What challenges did Unspecified face before AI implementation?

Retailers experience operational inefficiencies and struggle to react to labor shortages, fluctuating demand, and rising competition. Traditional product discovery and sales methods are insufficient for today's omnichannel shopping expectations. Need for seamless, personalized, and assisted shopping experiences for both store staff and end customers.

What was the impact of the AI solution?

Improved customer engagement and increased conversion rates by delivering personalized product advice. Reduced operational friction and time-to-close for sales through assisted, omnichannel experiences. Enhanced staff efficiency, enabling more consistent customer service across fluctuating labor conditions.

Source

Microsoft

Personalized Shopping Experiences Drive Retail Operational Efficiency

Use case typeShopping recommendationsUpdated Jun 13, 2026

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

Reported outcomes

Strategic outcomes

New product / capabilityEnabled personalized product discovery agentCustomer experience & trustImproved personalized shopping experiencesSpeed & agilityReduced sales friction and faster closuresScale & capacityScaled retail support across labor conditions

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

Retailers experience operational inefficiencies and struggle to react to labor shortages, fluctuating demand, and rising competition.
Traditional product discovery and sales methods are insufficient for today's omnichannel shopping expectations.
Need for seamless, personalized, and assisted shopping experiences for both store staff and end customers.

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.

Technologies

Copilot Studio Microsoft Power Platform

Improved customer engagement and increased conversion rates by delivering personalized product advice.
Reduced operational friction and time-to-close for sales through assisted, omnichannel experiences.
Enhanced staff efficiency, enabling more consistent customer service across fluctuating labor conditions.

Sources & evidence1

Groundedness: Unavailable

Primary source

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

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Customer evidence