Home Solutions Vertex AI Search for Commerce Starter Kit

7%+

Uplift in Conversion Rate

↑12%

Increase in Click Through Rate

~6%

Uplift in Revenue Per Visitor

↑15x

Return on Investment

One conversation is all it takes to know what the customer wants

Shoppers now expect AI-level search, not clunky keyword matching. Grid Dynamics and Google Cloud deliver Vertex AI Search for Commerce, a solution that fuses Google’s world-class natural language understanding with Grid Dynamics’ 14 years of specialized search engineering and production-proven integration expertise.

At its core is a relevance engine powered by Google Shopping data that understands intent (in text or images) and matches it with AI-enriched product catalogs. It ranks products by real buying behaviors, not just keywords, boosting clicks, carts, and conversions.

The best part? It keeps learning. Minimal tuning, smarter merchandising, and easy control through the Merchandising Experience Platform (MXP) for campaigns and promotions. Give customers Google-quality answers to even open-ended queries like “what do I need to get in shape?”, and watch conversion and revenue rise naturally.

Vertex AI Search for Commerce features

Text search, browse, recommendations, and image search options.

EXPERIENCE LAYER

Solve product discovery challenges with a multi-modal approach

Power your digital commerce site or app with Google-quality search and browse capabilities, where the search engine and customers interact to find the products they’re most likely to buy. Move beyond single search phrases—let entire conversations drive the search experience using large language models and natural language processing. Deliver highly personalized product recommendations at scale, tailored to each shopper’s behaviors and preferences. Allow customers to search for products with an image and receive a ranked list of visually and semantically similar items.

DEEP ATTRIBUTION

Enrich product catalogs using diverse data sources

Enrich your catalog with advanced AI capabilities that analyze images to improve product descriptions, review web crawler data, pull anchor text from blogs, examine onsite queries that drive sales, and consider relevant Google queries. Move beyond word counting and leverage AI to understand the context and meaning behind words for unparalleled product relevance. This allows you to fill in missing product information—like identifying the color “green” in a dress image with a missing color field or categorizing “wine” under chardonnay. Answer detailed queries such as “Which dress was worn by Taylor Swift at the Golden Globes?” or “What wine pairs well with salmon?” through deeper attribution using user-generated content and customer reviews.

Product search for a green dress, showing AI interpretation, web crawler view, anchor text, and search queries.
Language AI processing a raw query using large language models to generate a processed query.

LANGUAGE AI

Convert free text queries to structured text

Convert queries from free text to structured text, ensuring key terms like “large” are contextually interpreted accurately (e.g., “large nail” as 4 inches, “large mattress” as queen or king). Apply language-based filtering for precise results—interpret “blue blouse” as “product = blouse, color = blue,” but avoid filtering “blue jeans” by color due to variations like “red blue jeans.” Move beyond word counting and leverage AI to understand the context and meaning behind words for unparalleled product relevance. This structured query serves as input data for Relevance AI.

RELEVANCE AI

Showcase the perfect products for every query

Elevate your search relevance with advanced AI models that go beyond traditional word counting. Multiple relevance AI models match structured queries generated by Language AI to the 400 highest relevance products in your enriched catalog. Using Google Shopping Data, our key model understands product and query relevance by analyzing customer behavior—identifying what “Short Sleeve Long Dress” means based on “click” and “no-click” data. This allows us to find items in your catalog that align with products customers prefer.

Relevance AI using multiple models and click data to identify the 400 most relevant 'Short Sleeve Long Dresses'
Personalization AI using user history to extract purchase patterns and preferences.

RANKING AI

Optimize product ranking to maximize revenue

Rank all relevant products based on “descending order of expected revenue” rather than mere word count relevance. Leverage the ranking model to analyze what types of products are selling for specific queries over time, trends in neighboring queries, current sales and promotions, and evaluate if the product fits the “searcher personalization profile.” Finally, calculate the likelihood of a product being clicked, added to the cart, and purchased when shown in the top position, yielding maximum revenue.

Ranking AI using purchase predictions and expected revenue to order products based on user preferences.

Simplify and accelerate implementation with our blueprint

We created our integration blueprint based on experience and lessons learned from our large-scale implementation projects for Fortune 500 enterprises. Our blueprint helps you:

Set up a data ingestion pipeline for bulk and incremental loads

route icon

Set up tracking pixels and capture events

puzzle

Integrate with your commerce platform using a middleware/BFF layer

document

Set up merchandising rules and analytics

Retailer data flow to Google Cloud, illustrating indexing data pipelines, tracking pixel events, discovery APIs, and the merchant portal.
Google Sell Service Premier Partner Logo

Every retail environment is unique, with specific product discovery requirements and customer experience needs. In order to get maximum ROI, faster speed to market, and optimal value out of your retail search solution, you need a trusted partner with deep retail search expertise, optimized integration methodologies, and Google Cloud-specific experience.

Grid Dynamics has unique experience working with the Google Vertex AI team from the earliest stages of the retail search solution’s development, with many successful enterprise integrations already under our belt.

Google Sell Service Premier Partner Logo

Every retail environment is unique, with specific product discovery requirements and customer experience needs. In order to get maximum ROI, faster speed to market, and optimal value out of your retail search solution, you need a trusted partner with deep retail search expertise, optimized integration methodologies, and Google Cloud-specific experience.

Grid Dynamics has unique experience working with the Google Vertex AI team from the earliest stages of the retail search solution’s development, with many successful enterprise integrations already under our belt.

Let’s discuss your project

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