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More Retail Automates CSAT Feedback Calls with Voice AI

Feedback automation impact

Voice AI automation streamlined customer feedback operations, driving faster insights and massive cost reduction.

10×

faster completion

82%

OpEx saved

88%

CSAT captured

0.53×

efficiency ratio*
Organisation
More Retail Ltd
Website
https://www.moreretail.in
Industry
Retail
Founded
2007
Channel
Voice AI (Outbound Surveys)
Usecases
Automated CSAT surveys, multilingual feedback collection, sentiment and quality analysis
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India’s leading supermarket chain faced high costs and delays in feedback collection. Gnani.ai introduced an AI-powered multilingual automation system for CSAT surveys and sentiment analysis.

The Solution

More Retail automated its CSAT feedback process using Activate365, delivering multilingual surveys and sentiment analysis at scale. This approach reduced costs and delivered faster, actionable insights.

01

Deployed automated CSAT voice campaigns in 8 languages to ensure inclusive feedback collection.

02

Applied AI-based sentiment analysis on recorded feedback for qualitative insights at store level.

03

Enabled real-time performance dashboards for benchmarking and corrective actions across branches.

04

Automated survey scheduling and workflows to achieve faster response cycles with minimal manual input.

This solution transformed feedback operations, improving visibility and reducing operational effort drastically.

The Impact

More Retail significantly reduced operational costs, accelerated feedback analysis, and improved CSAT coverage using voice AI.

10×

faster

82%

OpEx saved

88%

CSAT

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