Normalized claim
Quantified impact: 50% increase
More than 50% of the company's code is now AI-generated.
Anker Innovations: Generative AI agentic platform for R&D, customer service and marketing using AWS
Use case typeWorkflow automationUpdated Jun 13, 2026
Anker Innovations, a global smart hardware company, built an enterprise AI platform to apply generative AI across R&D, customer service, marketing, finance, and supply chain workflows. The company deployed more than 300 AI agents and used AWS services to accelerate coding, improve customer support, and automate advertising operations at global scale.
- Organization
- Anker Innovations
- Industry
- Consumer & Food
- Location
- China
- Published
- May 2026
Reported outcomes
+50%
quantified impactOther quantified impact
70%quantified impact+20%quantified impact
Strategic outcomes
New product / capabilityBuilt an enterprise AI agent platformNew product / capabilityDeployed multilingual AI customer supportNew product / capabilityAutomated advertising campaign management
Why do we believe this?Outcome claims, sources, and evidence checks
Normalized claim
Quantified impact: 70%
The AI support system resolves 70% of support tickets.
Normalized claim
Quantified impact: 20% increase
The advertising system manages more than 20,000 ad campaigns, with more than 20% of on-platform ads fully automated by AI.
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Anker Innovations
- Provider
- AWS
- Maturity
- Production
- Linked source
- AWS Solutions Case Study
The company deployed more than 300 AI agents and used AWS services to accelerate coding, improve customer support, and automate advertising operations at global scale
Customer identity supportedSource describes one deploymentMaturity supported
Primary read
Use case focus
Showing 3 of 5
- 1Agentic AI
- 2Workflow automation
- 3Customer support automation
- The company needed to scale AI adoption across multiple business functions while improving operational efficiency.
- Customer support required faster multilingual responses and lower handling burden.
- Marketing operations needed more precise automated bidding, targeting, and campaign management.
- R&D teams wanted to accelerate development and code generation using enterprise AI capabilities.
- Anker Innovations used Amazon Bedrock to integrate foundation models and create specialized agents for demand generation, product documentation, VoC insights, code review, and operations support.
- The company used Amazon Q Developer to generate production-ready Java, Go, and Python code from natural-language requirements while learning from internal codebases.
- A customized multilingual customer support system was built with Amazon Connect Customer to handle conversations and respond to consumer needs.
- Amazon SageMaker was used to train models and orchestrate workflows for the proprietary advertising system, enabling automated bidding, keyword targeting, retargeting optimization, and ad management.
- The company centralized these capabilities in its AIME platform, which connects multiple LLMs and supports enterprise workflow automation.
- More than 50% of the company's code is now AI-generated.
- The AI support system resolves 70% of support tickets.
- The advertising system manages more than 20,000 ad campaigns, with more than 20% of on-platform ads fully automated by AI.
- The AIME platform supports more than 300 active AI agents and has accumulated more than 10 million invocations.
- The deployment improved enterprise-wide operational efficiency and user experience across global operations.
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 13, 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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