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.

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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

Mobirise

Drive Revenue

1. Mine customer travel data for         insights into unmet needs

2. Forecast demand precisely to          match capacity and maximize        yield

3. Adopt data-driven, dynamic            pricing to adjust to market              conditions

4. Analyze markets, routes &               customer segments to find             new opportunities

Mobirise

Cut Costs

1. Apply predictive maintenance         to fleets & infrastructure to             reduce repair costs

2. Better predict delays to                    improve scheduling of support        resources

3. Analyze traffic to optimize                network flow and improve                travel experiences

Mobirise

Avoid Risks

1. Predict storm patterns to                 minimize passenger and cargo       disruption

2. Analyze customer voice to                address negativity & prevent          reputation damage

3. Improve talent management by      predicting fit on new hires

Business Value

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.

Let us how you how data science can help chart a course for a more profitable future by driving revenue, cutting costs, and avoiding risks.

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