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The Home Depot and Optus virtual agents using Dialogflow CX (Contact Center AI)

The Home Depot and Optus are named customers using Dialogflow CX virtual agents in contact center operations. The article describes how the solution helps handle routine inquiries, support multi-turn conversations, and scale across channels while reducing live-agent load. It also highlights enterprise security and deployment features such as VPC Service Controls, prebuilt agents, and the visual flow builder.

Organization
The Home Depot
Industry
Retail
Published
January 2021

Reported outcomes

Strategic outcomes

Speed & agilityFaster scaling of virtual agentsCustomer experience & trustSeamless multi-channel customer engagementCustomer experience & trustMore meaningful customer conversationsScale & capacityReduced routine agent handling load

Primary read

Use case focus

Showing 3 of 3

  • 1Customer Service Automation
  • 2Conversational AI
  • 3Contact Center Modernization
  • Reduce routine handling load on contact center agents.
  • Improve call containment and operational efficiency without increasing costs.
  • Support complex, multi-turn customer conversations across channels.
  • Deploy Dialogflow CX Virtual Agents as part of Google Cloud Contact Center AI.
  • Use prebuilt agents for routine questions such as billing, order status, and location inquiries.
  • Use the visual flow builder and experiments to design, test, and refine conversations.
  • Connect Dialogflow CX with backend systems using VPC Service Controls.
  • The Home Depot cites higher call containment rates and seamless multi-channel engagement.
  • Optus says Dialogflow CX enables faster scaling of virtual agents and more meaningful customer conversations.
Architecture

Dialogflow CX virtual agents handle routine and multi-turn customer conversations across channels, with prebuilt agents, visual flow construction, experimentation tooling, and VPC Service Controls for secure backend connectivity and regionalized deployment.

Sources & evidence1
ExpandedExpanded

The same organization appears in newer AI deployment evidence.

  • Same organization re-documented as recently as 2025.

Measures whether this deployment's public evidence persists — not whether the system is still in production.

Groundedness: 5/5Type: Blog PostPublished: Jan 28, 2021Publisher: Google CloudEvidence: VendorConfidence: Medium

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

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