What challenges did Plateer face before AI implementation?

Improve product search relevance and personalization in ecommerce. Deliver generative AI-based search experience and analyze customer purchasing behavior effectively.

What was the impact of the AI solution?

Improved product search relevance and accuracy leading to better customer shopping experience. Faster, cost-reduced AI performance compared to other large language models. Enhanced consumer engagement via personalized, generative AI-driven product discovery. Enabled rapid AI marketing service deployment within two months.

Source

GCPExpanded

Plateer Enhances Ecommerce Search and Personalization with Google Cloud Vertex AI and Gemini

Use case typeProduct discoveryUpdated Jun 13, 2026

Plateer, a Korea-based ecommerce and AI marketing platform, aimed to improve product search relevance, personalization, and generative AI-based customer experience. Plateer built Groobee, an AI marketing solution leveraging Google Cloud AI technology including Vertex AI, Gemini 1.5 Flash, BigQuery, Vertex AI Search, Cloud Run, and Cloud Storage. Groobee analyzes purchasing patterns, integrates image-text understanding with Imagen model, and provides real-time inference with BigQuery and Vertex AI analytics. Implementation enabled generative AI search with Gemini, improved search accuracy, personalized shopping experience, and faster, cost-effective AI model responses. The solution resulted in better product discovery, enhanced personalization, rapid AI service deployment in two months, and smooth data analytics integration on Google Cloud.

Organization: Plateer
Industry: Retail
Location: South Korea
Published: May 2023

Reported outcomes

Strategic outcomes

New product / capabilityBuilt a generative AI search platformCustomer experience & trustImproved product discovery and personalizationSpeed & agilityEnabled rapid AI service deploymentBetter decisions & insightAnalyzed purchasing behavior with analytics

Primary read

Use case focus

Showing 3 of 3

1Generative AI Search
2Ecommerce Personalization
3Customer Insights

Improve product search relevance and personalization in ecommerce.
Deliver generative AI-based search experience and analyze customer purchasing behavior effectively.

Developed Groobee AI marketing platform using Google Cloud Vertex AI, Gemini 1.5 Flash for generative AI search, Imagen model for image-text analysis, and BigQuery analytics.
Implemented AI-based product recommendation and search by integrating real-time data analytics and AI inference.
Leveraged Google Cloud ecosystem for faster response, cost efficiency, and rapid service implementation with partner support.

Technologies

Vertex AI Gemini 1.5 Flash BigQuery Vertex AI Search Cloud Run Cloud Storage

Improved product search relevance and accuracy leading to better customer shopping experience.
Faster, cost-reduced AI performance compared to other large language models.
Enhanced consumer engagement via personalized, generative AI-driven product discovery.
Enabled rapid AI marketing service deployment within two months.

Architecture

Architecture includes Google Cloud Vertex AI for AI model training and inference, Gemini for generative AI search, image analysis using Imagen, BigQuery for real-time data analytics, Cloud Run and Cloud Storage for scalable backend services.

Implementation partners1

Bespin Global

Sources & evidence1

ExpandedExpanded

The same organization appears in newer AI deployment evidence.