AutomateNexus
/CASE STUDIES/

Retail / Customer Experience

AI-Powered Customer Sentiment Analysis for Retail Chain

Client: GlobalRetail Inc.

AutomateNexus' sentiment analysis system helps retail businesses understand and respond to customer feedback at scale.

SERVICES

AINatural Language ProcessingRetail AnalyticsCustomer Experience
REDUCED TIME TO IDENTIFY CRITI
42%IMPROVED OVERALL CUSTOMER SATI
120+SAVED HOURS OF MANUAL REVIEW
AI-Powered Customer Sentiment Analysis for Retail Chain

THE CHALLENGE

What GlobalRetail Inc. was facing

GlobalRetail was unable to effectively process thousands of daily customer feedback submissions across their 200+ locations, resulting in missed opportunities to address recurring issues and improve customer satisfaction.

Retail / Customer Experience challenge
Retail / Customer Experience context

The sentiment analysis system has transformed how we understand our customers. We're now able to identify and address issues before they become widespread problems, and our customers feel heard in a way they never did before.

Rebecca Chen, Chief Customer Officer, GlobalRetail Inc.

Solution implementation
Data dashboard

THE SOLUTION

How we solved it

We developed an AI-powered sentiment analysis system that automatically processes customer feedback from multiple channels, categorizes issues, identifies trends, and alerts store managers to critical problems requiring immediate attention.

Reduced time to identify critical issues from days to minutes
Improved overall customer satisfaction scores by 42%
Saved 120+ hours of manual review time per week
Identified and resolved 3 major recurring issues affecting 35% of customers

TECHNOLOGY STACK

OpenAI APIPython NLPAWS Lambdan8nTableauMake.comPower BIRetool

OUR APPROACH

01

Multi-channel data collection

02

AI-powered sentiment analysis

03

Automated alert system

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