Graphbeen
is a powerful product recommendations engine that uses machine-learning to select the most relevant, data-driven personalized product recommendations for each customer interaction.
Homa uses machine learning to understand and predict human behavior in a helpful way. recommendation engine is used in real-time to deliver highly relevant suggestion to micro-segments of consumers.


User behavior analytics
Gleaning and analyzing user behavior patterns from “high-information users” (highly engaged users), such as the number of times the user clicks the picture of a particular make of a vehicle, the amount of time the user spends on the product information page, etc.
Web Crawling
Graphbeen will can crawl websites while actively looking for a set of keywords that would trigger a specified action. This keywords can determine the category, specs, facts, tags or etc.

web crawling setup can do the job if it’s programmed to fetch content from a website that has a set of keywords which will be analyzed and matched in tree of knowledge
CAPABILITIES | BENEFITS |
---|---|
Machine Learning Based | Elimination of the guesswork of product recommendations |
Real-time Recommendations | Relevant recommendations since the consumer will still be in the market for the product or service |
Continuous Machine Learning | A smarter system that updates and improves recommendations increasingly over time |
Scalability to millions of products and consumers | Increased efficiency of marketing campaigns and cost savings |