How a Retail Client Improved Customer Feedback Response Time and Satisfaction Using AI Analytics

By: GoBeyond Team

July 27, 2025

3 min read

Retail client feedback analytics dashboard showing response times and satisfaction metrics

Quick Overview

A retail client using TLG Marketing integrated AI-driven analytics to consolidate scattered customer feedback. This enabled a 40% faster response time to customer issues and significantly boosted customer satisfaction scores by quickly addressing feedback insights.

Retail Client (anonymous)

Company Size

Mid-sized retail company

Revenue Range

Not publicly disclosed

Primary Challenge

Managing and responding to scattered customer feedback efficiently

Key Metrics

- 40% faster response time
- Higher customer satisfaction scores

The Problem

Dispersed feedback channels caused delays in response and missed insights

The Solution

AI-driven customer feedback analytics platform consolidating data and providing actionable insights

Results

- Faster customer issue resolution
- Improved customer satisfaction and loyalty
- Enhanced ability to act on feedback trends

Details

Industry

Retail & E-commerce

Departments

Customer Support & Service

Use Cases

User Feedback Analysis

More Case Studies

See All

How DNAMIC Developed AI-Powered Wearable Devices for Cardiovascular Health Monitoring

Healthcare & Medical

How Docugami Automates Insurance Certificates of Insurance (COIs) and Loss Run Data Extraction for a Top-20 Insurance Company

Finance & Banking

How Independence Pet Group Used Superside’s AI Workflow to Deliver 14 Brand Illustrations in 11.5 Hours

Professional Services & Consulting

How Cintas Uses Vertex AI Search to Improve Internal Knowledge Access and Client Response

Technology & SaaS

How Ava Labs Used AI to Generate Over 3,300 Image Components for Twitter Spaces Backgrounds

Technology & SaaS

How MetroBank Group Increased Customer Satisfaction by 30% with AI-Powered Analytics

Finance & Banking