Solving retail’s cold-start problem: Malachyte's recommendation reinvention

https://storage.googleapis.com/gweb-cloudblog-publish/images/malachyte-ai-foundation-models-retail-reco.max-2500x2500.png

What’s the best way to recommend products to little-known users?

We’ve spent our careers trying to solve this problem for major companies like Spotify and Priceline, and it’s why Sidd founded Malachyte, an AI-powered ecommerce recommendation platform. These days, consumers have come to expect content that feels personalized and relevant, and online services competing for their attention have no choice but to do this exceptionally well.

Malachyte was inspired by some unique insights into how advanced AI models, and large language models in particular, could be applied in new ways to old challenges like personalization and recommendations.

As Malachyte set out to win potential customers’ business, we needed secure, scalable, reliable and, above all, leading-edge AI infrastructure to continue building the personalization algorithm we had always envisioned. By utilizing Google Cloud tools like Bigtable and Managed Service for Apache Kafka, Malachyte has been able to help some of...

Copyright of this story solely belongs to google.com. To see the full text click HERE

Read more