspiring and helpful partner, it can handle repetitive tasks with ease, saving a lot of time and effort.
But as a general LLM, it can’t be used directly, because it still has many limitations, such as inaccuracy and bias, as well as it hasn’t been trained or developed to meet your company’s own needs.
To find out how inaccurate and biased GPT-4 is, please read:
Unlike individuals, using Chat-GPT like chatbots or AI systems for business purposes is much more likely to affect the company’s revenue, reputation, and most importantly, customer trust.
Therefore, you need a reliable AI partner to help you collect, process, and label your exclusive data, save you time, and ensure the accuracy of your training data.
maadaa.ai, founded in 2015, is a comprehensive AI data services company that provides professional data services such as text, voice, image, and video to customers in the AI industry.
From AI data collection, processing and labeling, to high-quality AI datasets and dataset management, maadaa.ai helps customers to efficiently collect, process, and manage data, and conduct model training for rapid and cost-effective adoption of AI technologies.