Continuous improvement
After the trip, the application is a great source of data for companies:
- Analysis of usage information and scores
- Continuous improvement strategy
- Customisation and intelligent generation of service proposals
- Study of behaviour patterns and demand forecast
- Efficiency and optimisation of operation and maintenance
Customer knowledge
- The information gathered from the monitoring itself is reinforced by feedback actions and satisfaction surveys.
- Analysing and exploiting the information collected will help to improve service personalisation, thus improving customer satisfaction and travel experience.
- It will also make it possible to define behaviour patterns and streamline and optimise operation and maintenance.
Experience personalisation
- Improvement of the services offered and personalised suggestions in accordance with the traveller's profile.
- Improvements based on feedback
- Personalised loyalty programmes/gamification
- Improved onboard services
- Services at the stations
- Premium services: invoicing, bookings, promotions, etc.
- After-sales services
- Best rate for travellers
Behaviour patterns
Digital footprints generate heat maps that help to study behaviour patterns, with applications such as:
- User group classification
- Programming of reactions
- Space distribution
- Demand forecast based on S-D matrices
- Correlation of demand with time factors, events, weather, etc.
- What-If scenarios, support for the definition of strategies and adjustment of supply to demand
- Control of passengers entering the station
Efficiency and optimisation
- Asset Management
- Optimisation of maintenance
- Prescriptive and predictive maintenance
- Characterisation of incidents and impacts
