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Reliable and Scalable Infrastructure
Jewel ML is engineered to meet the needs of even the most demanding clients, effortlessly handling over 100 million SKUs and accommodating more than 500 million monthly active users per site with robust support and seamless performance.
Edge servers covering the entire globe
Response time for 99% of world population
Uptime SLA available
Recommendations served annually
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FAQ
If you can't find the answer to your question in this section, please reach out to us.
We use natural language processing and machine learning to understand item details and user behavior. This combination allows us to create personalized product recommendations in real-time.
Our solution can increase your website's revenue by 5-15% in just 30 days. It's a no-code solution, requiring minimal initial setup and no ongoing effort from your team.
Our solution is fully no-code. Your team won't need to do any engineering work, from the initial setup to ongoing maintenance and customizations.
An A/B test, also known as a split test, is a method used to compare two versions of a webpage, app feature, or product recommendations to determine which one performs better. Essentially, we divide your audience into two groups: Group A sees the original version (the control), and Group B experiences the new version (the variation). By analyzing how each group interacts with the version they see, we can measure changes in behavior, such as increases in purchases, engagement, or any other key metric of interest. This approach allows us to make data-driven decisions and continuously improve the personalization and effectiveness of our recommendations on your site. Jewel ML facilitates this process seamlessly, providing you with clear insights into the impact of our AI-driven recommendations without requiring any separate A/B testing software.
We track customer interactions using anonymous IDs, allowing us to continuously refine our recommendations to ensure they are relevant and personalized.