Grid Dynamics Ebook
Optimizing AI-driven product discovery:
The role of catalog enrichment and customer behavior in retail search
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We’ve entered a new era of conversational product search, where customer interactions with search engines drive e-commerce outcomes. At Grid Dynamics, we’re leading this shift by actively developing solutions that leverage Vertex AI Search for Retail, helping retailers unify traditional search bars and chatbot interfaces into a powerful search experience that answers abstract queries and solves customers’ challenges. The journey from keywords to conversations is well underway, and those who adapt will lead the race.
Dr. Eugene Steinberg
Founding engineer and VP of Technology
We’ve entered a new era of conversational product search, where customer interactions with search engines drive e-commerce outcomes. At Grid Dynamics, we’re leading this shift by actively developing solutions that leverage Vertex AI Search for Retail, helping retailers unify traditional search bars and chatbot interfaces into a powerful search experience that answers abstract queries and solves customers’ challenges. The journey from keywords to conversations is well underway, and those who adapt will lead the race.
Dr. Eugene Steinberg
Founding engineer and VP of Technology
Explore the evolution from keyword search to natural language and now conversational search, a shift fueled by technological innovations like semantic vectors, large language models (LLM), and vector search engines, marking a major leap in e-commerce product discovery.
Learn how Google’s Vertex AI Search for Retail uses three AI-driven capabilities as its secret sauce—catalog enrichment, smart matching with Google Shopping data, and conversion-focused ranking—to guide customers to precisely what they need by asking the right questions and presenting the most relevant products.
The outcome? When a search engine effectively uses rich product data to match and rank products well, customers find what they need faster, leading to higher conversion rates, increased average order value, and stronger customer loyalty.
The conversational search secret sauce
The richer the product data, the better the search
Generate rich catalogs using multimodal foundation models to analyze and harmonize product data from user manuals, descriptions, customer reviews, user-generated content, and images, ensuring accuracy and adherence to company photo standards—eliminating the need for marketplace sellers to manage tedious cataloging tasks.
Match products to customer intent
Show the right products in response to a user’s query by leveraging extensive customer behavior data from Google Shopping to match products in the catalog with the customer’s shopping intent.
Rank products by conversion likelihood
Rank all matching products using Google’s ranking algorithm, which predicts conversion propensity by analyzing product information and on-site customer behavior, ensuring that the matched products are optimized to meet the customer’s intent.
5 key takeaways
1. Enable dynamic product comparison
Enable dynamic product comparison through a side-by-side comparison table with key product features, making it easier for customers to make informed decisions.
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2. Integrate conversational search and recommendations
Integrate conversational AI search with a recommendation engine to suggest similar products when the requested ones aren’t available.
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3. Ingest enterprise data for real-time retrieval
Ingest enterprise data directly into the search system, retrieving relevant chunks in real time to guide large language models in accurately answering queries for niche products.
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4. Ensure meaningful interactions with customer data
Ensure meaningful interactions by using customer engagement data and historical site filters to ask relevant questions for specific queries, avoiding endless chat loops that derail the shopping journey.
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5. Augment search results with AI and merchandising
Augment search results by balancing AI with traditional merchandising, and maintain appropriate behavior and accuracy with guardrails and grounding.
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