ProductionEvidence: Medium65/100

Deye: Multilingual generative AI customer service on Amazon Connect powered by Amazon Bedrock

Ningbo Deye Technology Co., Ltd. built a multilingual AI customer service system on AWS to support users across more than 110 countries and regions. The article says the company also deployed an AI assistant for power-trading optimization and broader global cloud operations. With help from AWS partner Goclouds, Deye implemented an omnichannel customer contact center using ConnectNow and Amazon Bedrock.

Location
China
Published
May 2026

Reported outcomes

−30%

quantified impactCost savings

+60%productivity+30%productivity

Strategic outcomes

Customer experience & trustProvided 24/7 multilingual customer supportNew product / capabilityAutomated resolution of common customer issuesMarket & geographic expansionSupported customers across global marketsCost efficiencyReduced electricity expenses through AI optimization
Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Productivity: 60% increase

AWS Solutions Case StudyMay 1, 2026Case studyInferred claimMedium evidence strength

The article says it automatically resolves 60% of common issues and improves customer service efficiency by more than 30%.

Normalized claim

Productivity: 30% increase

AWS Solutions Case StudyMay 1, 2026Case studyInferred claimMedium evidence strength

The article says it automatically resolves 60% of common issues and improves customer service efficiency by more than 30%.

Normalized claim

Quantified impact: 30% decrease

AWS Solutions Case StudyMay 1, 2026Case studyInferred claimMedium evidence strength

Deye also reports reduced electricity expenses by over 30% from its AI assistant for power trading optimization.

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
Customer
Ningbo Deye Technology Co., Ltd.
Provider
AWS
Maturity
Production

The article says the company also deployed an AI assistant for power-trading optimization and broader global cloud operations

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 3

  • 1Generative AI customer service
  • 2Contact center automation
  • 3Energy optimization assistant
  • Provide 24/7 multilingual support for a global customer base.
  • Reduce manual ticket processing and improve after-sales service responsiveness.
  • Support compliance, low latency, and secure cross-border operations at global scale.
  • Deye uses Amazon Connect Customer through ConnectNow as the customer service platform.
  • Amazon Bedrock powers the generative AI chatbot that references knowledge bases and assists live agents.
  • The broader solution also uses Amazon EC2, Amazon RDS for MySQL, Amazon EKS, Amazon CloudFront, Amazon Gateway Load Balancer, Amazon GuardDuty, and Amazon Inspector.
  • The AI customer service system supports more than 30 languages with 24/7 availability.
  • The article says it automatically resolves 60% of common issues and improves customer service efficiency by more than 30%.
  • Deye also reports reduced electricity expenses by over 30% from its AI assistant for power trading optimization.
Architecture

Deye built a global AWS architecture across multiple regions and uses ConnectNow on Amazon Connect Customer with Amazon Bedrock for multilingual generative AI customer service. The article also describes AWS infrastructure services including Amazon EC2, Amazon RDS for MySQL, Amazon EKS, Amazon CloudFront, Amazon Gateway Load Balancer, Amazon GuardDuty, and Amazon Inspector, along with an AI assistant for energy optimization.

Sources & evidence1
Evidence: Medium65/100Evidence strength
  • Customer explicitly identified
  • Deployment status explicitly supported
  • Primary source available
  • Quantified outcome available
  • Technical implementation details available
Type: Case StudyPublished: May 1, 2026Publisher: AWS Solutions Case StudyEvidence: PrimaryConfidence: High

AI-generated summary. Verify important details with the linked sources before relying on this case.

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