Rank#2,021of 3,449
MicrosoftProductionEvidence: Low40/100

Microsoft Azure AI Agents for Customer Service and Logistics Automation by NTT DATA

Use case typeWorkflow automationUpdated Nov 25, 2024

NTT DATA describes Microsoft Azure AI Agents built in Azure AI Studio to automate customer service and logistics workflows. The agents support compliance documentation, shipment tracking, vehicle monitoring, route planning, fuel optimization, and conversational customer support. NTT DATA says the solution uses retrieval-augmented generation and over 500 prebuilt components for tailored industry deployments.

Organization
NTT DATA
Industry
Manufacturing
Location
Japan
Published
November 2024

Reported outcomes

Strategic outcomes

Cost efficiencyImproved operational visibility and efficiencyCustomer experience & trustProvided 24x7 customer supportRisk & complianceReduced risk of penalties through compliance automationInnovation & cultureAccelerated business transformation with AI-driven cloud modernization
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
Customer
NTT DATA
Provider
Microsoft
Maturity
Production
Linked source
NTT DATA

Enhanced operational visibility and efficiency Reduced risk of penalties through compliance automation Improved customer experience with 24x7 support Cost-effective scalability Accelerated business transformation with AI-driven cloud modernization

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 4

  • 1Workflow automation
  • 2Compliance automation
  • 3Customer service automation
  • Improve customer service
  • automate compliance documentation
  • optimize logistics and fleet management
  • NTT DATA developed Microsoft Azure AI Agents in Azure AI Studio with Copilot Studio for custom deployment.
  • The agents use retrieval-augmented generation (RAG) models to retrieve relevant information and generate responses from corporate knowledge bases and live data.
  • The system autonomously automates compliance documentation, shipment tracking, vehicle status monitoring, route planning, fuel consumption optimization, and natural-language customer interactions.
Technologies
Microsoft Azure AI AgentsAzure AI StudioCopilot StudioRetrieval-Augmented Generation
  • Enhanced operational visibility and efficiency
  • Reduced risk of penalties through compliance automation
  • Improved customer experience with 24x7 support
  • Cost-effective scalability
  • Accelerated business transformation with AI-driven cloud modernization
Architecture

NTT DATA says the solution is built with Azure AI Studio and Copilot Studio, uses Azure AI services, and relies on retrieval-augmented generation (RAG) models. The article also cites over 500 prebuilt components supporting industry use cases and describes deployment into customer environments with integration to existing systems and ongoing monitoring.

Sources & evidence1
Evidence: Low40/100Evidence strength
  • Customer explicitly identified
  • Deployment status explicitly supported
  • Technical implementation details available
Type: Blog PostPublished: Nov 25, 2024Publisher: NTT DATAEvidence: VendorConfidence: Medium
Primary source

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

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Customer evidence
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Provider evidence
Microsoft provider pageMicrosoft ranked cases
Market context
Manufacturing AI use casesManufacturing industry insightsJapan country insights
AI patterns
AgentRAG
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