We utilize NLP techniques to analyze textual data from a myriad of sources, including social media posts, comments, fashion articles, retail data, customer reviews, and more. By understanding and labelling the language used to describe fashion trends across various channels, we extract valuable insights that inform our trend detection process.

Visual content plays a crucial role in the fashion industry. We employ image analysis techniques to analyze and interpret fashion-related images shared across social media platforms. This allows us to identify emerging trends based on visual cues and patterns.

Our platform goes beyond simple keyword matching by employing semantic analysis. This allows us to understand the context and consumer intention behind fashion-related content, enabling more accurate trend detection and interpretation.

At Trendee, we understand the pivotal role that influencers and brands play in shaping fashion trends on popular social media platforms like Instagram and TikTok. Leveraging advanced Social Network Analysis (SNA) techniques, we meticulously identify and analyze trendsetter influencers and brands, providing invaluable insights into the ever-evolving fashion landscape.

Trendee's knowledge graph is a powerful tool that connects and contextualizes fashion-related data from various sources. By mapping relationships between entities such as designers, brands, influencers, and trends, we create a comprehensive understanding of the fashion landscape.

Our platform continuously collects and label data from a wide range of sources, including social media platforms, fashion websites, retail websites, and more. This vast pool of data serves as the foundation for our trend analysis.

Through SNA, we pinpoint trendsetter profiles – influencers and brands that consistently lead the way in setting fashion trends. These trendsetters exhibit high levels of engagement, follower growth, and content virality, making them instrumental in shaping consumer preferences.

We leverage machine learning algorithms to process and analyze large volumes of data efficiently. These algorithms learn from past trends and patterns to make predictions about future fashion trends with a high degree of accuracy.

Trendee's predictive modeling capabilities allow us to forecast future fashion trends based on historical data and current market dynamics. By identifying early indicators and signals, we provide our users with insights into trends before they become mainstream.

Our platform features intuitive AI design tools that allow users to explore and interact with fashion trend data in a visually engaging manner. From trend attribute analysis to AI design, these tools provide valuable insights into the fashion landscape.