Decision acceptance deadline

21.04.25 (inclusive)

Form of award

Product Director (Chief Product Officer, CPO)

Product status

Idea

Task type

ICT tasks

Сфера применения

Car industry

Область задачи

Other solutions for the creative industry

Purpose and description of task (project)

Create a machine learning algorithm that, based on telematics data and user behavior, can predict potential vehicle malfunctions before they actually occur. The system will be integrated with the LiTRO mobile app and will become part of the "Roadside Assistance" subscription.

Type of product

Mobile app

Problem description

Drivers often encounter sudden breakdowns along the way, which can be prevented with early warning. To date, users receive help only after the fact, which creates stress, temporary losses and reputational risks for the service.

Expected effect

Increasing the value and uniqueness of the LiTRO subscription Reducing the number of emergency calls Increasing customer loyalty The ability to offer proactive maintenance by partners

Full name of responsible person

Plavenchuk Evgeny Alexandrovich

Note