Comparing Online Styling Options
Jess Erdman, April 2023
The re-emergence of conversational AI is the next frontier in every aspect of our lives. Even Google is considering upending its traditional search results for a ChatGPT-style conversation, showing that the future of search is conversational.
Although the fashion industry has experimented with chatbots before, the release of Open AI’s ChatGPT has led to a rush of retailers looking to supplement the eCommerce journey with technology like chatbots.
Retailers are also wondering whether ChatGPT can be a standalone solution to provide better eCommerce product recommendations.
However, both chatbots and “regular” ChatGPT have limitations in this area.
YesPlz’s AI Stylist (powered by ChatGPT for retail) is the world’s first AI stylist that uses combined AI technologies to find curated clothing for shoppers.
But, how does YesPlz’s ChatGPT AI Stylist stand against traditional chatbots for retail, regular ChatGPT, human stylists, and AI stylists? We’ll show you why it’s a step above the rest.
One solution that fashion eCommerce retailers have tried in the past is to use a real, human stylist that connects with shoppers via chat to find clothes. While this was an innovative solution in the past, there are better options in 2023 for retailers looking to make better product recommendations.
The limitations of online stylists include:
Overall, using a human stylist is a missed opportunity for retailers to gather valuable, transparent shopper data.
Shoppers may not feel comfortable sharing personal style detail preferences.
For example, YesPlz research shows that shoppers want to hide or flaunt their body parts–and it can be daunting to tell a human about these specific preferences.
Traditional chatbots are rule-based computer programs that use pre-programmed responses to communicate with users. They rely on specific keywords or phrases to trigger their responses.
Traditional chatbots for eCommerce have been around for years, and while they have provided some benefits, their limitations are becoming increasingly apparent.
Limitations of Traditional Chatbots for Retail Include:
Overall, traditional chatbots are becoming less effective as eCommerce evolves and customers demand more personalized, human-like experiences.
ChatGPT AI Stylist uses machine learning algorithms and data analysis to create personalized recommendations based on individual user preferences. Chatbots, on the other hand, tend to provide more general responses that aren’t tailored to specific users.
When chatbot knowledge is limited to a website, or rules-based, shoppers have limited engagements with technology.
However, with YesPlz’s AI Stylist, shoppers can ask anything, and receive responses to guide the journey. And, responses are generated as the conversation evolves, making the entire interaction more natural than chatbots.
Most recently, ChatGPT for retail has come front and center in the discussion around integrating technology into the shopping experience. ChatGPT is strong in its ability to generate immediate responses to questions, but as it stands today, isn’t immediately able to integrate with retailer websites.
Regular ChatGPT, despite all the hype around it, isn’t enough for retailers to make sophisticated product recommendations. Here’s why:
Regular ChatGPT requires more input from shoppers to get recommendations, making the discovery journey more burdensome.
Enter YesPlz AI Stylist (Powered by ChatGPT for Retail), which uses state-of-the-art machine learning technology to deliver personalized recommendations based on shoppers’ individual style preferences.
Recommendations are a step above others because they’re not only based on style or color, but also theme, vibe, and mood. Shoppers are given a curated selection of products based on their prompt, including styling tips and style-with products.
And, recommendations are integrated with the retailer product catalog so shoppers can see the full depth of products.
Behind the scenes, powerful AI creates real-time personalization. YesPlz combined different kinds of AI including:
AI Image Tagging: Our advanced computer vision technology quickly scans product catalogs and assigns product attributes to each item, making it easy to successfully curate recommendations.
Generative AI: We utilize Open AI's technology to create responses to prompts
NLP: By leveraging NLP, we can better understand the meaning of prompts, even incomplete questions like "Summer dresses?", without requiring shoppers to adjust their language to fit the machine.
Fashion Transformer: Proprietary to YesPlz AI, we built a fashion transformer that translates OpenAI’s recommendations, as well as product catalogs. Then, it finds the best matching results. Thanks to the fashion transformer, we can process the matching process from recommendations for thousands of products in a second.
The end result: personalized style recommendations that mimic the experience of having a personal stylist at your fingertips.
Here are the biggest problems with typical retail chatbots–and the optimized solution, using the YesPlz AI Stylist (Powered by ChatGPT).
Example: Our AI understands that lavender is a purple color, and that rust is a brown color.
Are you curious to see how YesPlz AI Stylist can integrate with your product catalog?
Despite the importance of good quality product discovery for eCommerce, there are still challenges that keep retailers from creating superior discovery experiences. In this article, we share 3 tips on how to use fashion AI to boost product discovery for eCommerce.
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