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 American Eagle Reduced Live Chat Volume by 20% and Improved Customer Satisfaction with AI Chatbot

Retail & E-commerce

How ABB Ltd. Increased Production Efficiency and Reduced Energy Costs with AI-Enhanced Robotics

Manufacturing

How IndiGo Improved Customer Satisfaction to 87% with Yellow.AI Chatbots Handling 42M Messages Quarterly

Hospitality & Tourism

How RE/MAX Uses AI to Personalize Property Recommendations and Improve Buyer Satisfaction

Real Estate

How Botkeeper Uses AI to Automate Bookkeeping and Empower Accounting Firms to Scale

Technology & SaaS

How H&M Uses AI-Powered Chatbots and Sales Agents to Enhance Customer Engagement and Boost Online Sales

Retail & E-commerce