Trying on Clothes with Chat

10

October

2025

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I feel like every day I’m introduced to a new model of AI, and I need to make a conscious effort to keep up with it, especially to get the most value out of my ChatGPT subscription. Before starting this course, I had never really thought about the differences between General AI, Generative AI, Deep Learning AI, and so on. However, I’ve become much more aware of the types of AI I use in my daily life and how I can apply them to everyday questions and tasks.

To get more hands-on and fully utilize ChatGPT’s generative capabilities, I decided to ask him to help choosing which clothing items I should purchase. For a task to be considered “generative,” the AI needs to create new content (e.g., images, music, code) rather than simply analyze existing information. So, I asked it to generate images of the outfits I had in mind so I could better visualize them.

I’ve been wanting to buy a new coat for a while, but I kept putting it off because it usually takes me a long time to decide on the fit and color I want, and then even longer to find a store that sells something similar. To make this process more efficient, I first shared a link to my Pinterest board so he could know my preferences. Then, I asked it to search for coats I might like, and it returned a list of potential options with images and store links. This part of the process was more of a general AI function, involving search and curation.

^^ One of the suggestions that he gave me

Based on the items I liked most, I then provided ChatGPT with a screenshot of a dress I already owned and asked it to generate images of full outfits that included different coats. Before generating, I also gave my height and clothing size so that the proportions would look more realistic. This allowed me to clearly imagine how each piece might look on me, without actually having to try them on.

^^ Output of the generated image.

I found this use of ChatGPT incredibly helpful because it saves me a lot of time. Normally, it would take me at least 18 minutes to narrow down my options to a few stores, and then even more time to visit the shops and try things on. With generative AI, I was able to visualize my outfit options quickly and efficiently.

One way I could improve this process even further would be to provide ChatGPT with a full-body photo of myself. That way, the generated outfits could be customized to my actual body shape and features. In the future, it would be great if more clothing websites started integrating GenAI tools that allow customers to virtually try on clothes. This could completely change the online shopping experience, making it faster, more personal, and much more convenient.

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The Skinny Epidemic: The Rise of GLP-1 Drugs – Threat or Opportunity?

19

September

2025

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Over the past two years, the rise of GLP-1 drugs has become prominent, disrupting not only the healthcare but also the consumer markets worldwide. It was originally designed to treat patients with diabetes, however, these drugs (most commonly known under names like Ozempic or Monjaro) have been proven to significantly aid weight loss. 

Its boom in the market is quite obvious from the numbers; Goldman Sachs predicts the GLP-1 market to reach $100 – $150 billion by 2030 with over millions of users globally (CNBC, 2024). The market capitalization of Novo Nordisk, a key pharma company, jumped by billions after publishing the effectiveness of their anti-obesity drugs (Financial Times, 2023). At first, the GLP-1 was just seen as a revolution within the pharma industry. However, we can now see how it is creating rippling effects through various businesses and consumer facing industries; forcing firms to adapt their business models or risk getting left behind. 

Digital Health Business meets GLP-1

Numbers of digital health companies are now building programs around GLP-1 therapies. Start-ups are combining AI-driven insights with apps and gadgets that provide personalized care to consumers. With the increased users of GLP-1 drugs, there is a rising demand for preventative health care. The focus is now shifting away from weight management devices to digital therapeutics (PwC, 2024).  Medtech firms are responding with diagnostic tools that are integrated with AI and remote monitoring, making an innovative shift in preventative health care. 

Ripple Effects Beyond The Health Industry: 

The impact of GLP-1 drugs is extending far beyond the health care sectors. With the effect of these drugs, people are now less hungry, more healthy, and more energetic. These shifts in individual brings changes that industries should not ignore: 

  • Food & Beverage: The marketing of the snacks and the types of food being sold in the aisles of the grocery store are starting to shift. More protein rich and functional foods are on the rise. Firms such as Unilever and P&G are implementing AI tools to accurately predict demand and to forecast consumer preferences, which is essential in this shifting dynamics.
  • Fitness and Wellness: Gyms and digital fitness platforms are seeing increased engagement from people who are now capable of staying active. 
  • Travel & Leisure: Vacations are shifting away from food-centric experiences toward activity-driven tourism.
  • Retail & Apparel: Clothing brands are forecasted to face changing demands as body images shift. There is an increased demand for fitness wear as more people are motivated to maintain active lifestyle. 

Strategic Takeaways

Regarding the firms outside of the pharma industry, this boom of GLP-1 drugs poses them either an opportunity to adapt or a risk of irrelevance. The food industry must diversify their product portfolios, and apparel brands must rethink the trends and the sizing. Fitness platforms should integrate GLP-1 coaching systems that personalize across each consumer.

In order to ride this wave, firms should experiment with digital integration, AI powered analytics, and personalized services that can capitalize on this disruption into opportunity. 

References:

CNBC. (2024, May 25). Digital health companies are launching programs around GLP-1s. CNBC. https://www.cnbc.com/2024/05/25/digital-health-companies-are-launching-programs-around-glp-1s-.html

Financial Times. (2023, August 10). Novo Nordisk shares jump after new anti-obesity pill shows strong results. Financial Times. https://www.ft.com/

LightIT. (2024, June 12). Beyond the hype: Where and how digital health founders should build in the GLP-1 market. LightIT Blog. https://lightit.io/blog/beyond-the-hype-where-and-how-digital-health-founders-should-build-in-the-glp-1-market/

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