LLM use case: better understand customer expectations for a player in the travel sector
Eleven helped a world leader in travel booking to better understand customer expectations and pain points.
Churn prevention
Customer retention improvement for a major telecommunication operator
Our client, a major telecommunication operator, asked eleven to identify and implement churn prevention initiatives in a context of e-commerce growth and increasing direct-to-consumer phone distribution.
eleven developed a recommandation tools to secure customers close to the end of their contract, thus significantly reducing churn.
The tool integrates self-learning algorithms to ensure constant improvement of models. The industrailization of the tool was most welcomed by in-store sales agents.
7%
sales increase in volume
3,2%
margin increase though product mix improvement
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