What challenges did Central Retail Group face before AI implementation?

Reduce the time needed for product order completion for personal shoppers. Accelerate creation of consistent and SEO-optimized product descriptions in English and Thai under strict content guidelines. Improve search capabilities and product discovery through visual AI integration.

Source

GCPProductionEvidence: Medium65/100

Central Retail Group enhances customer shopping with Gemini-powered AI and Vertex AI at scale

Use case typeProduct discoveryUpdated Jun 13, 2026

Central Retail Group in Thailand aimed to reduce product order completion time, accelerate product description creation, and improve product search with visual AI. The company developed Gemini-powered multilingual AI chatbots for recipe and order assistance, automated product description generation using Vertex AI large language models, and integrated visual search for better product discovery. The solution streamlined workflows for personal shoppers and enhanced customer shopping experiences through AI-driven visual search and linguistic understanding.

Organization: Central Retail Group
Industry: Retail
Location: Thailand

Reported outcomes

+10%

quantified impactRevenue & growth

1-2%time1-2 minutestime

Strategic outcomes

Customer experience & trustImproved product discovery and assistanceSpeed & agilityAccelerated AI deploymentNew product / capabilityDeployed multilingual shopping chatbotsNew product / capabilityEnabled visual product search

Catalog median for revenue & growth deployments: +40% across 68 reported metrics. Compare benchmarks →

Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Time: 1-2% decrease

Google Cloud Customer StoriesCustomer storyInferred claimMedium evidence strength

Reduced order completion time by 94%, dropping search time from 32 minutes to 1-2 minutes in key product categories.

Normalized claim

Time: 1-2 minutes decrease

Google Cloud Customer StoriesCustomer storyInferred claimMedium evidence strength

Reduced order completion time by 94%, dropping search time from 32 minutes to 1-2 minutes in key product categories.

Normalized claim

Quantified impact: 10% increase

Google Cloud Customer StoriesCustomer storyInferred claimMedium evidence strength

Increased conversion rate by 10% through improved product discovery and customer assistance.

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: Central Retail Group
Provider: GCP
Maturity: Production
Linked source: Google Cloud Customer Stories

Deployed multilingual AI chatbots powered by Google Cloud Gemini to assist in recipe creation and order shopping

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 3

1AI chatbot for customer assistance
2Automated product description generation
3Visual search for retail product discovery

Reduce the time needed for product order completion for personal shoppers.
Accelerate creation of consistent and SEO-optimized product descriptions in English and Thai under strict content guidelines.
Improve search capabilities and product discovery through visual AI integration.

Deployed multilingual AI chatbots powered by Google Cloud Gemini to assist in recipe creation and order shopping.
Implemented Vertex AI large language models to automate and improve product description creation, extracting relevant attributes to enhance SEO.
Integrated Vertex AI Search with visual search capabilities to enable shoppers and customers to find products quickly and more accurately.

Technologies

Gemini Vertex AI Vertex AI Search

Reduced order completion time by 94%, dropping search time from 32 minutes to 1-2 minutes in key product categories.
Increased conversion rate by 10% through improved product discovery and customer assistance.
Accelerated AI deployment from six to two months, enhancing time-to-market for AI capabilities.

Sources & evidence1

Evidence: Medium65/100Evidence strength