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.
Railway predictive maintenance
Design of an optimized maintenance strategy for a railway concessionaire
A railway concessionaire asked eleven to help him improve the concession net value through maintenance plans optimization.
eleven, along with his client, developed predictive maintenance tools combining machine learning and operational expertise on three time horizons corresponding to the client’s bsuiness stakes:
1. Detailed short-term maintenance operations planning
2. Mid-term planning enabling to optimize maintenance machines renting cost
3. Long-term planning to estimate replacement operations and thus better tailor budgets
The solution has been industrialized on an online platform accessible to employees and partners to share information and simplify exchnages.
Data governance and models monitoring rules have been put in place to ensure results reliability over time.
20%
maintenance operations reduction and increased infrastructure lifetime
300k € / an
maintenance cost savings
Share
Sur le même sujet
Determination of a sales attribution model for the Sales Advisor of a customer service department of a world leader in luxury goods
Within Customer Services in the luxury industry, Sales Advisors play a key role in creating a privileged relationship with customers and maximizing sales.