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.
Our client, a world leader in road concessions, requested Eleven’s assistance to improve the maintenance strategy of its assets, resulting in a reduction of the environmental impact of interventions, an increase in the life span of road infrastructures and a reduction of associated costs.
Eleven developed a machine learning algorithm that improved the prediction of road infrastructure degradation, and implemented a data architecture and automated processing to put the model into production and integrate it into the BIM tools used by the client. This led to the definition of a new commercial infrastructure management offering, and the signing of a pilot with a state entity to develop the solution on a large scale.
Increased life span of road infrastructure
Reduction of CO2 emissions related to maintenance operations
of potential revenues estimated by 2022 from the new marketable prediction offer
reduction in maintenance costs
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