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.
eleven worked for the head finance of a global leader in energy and in industrial infrastructure in order to help him better anticipate risks of financial drifts among the group’s entities.
eleven built machine learning algorithms together with business managers giving the head of finance a 6-month forecast of financial drift risks in the company.
eleven also put in place a mid-term industrialization strategy to keep improving prediction models.
month prediction of financial drift of the group’s entities
losses identified thanks to the machine learning models
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