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 global banking leader, asked us to help him improve the efficiency of his processes.
Bank operators must possess specific data on their customers (place of residence, identity papers…). eleven designed a machine learning algorithm enabling automatic extraction of key customer data out of banking data, thus reducing data collection time for the bank.
The solution has been industrialized and is now in production in our client’s environment.
of cost savings
Sur le même sujet