Typical data challenges in the Transport industry
Large volumes of data are typically in silos across the business leading to a highly complex and time- consuming reporting process.
- There is no ability to track and detail individual asset performance holistically
- Visibility into operation journeys against scheduled journeys is delayed
- There is lack of insight into current and future energy consumption
- No ability to monitor current and future asset maintenance
Our Transport Solution Overview
Streamlined KPI performance reporting. By integrating siloed data and automating reports in our Decision Intelligence platform, your daily business reporting is delivered to you with great detail in service payment claims, penalties, deductions and more.
- Financial performance KPIs
- Financial penalty alerts
- Delay performance measurement
- Customer feedback
Real-time insight into operational performance. Easily track your operation’s actual performance against scheduled, detail performance obscurities and the impact on financials to support continuous improvements.
- Actual performance vs schedule
- Platform dwell and closures
- Scenario modelling
- Delivered services, headway, journey time analysis
Full view of your customer’s journey. Through ingesting patronage data and overlaying it against journey data, our platform highlights service utilisation and forecasts scheduling to support greater asset utilisation, service improvements and meet patronage demand.
- Patronage measurement using ticketing data
- Prediction for scheduling
- Approximate patronage measurement using train weight
- Passenger growth analysis
Proactive incident tracking. Easily monitor asset performance with automated alerts on incidents occurring within your operations. See a detailed analysis of incident attribution, cause and effect in a central location.
- Incident attribution
- Line possession management
- Incident monitoring and alerts
- Incident cause & effect analysis
Enhanced asset management capabilities. Predict analyses asset data to predict when, where and why the asset will require maintenance before wear and tear affects your operation schedules and has a financial impact.
- Utilisation and availability
- Maintenance monitoring
- Monitoring and alerting
- Machine Learning for predictive maintenance
Optimised energy consumption insights. Pledge provides daily operation energy consumption insights and forecasts 12-month energy usage to support organisations adopting more sustainable and cost-effective energy practices.
- Current energy usage
- Machine Learning on energy forecast
- Monitoring electrical assets
- Alerts on key energy measures
Australian Train Operator Case Study
Automated operational reporting
Our client is a large train operator currently operating and maintaining a line in Sydney, which contains 36km of track, 13 stations and delivering 346 daily services. Toustone enabled them to accurately track every journey with one dashboard that captures all train, station, and patronage data in one location. By unifying all their data sources they can now drill down from the big picture into individual train journeys to target specific performance issues.
What has Toustone been able to provide for your Train Operations?
“Toustone has been able to provide far more accurate detail than any other service we have worked with previously. We have gone from absolutely nothing and bad Excel reporting to actual live data feeds inside a year… it’s amazing.”Australian Train OperatorNetwork Standards & Performance Manager