MicrosoftEvidence: Medium60/100

Leading Retailer Revolutionizes Call Center Experience with AI Voice Assistant

A leading US-based retailer partnered with Insight US to transform its call center operations using generative AI. Previous IVR systems required human agents to handle 90% of all customer inquiries, resulting in inefficiency and a poor customer experience. Through a collaborative Envisioning workshop, Insight US and the retailer identified call center automation as a high-impact use case for AI implementation. The solution involved deploying an interactive voice assistant powered by Azure OpenAI Service, integrated with Azure Communication Services for call handling, and leveraging retailer data from Azure SQL and Azure Database PostgreSQL. The generative AI-driven voice assistant automates responses to common customer queries and seamlessly connects to the retailer's databases for real-time information. Insight US ensured that the solution fit into the retailer’s existing Azure infrastructure, with secure data access and custom logic via RAG (Retrieval-Augmented Generation). The deployment allows the retailer to deflect a significant portion of inquiries from human agents, freeing them to focus on higher-value tasks and improving customer satisfaction. The partnership demonstrates a systematic approach to digital transformation, emphasizing technology alignment with business value. Insight US continues to collaborate with the retailer on refining the solution and roadmap for future AI use cases.

Organization
US-based retailer
Industry
Retail
Published
March 2025

Reported outcomes

Impact: 40% to 90%

Other quantified impact

Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Quantified impact: 40-90% decrease

partner.microsoft.comMar 17, 2025Case studyInferred claimMedium evidence strength

Expected reduction of human agent involvement from 90% to 40% of inquiries.

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
Customer
US-based retailer
Provider
Microsoft
Maturity
Unknown

No explicit deployment-stage evidence found.

Customer identity supportedSource describes one deploymentMaturity evidence evaluated

Primary read

Use case focus

Showing 3 of 3

  • 1Automated Call Center Voice Assistant
  • 2AI-Powered Customer Inquiry Automation
  • 3Retrieval-Augmented Answer Generation for Retail
  • Implemented an interactive voice assistant (IVA) powered by Azure OpenAI Service.
  • Leveraged Azure Communication Services for seamless voice-to-call center integration.
  • Connected IVA with Azure SQL and Azure Database PostgreSQL for real-time data access.
  • Utilized Retrieval-Augmented Generation (RAG) to tailor AI responses using internal data.
  • Ongoing refinement and expansion of AI-driven use cases.
  • Expected reduction of human agent involvement from 90% to 40% of inquiries.
  • Freed up staff to focus on store operations and complex problem-solving.
Architecture

The solution uses an Azure-based interactive voice assistant (IVA) powered by generative AI. Azure Communication Services handle incoming voice calls, which are processed by Azure OpenAI Service. Customer and inventory data required for personalized responses is accessed securely from Azure SQL and Azure Database PostgreSQL. The Retrieval-Augmented Generation (RAG) framework enables the assistant to fetch and customize knowledge from these databases, enabling automation for 90% of call inquiries.

Implementation partners1
Sources & evidence2
Evidence: Medium60/100Evidence strength
  • Customer explicitly identified
  • Primary source available
  • Quantified outcome available
  • Technical implementation details available
  • Multiple corroborating sources available
Type: Case StudyPublished: Mar 17, 2025Publisher: partner.microsoft.comEvidence: PrimaryConfidence: High

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