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
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.
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.
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.
PERSONALIZATION AI
Learn from customers’ “taste and buying patterns”
Tailor your search capabilities by examining each searcher’s history on your retail site. Our AI learns from past searches, browses, clicks, cart additions, and purchases to build a “taste and buying pattern,” identifying favorite brands, colors, and product types. It understands predictive tastes across related categories like women’s shoes and handbags while distinguishing unrelated ones like lumber and faucets. Additionally, it recognizes time-based buying patterns, adapting to queries like “dog supplies” based on recent purchase history. The generated “searcher personalization profile” becomes a key input for Ranking AI.
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.
GREATER CONTROL
Augment search results with merchandising tools
Augment your search results to meet unique business needs with a pre-integrated Merchandising Experience Platform (MXP). Maximize business benefits using targeted campaigns, offer discounts, and execute user promotions with ease. Manage synonyms, acronyms, and meanings to fine-tune search accuracy. Boost brand visibility and drive partner campaigns. Explore a range of powerful features designed to give you unparalleled control over your search results.
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
Set up tracking pixels and capture events
Integrate with your commerce platform using a middleware/BFF layer
Set up merchandising rules and analytics
Read more
Accelerate your growth with proven digital transformation services
Digital transformation frameworks designed to modernize customer experiences