Normalized claim
Development time reduction: 50% decrease
reduced development time by 50 percent
BigGo Speeds Up Generative AI Product Launch by 50% using Amazon Bedrock
Use case typeAI platformUpdated Jun 13, 2026
BigGo, a Taiwan-based provider of search engine and price comparison technology, aimed to enhance its offerings by developing two generative AI–based products to automate product descriptions and generate news stories for ecommerce and retail businesses. By utilizing Amazon Web Services (AWS), BigGo reduced development time by 50 percent and cut costs compared to building infrastructure from scratch. The BigGo News service doubled its news article production, publishing up to 200 articles daily with multi-language support, while the BigGo Description Generator reduced the time required to create product descriptions by 80 percent, improving operational efficiency for its customers.
Reported outcomes
News article production: Up to 200 articles per day
Other quantified impact
Monthly active users: 35 million
Why do we believe this?Outcome claims, sources, and evidence checks
Normalized claim
Development cost reduction: 50% decrease
cut costs compared to building infrastructure from scratch
Normalized claim
News article production: 200 articles per day increase
publishing up to 200 articles daily
Normalized claim
News article production increase: 100% increase
doubled its news article production
Normalized claim
Product listing creation time reduction: 80% decrease
reduced the time required to create product descriptions by 80 percent
Normalized claim
User engagement increase: 50% increase
saw a 50 percent increase in user engagement
Normalized claim
Monthly active users: 35 million increase
record 35 million monthly active users
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- BigGo
- Provider
- AWS
- Maturity
- Production
- Linked source
- AWS Solutions Case Study
The BigGo News service doubled its news article production, publishing up to 200 articles daily with multi-language support, while the BigGo Description Generator reduced the time required to create product descriptions by 80 percent, improving operational efficiency for its customers
Customer identity supportedSource describes one deploymentMaturity supported
Primary read
Use case focus
Showing 3 of 3
- 1Generative AI content automation
- 2Content generation
- 3Search and product discovery
- Implemented generative AI services on AWS using Amazon Bedrock and managed services.
- Built the BigGo Description Generator and BigGo News service on Bedrock for product descriptions and news stories.
- Used Amazon Bedrock with Anthropic Claude 3.5 Sonnet to run large-scale experiments and support multi-language content generation.
Technologies
- Reduced development time by 50%.
- Achieved 50% increase in user engagement and 35 million monthly active users for the news service.
- Reduced product listing creation time by 80%.
Sources & evidence1
Evidence: Medium65/100Evidence strength
- Customer explicitly identified
- Deployment status explicitly supported
- Primary source available
- Quantified outcome available
- Technical implementation details available
Type: Customer StoryPublished: May 27, 2026Publisher: AWSEvidence: PrimaryConfidence: High
AI-generated summary. Verify important details with the linked sources before relying on this case.
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