~50%
Uplift in Conversion Rate
↑12%
Increase in Click Through Rate
~30%
Uplift in Revenue Per Visitor
↑15x
Return on Investment
One conversation is all it takes to know what the customer wants
With millions of customers globally exposed to generative AI assistants, e-commerce search expectations have fundamentally changed. It’s time to say goodbye to traditional lexical product search, which often leads to inaccurate results, customer frustration, lost sales, and a subpar shopping experience. Grid Dynamics and Google Cloud have teamed up to offer an advanced natural language product search that combines Google’s Vertex AI Search for Retail with Grid Dynamics’ 14 years of search expertise and proprietary Digital User Experience (DXP) & Merchandising Accelerator to deliver natural language fluency, personalization, contextual awareness, and multimodal interactions.
At the core lies an advanced relevance system based on Google Shopping data, which understands what text and image-based queries mean, identifies relevant products, and matches them accurately with AI-enriched catalogs filled with detailed, attractive product information. Products are ranked by their likelihood of being clicked, added to the cart, and purchased, considering the customer’s “taste and buying pattern”. The best part? This self-optimizing, self-testing search engine requires minimal site merchandising support. You can still control and augment search results to meet specific business needs using our Merchandising Accelerator to run campaigns, manage promotions, and more.
Embrace this powerful natural language product search and delight customers with Google-quality results for even the most abstract queries, like “What do I need to get in shape?”, resulting in noticeable uplifts in conversion rates and revenue per visitor. After all, one conversation is all it takes to know what the customer wants.
Vertex AI Search for Retail features
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.
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.
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 too
Augment your search results to meet unique business needs. 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.
CONNECTORS AND ACCELERATORS
Fast-track your retail integration
Unlock seamless integration with leading retail platforms such as Hybris, commercetools, Shopify, Kibo, Adobe Experience Cloud, and ATG. Fast-track your setup with vertical-specific accelerators for apparel, luxury, cosmetics, beauty, auto parts, groceries, medicine, travel, and hospitality. Enhance data quality and expedite ingestion with our cutting-edge solutions.
Industries
Retail
Transform e-commerce product discovery with the Vertex AI Search for Retail Starter Kit. Combining Google’s advanced AI search and Grid Dynamics’ deep retail expertise, it delivers highly personalized, natural language search experiences. Enriched product catalogs, contextual query understanding, and self-optimizing relevance and ranking models will significantly boost conversion rates, click-through rates, and revenue per visitor.
Manufacturing
Enhance parts and supplier search for manufacturing procurement teams with the kit’s powerful AI capabilities. Deep attribution enriches part catalogs with detailed specs and compatibility data. Language AI accurately interprets complex technical queries. Relevance and ranking models prioritize results based on key factors like lead times and quality ratings. Expect more efficient procurement processes and optimized supplier selection.
Wealth management
Elevate search within wealth management platforms using the kit’s robust personalization and ranking capabilities. Personalization AI learns each investor’s risk tolerance, goals, and portfolio to curate highly relevant financial products, research, and insights. Ranking models prioritize results based on expense ratios, performance, and investor profile alignment. Empower investors and advisors with intelligent, individualized search experiences that drive better investment decisions.
Pharma
Revolutionize search across pharmaceutical drug information databases, clinical trial registries, and scientific literature repositories. The kit’s language AI precisely interprets complex medical queries. Relevance models incorporate critical data like drug indications, contraindications, and efficacy. Personalization tailors results to each healthcare professional’s specialty or researcher’s focus areas. Discover the right medical information faster than ever.
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
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