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, leader of bulk diesel fuel distribution to transport operators in France, wanted to review his pricing strategy to face increasing competition on price in a non transparent market (no access to competitors’ prices).
eleven developed a smart pricing algorithm to estimate competitors’ prices and increase transparency for his client. A dashboard has been designed and made available for employees to adjust prices in real time depending on competitors’ prices, thus evolving from a cost-based pricing towards a competition-based pricing.
Advanced data vizualisation techniques (ggplot2, dplyr…) and supervised and unsupervised machine learning models have been leveraged by consultants during the project.
of EBITDA net gain per year
15% to 25% margin improvement
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