Business Requirements
The client's primary business requirement was to improve the shopping experience of their customers by offering personalized styling and outfit recommendations. They wanted to leverage AI technology such as ChatGPT to understand customer preferences and recommend outfits that match their style and body type.
- Use current fashion trends, customer feedback, and purchase history to provide outfit recommendations.
- Integrate with e-commerce platform to enable customers to purchase recommended outfits with ease.
- Handle large amounts of data, process customer queries quickly, and provide accurate and relevant responses.
- Scalable and flexible setup to enable future enhancements and updates to meet changing customer needs.
QBurst Solution
Data Collection: We collected customer data such as purchase history, browsing history, and demographic information to understand their preferences and style choices.
Natural Language Processing (NLP): We used NLP techniques to process customer data and extract insights into their preferences and style choices.
ChatGPT Model: We trained a ChatGPT model on customer data to generate personalized styling and outfit recommendations. The model uses a combination of customer data, fashion trends, and outfit coordination principles to generate recommendations.
API Integration: We integrated the ChatGPT model with the client's existing systems through an API, enabling customers to receive personalized recommendations through the client's website and mobile app.