The Power of Emotionally Intelligent Shopping

The Power of Emotionally Intelligent Shopping

Table of Contents

1. Introduction
2. The Importance of Understanding Emotions in Fashion
3. The Challenge of Personalization
4. The Evolution of Customer Preferences and Inventory
5. The Deep-Rooted Insecurities of Women
6. The Solution: Lilly AI's Mental Model Mimicking Technology
7. Understanding the Woman's Mental Model
8. The Power of Deep Learning Engines
9. Matching Emotions and Insecurities to Products
10. A Look at the Results: Increased Conversion Rate, Likes, and Reduced Returns
11. The Future of Fashion: Emotionally Intelligent Experiences
12. Conclusion

Introduction

Hey everyone, my name is Pulva and I'm the CEO and co-founder of Lilly AI. As a company, we have built a product that aims to understand a woman's emotions and perceptions about her body. Our goal is to help brands and retailers personalize the shopping experience, Based on this understanding. In this article, we will explore the importance of emotions in the fashion industry and how Lilly AI's technology is revolutionizing the way we approach personalization.

The Importance of Understanding Emotions in Fashion

AI, or artificial intelligence, is often associated with machines behaving like humans. However, most AI applications lack empathy and understanding of emotions. This is a significant challenge in the fashion industry, where emotions play a crucial role in consumer behavior. Interestingly, it's often the details that Create emotions in fashion. The way a piece of clothing is designed can make a person feel a certain way. For example, even though three women may be wearing the same black top, their perceptions of how it looks on them can be entirely different. Mimicking someone's mental model and understanding their unique perception is the key to true personalization in fashion.

The Challenge of Personalization

Personalization in fashion has been predominantly done based on segments. It involves recommending products to customers based on their browsing history and preferences. However, it often misses the mark on understanding the "why" behind a person's preferences. Each individual has their own unique set of reasons for liking or disliking certain styles or clothing attributes. This is where the challenge lies – understanding and catering to the individual's specific preferences and insecurities.

The Evolution of Customer Preferences and Inventory

Another reason why achieving true personalization in fashion has been challenging is the continuous evolution of customer preferences and inventory. Customers' preferences, perceptions, and expectations change over time, making it difficult to keep up with their evolving needs. Additionally, the fashion industry experiences daily changes in inventory with millions of SKUs. It becomes a monumental task to constantly understand and match these evolving details.

The Deep-Rooted Insecurities of Women

For women, the Perception of their bodies is often deeply rooted in insecurity. This insecurity can start as early as the age of two when girls begin disliking parts of their bodies. These negative perceptions persist throughout their lives, resulting in women in this country having 13 negative thoughts about their appearance every day. Interestingly, women of different sizes, from size 0-0 to size 26, may dislike their thighs for similar reasons – their own respective perception of how they think about their bodies.

The Solution: Lilly AI's Mental Model Mimicking Technology

At Lilly AI, we have developed the industry's deepest feature extraction engine. Our deep learning engines are trained to understand over 15,000 attributes for clothing, including more than 1,100 attributes for each item of clothing. This deep level of attribution allows us to match emotions and insecurities of individuals to specific products. By understanding a woman's mental model, we can truly personalize her shopping experience based on her unique preferences and insecurities.

Understanding the Woman's Mental Model

Let's take an example of a woman named Nicole. Nicole has a perception that her belly is bigger than it actually is, which leads to insecurity. However, she doesn't want to simply hide her belly with loose clothing because she has a chic style. Understanding Nicole's mental model requires considering various aspects that are difficult to describe and capture. Lilly AI's technology is able to make Sense of these details and preferences, enabling us to offer personalized recommendations tailored to Nicole's style and body perception.

The Power of Deep Learning Engines

The success of our AI technology relies on the quality of the training data. We have painstakingly collected and labeled a vast amount of data with minute details. With over 330 million data points, our deep learning engines have achieved phenomenal results. We have seen a 20x increase in conversion rates, more than 400% increase in likes, and an impressive 80% reduction in returns. This showcases the power of emotionally intelligent experiences in driving positive outcomes for both customers and brands.

Matching Emotions and Insecurities to Products

By analyzing clickstream data and understanding customer actions, Lilly AI can create perception profiles for individual customers. This profiling allows us to predict preferences and insecurities, leading to personalized product recommendations. For example, by analyzing Nicole's browsing activity, we can predict that she may have a small belly rather than a round one. This understanding guides us in recommending products that will flatter her body Shape and Align with her unique style.

A Look at the Results: Increased Conversion Rate, Likes, and Reduced Returns

The adoption of Lilly AI's technology has shown remarkable results for brands and retailers. The increased conversion rate by 20 times demonstrates the power of providing personalized experiences based on emotions and insecurities. The substantial increase in likes and the significant reduction in returns also underline the effectiveness of matching the right products to individual customers. These results highlight the immense potential of emotionally intelligent experiences in the future of fashion.

The Future of Fashion: Emotionally Intelligent Experiences

The future of fashion lies in emotionally intelligent experiences. By understanding and addressing the emotions and insecurities of customers, brands and retailers can forge deeper connections and foster loyalty. Personalization that goes beyond surface-level recommendations and embraces the individual's unique mental model is the key to unlocking this potential. Lilly AI is at the forefront of this revolution, with our technology paving the way for a more empathetic and personalized fashion industry.

Conclusion

In conclusion, Lilly AI's innovative technology is enabling brands and retailers to truly personalize the shopping experience. By mimicking a woman's mental model and understanding her emotions and insecurities, we can offer tailored recommendations that resonate on a deeper level. The results speak for themselves, with increased conversion rates, more likes, and reduced returns. As we look towards the future, emotionally intelligent experiences will undoubtedly shape the fashion industry and create richer connections between brands and customers.