MicrosoftEvidence: Low40/100

CDW deploys AI avatars for enhanced retail service

CDW collaborated with Microsoft to enhance customer service in retail using lifelike, multilingual AI-powered avatars. The avatars leverage Azure TTS Avatar and Azure AI services to simulate natural human conversations and deliver empathetic, real-time product support. With accessibility modes and the ability to handle voice and text queries in dozens of languages, these avatars automate tasks like order taking, guided shopping, and customer assistance. The avatars free up retail staff for higher-priority projects by managing repetitive and routine tasks. AI-driven contextual analysis provides customers with highly personalized product recommendations and streamlined service. The solution facilitates seamless workflow integration across retail operations, from onboarding to troubleshooting. Behind the scenes, the system queries relevant knowledge bases and business data to respond accurately to customer and employee requests.

Organization
CDW
Industry
Retail
Published
November 2024
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
Customer
CDW
Provider
Microsoft
Maturity
Unknown
Linked source
BizTech Magazine

No explicit deployment-stage evidence found.

Customer identity supportedSource describes one deploymentMaturity evidence evaluated

Primary read

Use case focus

Showing 3 of 3

  • 1Retail Customer Support via AI Avatar
  • 2Automated Order Taking with AI Agents
  • 3Multilingual Conversational AI for Retail
  • Developed AI-powered avatars with Azure TTS Avatar and Azure AI services for natural spoken and text conversation.
  • Integrated workflow automation like order fulfillment and onboarding by voice and chat agents.
  • Configured accessibility features, including multilingual support, to broaden reach and inclusivity.
  • Leveraged contextual analysis for personalized recommendations and rapid, accurate responses to customer and employee needs.
Freed retail employees for more complex, value-added work.
Sources & evidence1
Evidence: Low40/100Evidence strength
  • Customer explicitly identified
  • Independent source available
  • Technical implementation details available
Type: News ArticlePublished: Nov 20, 2024Publisher: BizTech MagazineEvidence: SecondaryConfidence: Low

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