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.
Why AI Now?
The transport of people and goods, always fundamental to society, 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. With RapidMiner, travel, transport and logistics companies can chart a course for an exciting and profitable future.
Travel, Transport & Logistics 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
Highlighted RapidMiner Impact
A logistics company increased profitability by dynamically predicting optimal cargo pricing, capacity and routes.
An airline created new dynamic pricing by using seat availability, competitive shifts and seasonal impact to generate an optimal price, increasing revenue and profit.
A city planning department analyzed traffic and road utilization to predict which surfaces need repair next, minimizing traffic disruption on busy urban roads.
An airline improved the accuracy of its predicted flight arrival times and dynamically deployed support functions to boost utilization and ensure just-in-time service.
A travel company used smart routing of customer service cases to get them promptly to the right teams, reducing negative reviews and improving their brand.
A transport services business used text analytics of employee reviews to predict which locations may provide subpar service, and acted to avoid customer attrition.
What Our Customers Say
“Easy to use with great support and fast production readiness.”
– Product Manager in the Transportation Industry