Personalized Shopping Experiences Drive Retail Operational Efficiency
A retail-focused AI agent, built using Microsoft Copilot Studio and the Power Platform, enables personalized product discovery for both in-store associates (B2B) and end customers (B2C). The Copilot Studio-based shopping agent can be embedded across multiple user interfaces, allowing contextual suggestions and sales assistance via channels of choice. It integrates with both core business applications and third-party data to make relevant product information easily accessible, supporting faster, data-driven sales closures. Designed to address operational inefficiencies and labor shortages, the agent helps retailers adapt to fluctuating demand while enhancing shopper experiences. By leveraging out-of-the-box connectors and robust flow design on the Microsoft cloud, the solution accelerates deployment and scales effortlessly within retail environments.
- Organization
- Unspecified
- Industry
- Retail
- Location
- Global
- Published
- May 2025
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Unspecified
- Provider
- Microsoft
- Maturity
- Production
- Linked source
- learn.microsoft.com
Designed to address operational inefficiencies and labor shortages, the agent helps retailers adapt to fluctuating demand while enhancing shopper experiences
Primary read
Use case focus
Showing 3 of 3
- 1AI-powered Personalized Product Discovery Agent
- 2Assisted Omnichannel Shopping Experience
- 3Retail Sales Agent Powered by Copilot Studio
- Deployment of a personalized product discovery AI agent using Microsoft Copilot Studio and Power Platform.
- Integration with core retail applications and external data to deliver contextual guidance and recommendations across digital and in-person channels.
- Headless, embeddable AI agent that can be tailored to multiple personas (store associates or customers) and accessed through various interfaces.
Sources & evidence1
- Customer explicitly identified
- Deployment status explicitly supported
- Technical implementation details available
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