Shopbrain SDK v2.0 Release2 min read
We are proud to announce the very first release of our SDK v2 has finally hit the production floor in the new year.
What is Shopbrain SDK?
Shopbrain SDK is a framework of libraries we publish to help partners build rich, smart, and engaging shopping assistant features for any environment, including website, mobile app, and browser extension. This SDK is designed to simplify the integration work required for leveraging Shopbrain’s intelligent platform. It removes many tedious yet necessary plumbing steps; it even ships with standard UI and configurable skins for many common use cases.
What is in this release?
This is the first release of Shopbrain SDK v2 architecture; therefore, it is packed with great features and enhancement. Here are some highlights of this release:
- Formal Shopify Support: Shopbrain SDK now formally supports all stores powered by the Shopify platform with auto product recognition, crawling, basket analysis, and checkout enhancement.
- API Endpoint Upgrade: SDK v2 is fully upgraded to take advantage of recently released serverless Shopbrain endpoints for better performance.
- Performance Enhancement: a large portion of product recognition and search logic has been completely redesigned and re-engineered to offer a near 100% performance improvement.
- Better Analytics: you can’t understand or manage what you can’t measure; that’s why we have revamped the SDK analytics library to better report and capture all analytical events.
If you are interested in seeing how Shopbrain improves your retention, engagement, and revenue, schedule a commitment-free demo from our sales team.
After our latest release of comprehensive support for the Shopify platform, we are now working on our full support for Wix, BigCommerce, and WooCommerce platforms planned for in the next few releases. Additionally, we are always working on improving our brain, a.k.a. our machine learning model. The next-gen ML model will be our first model built from scratch on TensorFlow 2 and natively serverless. This model performs very well in our lab, and we are extremely excited to see this model in action soon.