How a furniture retailer with 330 stores improved its reputation management with AI

A furniture retailer with 330 stores across France faced a significant challenge in their online reputation management amid a growing volume of customer reviews. 

The brand wanted to respond to every review to strengthen their local presence, enhance customer relationships, and optimize their reputation management strategy.

However, with over 4 000 customer reviews collected monthly across Google and Trustpilot, balancing massive volume with response quality became increasingly difficult. 

The solution

Automate responses to reviews without comments and suggest ready-to-send responses for the other reviews, to speed up processing. 

The benefits

Customers feel reassured and valued through personalized replies

Improvement opportunities are identified for continuous customer service enhancement

Teams relieved from repetitive tasks, focusing on the most sensitive or complex reviews

Reputation management under control with meaningful, consistent responses

gérer son e-réputation téléphone

30%

review automation achieved

65%

of non-automated reviews processed in under 15 seconds by advisors

100%

 personalized response rate to all reviews

Technical details

Use of next-generation language models for fine understanding of context and customer sentiment, generating natural and appropriate responses. 

A dedicated multichannel architecture built for effective reputation management. 

Future developments

  • Automation of positive review responses 

  • Leveraging review analysis to anticipate customer expectations 

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