How Vertex AI Search for commerce works

This page introduces you to the many features that drive Vertex AI Search for commerce.

The Vertex AI Search for commerce engine

Vertex AI Search for commerce uses state-of-the-art AI and machine learning models to deliver its search capabilities. Google technology enables advanced query understanding and personalization, improving search results from the broadest queries.

The service uses user interaction and ranking models to meet specific business goals and optimize product ranking for increased conversions and sales, effectively matching product attributes with website content for relevant product discovery.

Guided search serves users an interactive search experience to refine and narrow broad search queries through dynamic filtering and product image tiles. The service also offers semantic and back-and-forth conversation to facilitate an interactive ecommerce experience in real-time.

The fully managed Vertex AI Search for commerce service lets you:

Vertex AI Search for commerce handles data processing to:

End-to-end search

The autocomplete search service provides comprehensive search and a personalized shopping experience.

Additional resources are available to help you integrate Vertex AI Search for commerce into your complete search flow:

Build your search interface

Refer to this documentation on each relevant page for instructions on how to integrate Vertex AI Search for commerce into your product search capabilities using any of these options:

  • The Search for commerce console
  • The Merchandising console
  • The Retail API

See the Reference guide for client libraries and REST and RPC resources.

Use Vertex AI Search for commerce for data insights and analytics

Vertex AI Search for commerce leverages user interaction and understands nuances behind customer behavior, context, and SKUs to optimize search results and deliver relevant recommendations, leading to possible improvements in click-through rate, search conversion and a drop in the No Results Found (NRF) rate. Vertex AI Search for commerce utilizes data for internal optimization and benefits customers by improving metrics.

Do more with your ecommerce data

After you upload product and user event data using Vertex AI Search for commerce, you can export that data into BigQuery to perform analytics, access Key Performance Indicator (KPI) dashboards, and generate sales forecasts. The first step is exporting your data into BigQuery. Once you have the data in BigQuery tables, you can input them into workflows that result in prebuilt Looker dashboards or sales forecasts using Vertex AI.

For more information, see the following topics: