This project is about analyzing logos to identify patterns in customer usage and trends. It helps businesses find out which customers are using logos that look similar and understand these customers better by looking at their order and product information.
Imagine a large database of logos used by various customers. This project scans through all these logos and groups together the ones that look alike. For example, if multiple companies use similar colors, shapes, or symbols in their logos, these logos will be grouped into clusters.
After grouping similar logos, the project identifies the group (or cluster) with the largest number of logos. This cluster likely represents the most popular or widely used design, meaning many customers are using similar styles or themes in their branding.
Once the biggest logo cluster is identified, the project digs deeper to find out more about the customers in this group. It collects data like the names of these customers, how many times they’ve ordered, and the number of different products they’ve purchased. This information provides insights into customer behavior and the popularity of certain design trends.
All this information is organized neatly. The logos are sorted into folders based on similarity, so you can easily see which ones look alike. Unusual logos that don’t match any others are kept separately, as well as any damaged files that couldn’t be processed.
Overall, this project is like a visual audit of logo usage, giving insights into customer branding choices and trends in a way that is organized and easy to analyze.