Transportation and Storage
How to Optimise Route Fare Systems with AI?
Transportation and Storage
How to Optimise Route Fare Systems with AI?
Business Case
The challenge is to optimise route pricing and adjust tariffs dynamically to improve service profitability and user satisfaction.
Objetivos
Identify solutions that enhance data analysis and enable real-time decision-making in route pricing.
Use case
Casos de Uso
Infraestructura
Hibrida;
Tecnologías utilizadas
Tecnologías utilizadas
Datos utilizados
Internal business data and public transport usage data.
imagen
imagen
Recursos utilizados
Project team composed of four people.
Dificultades y aprendizaje
One main issue was identifying and integrating all relevant data sources.
KPIs (impacto en el negocio y métricas del modelo)
The solution helped optimise planning time and improved tariff competitiveness.
Financiación
Financiación
Colaboradores
multimedia
