How H&M Uses AI Agents to Optimize Customer Engagement and Drive Sales Performance

By: GoBeyond Team

July 3, 2025

3 min read

H&M AI agent interface showing personalized offers and inventory analytics

Quick Overview

H&M employs AI agents to analyze customer interactions and sales data, delivering insights that enable personalized outreach and inventory optimization. The AI tailors communications and offers based on data-driven analytics, improving customer engagement and sales performance. AI agents operate continuously, providing timely responses and nurturing leads through the sales funnel, resulting in increased sales and enhanced customer satisfaction.

H&M

Company Size

Large multinational retail fashion company

Revenue Range

$20B+ annual revenue

Primary Challenge

Enhancing personalized customer engagement and optimizing inventory management

Key Metrics

\- Improved customer engagement\- Optimized inventory levels\- Increased sales conversion rates\- 24/7 lead nurturing and customer support

The Problem

Manual engagement and inventory decisions lacked personalization and timely responsiveness

The Solution

AI agents analyzing sales and customer data to personalize outreach and optimize inventory

Results

\- Higher customer engagement and loyalty\- Increased online and in-store sales\- Reduced inventory waste and stockouts\- Improved operational efficiency