Build Real-Time GenAI Product Recs that Boost Cart Size
Shoppers expect smart, personal recommendations — and GenAI makes it possible. Join us to learn how to combine user behavior and vector search to serve up real-time product recs that actually drive sales. We’ll break down the tech so you can start building better retail experiences, fast.
Retail is one of the most obvious industries for generative AI to make a big impact. Leveraging Gen AI with huge data sets in real-time opens up a wide range of highly nuanced and personalized customer interactions.
Combining user behavior data and vector embeddings is how developers serve up relevant, personalized suggestions in real-time. This livestream will reveal the building blocks of creating instant recommendations with GenAI, and show you how vector search enables this kind of precision and speed when building retail and e-commerce applications.
During this session, you’ll learn:
- Drive additional product sales and views with Gen AI-driven recommendations.
- How to generate vector embeddings for your product data set.
- Work vector search into your e-commerce channel.
Can’t join us live? Go ahead and register — we’ll share the replay with you afterward.
Speakers
Aaron Ploetz
Developer Relations Engineer
DataStax