Travel, Transport & Logistics
Improve safety on roadways, anticipate delays, maintain fleets and analyze the optimal routes to chart a course for an exciting and profitable future.
Disrupting the way we move people and goods
It’s no secret that transportation is fundamental to society. And, we’re all witnessing the rapid and remarkable changes that are unfolding in the industry. The RapidMiner data science platform helps make travel, transportation and logistics safer, cleaner and more reliable – all while reducing costs.
Travel, Transport & Logistics Industry Use Cases
Drive Revenue
- Mine customer travel data for insights into unmet needs
- Forecast demand precisely to match capacity and maximize yield
- Adopt data-driven, dynamic pricing to adjust to market conditions
- Analyze markets, routes & customer segments to find new opportunities
Cut Costs
- Apply predictive maintenance to fleets & infrastructure to reduce repair costs
- Better predict delays to improve scheduling of support resources
- Analyze traffic to optimize network flow and improve travel experiences
Avoid Risks
- Predict storm patterns to minimize passenger and cargo disruption
- Analyze customer voice to address negativity & prevent reputation damage
- Improve talent management by predicting fit on new hires
Why AI Now?
The transport of people and goods is undergoing a dramatic change. Smart roadways and vehicles give AI the opportunity to improve efficiency and safety beyond what drivers can do on their own.
Maintenance of fleets and infrastructure can be undertaken based on precise predictions about which assets will need repair next, eliminating guesswork or routine scheduling. Ride sharing, as both a consumer and commercial practice, is redefining what it even means to be in the transport business.
And we are on the verge of astounding and disruptive new forms of travel, such as hyperloop, which will be made possible by machine learning and advanced analytics. Industry players clinging to the past will swiftly be left behind.
What Our Customers Say
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