The solution is ideal for A/B testing marketing campaigns, product feature testing, assortment and pricing experiments, evaluating customer engagement strategies, and measuring the impact of operational changes, and more. Built around evidence-based learning, it's designed to support any new changes and innovations, ensuring they are backed by real-world data.

There are a number of approaches to integrate data into the solution. Typically we read directly from a storage bucket either owned by our client, or owned by jahan.ai with the client having access to the bucket. We can also read from client data sources directly, with connectors to Fabric, Snowflake, databricks, bigquery, Oracle, SAP, MSFT dynamics among others. We can also access an SFTP server if required by the client. We have a comprehensive list of integration patterns to choose from and the exact pattern can be determined based on the customer’s specific requirements and needs.

Yes, you can run and manage multiple experiments at the same time across different segments, products, or channels. The solution is designed to handle multiple concurrent tests, ensuring each experiment is tracked independently and providing clear, actionable insights.

Setting up the solution is straightforward, with a user-friendly interface that guides you through the process. Our platform offers step-by-step instructions and templates, so you can design, launch, and monitor experiments without needing technical expertise. As part of the implementation, we also offer dedicated onboarding services, making sure you are confident about how to use it. Integration with your existing systems also ensures a hassle-free setup.