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 Buildots Uses AI and 360-Degree Cameras to Monitor Construction Progress and Ensure Compliance

Construction

How Bayer Australia Uses AI and Google Cloud to Predict Health Trends and Optimize Marketing

Healthcare & Medical

How Storyflash Automates Podcast and Audio News Creation Using OpenAI and AudioStack AI Components

Media & Entertainment

How Comcast Reduced Wait Times by 30% and Support Calls with AI Virtual Assistants

Media & Entertainment

How Now Serving LA Uses AI-Powered Search and Chatbot to Enhance User Experience and Boost Sales

Retail & E-commerce

How Ility (Appinventiv) Combines AI, IoT, and Cloud to Automate Commercial Property Management

Real Estate