AI-Driven
Web traffic classification
Goal
Compress high-volume web traffic data into valuable insights that can be derived for targeted marketing, enhanced customer experience, and efficient resource allocation.
From Art to Science
Introduction of our cutting-edge, asynchronous web scraper that can efficiently process millions of URLs in several minutes.
Created over 100 business-relevant categories and label input data
As an essential ingredient, we applied our knowledge of natural language processing (NLP) and Large Language Models (LLMs)
Trained a multi-classification model with decent performance
Results
Classified over 1.5 million customers each day
Used in a couple of marketing campaigns and models
On top of that, we extracted multinational phone numbers that are utilized in classification as well
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