Finding the right equipment online should be easy – but often it is not. That is why Milrab has implemented Google Vertex AI Search for Commerce.
The result? A much smarter search experience that demonstrably leads to higher earnings.
What does it mean in practice?
Traditional searches often get stuck in old patterns. Perhaps you have tried to search for something like:
“green shell jacket for men”
“ski goggles for flat light”
“climbing shoes for wide feet”
“black bag that fits a laptop and workouts”
Before: Such searches could yield few or irrelevant results – because the search engine looked for exact words instead of understanding what you really were after.
Now: With Vertex AI, the search interprets both your intention and the product context. The search engine uses, among other things, image recognition to match the products with Google’s Knowledge Graph (there aren’t many who know more about your products than Google!). This way, the search engine understands more about the products, what they are made of, what they are used for, and how they look. While other search engines need structured attributes and a lot of data to train the machine learning model, Vertex has a deep understanding from the start.
Measurable results:
✅ ~9% increase in revenue per visitor (RPV)
✅ Over 10x earnings relative to costs for Vertex (ROI)
✅ Customers find what they are looking for faster
✅ Fewer “no results” experiences, more satisfied customers
Agile and efficient integration
Thanks to a flexible Shopify Plus setup, the integration was done quickly and painlessly, without heavy and lengthy development processes.
First in its category in Norway
Milrab is now first in its vertical in Norway to adopt Google Vertex AI Search for Commerce – and we are proud to have been part of this. This is not just about search – it’s about enhancing the entire customer experience.
International attention
The implementation of Vertex AI Search for Commerce gained attention when the one and only Yeye Zhang, Product Manager for Cloud AI at Google, presented Milrab's implementation of Vertex at the National Retail Forum in New York, January 2025.
Is Vertex right for your online store?
It depends! Vertex actually has four levels of optimization:
Relevance
Relevance and product popularity
Optimized for revenue
Personalized, optimized for revenue
Level 4 provides maximum return on investment. But to get there, Vertex needs to train the model on behavioral data from your online store. Therefore, your online store should be of a certain size to maximize ROI.
Want to know more? Send an email, and we’ll take it from there!
