Analytics in travel and transportation
To maximize profitability and win market share, travel and transportation organizations must make informed decisions about assets, capacity and customer service.
Rising fixed costs for assets and infrastructure, fuel price volatility, economic stagnation and fluctuating demand are all putting a strain on the travel and transportation industry. Companies need to uncover the opportunities being created by population growth, urbanization and globalization—and take advantage of them before their competition.
With IBM Analytics, you can gain a better understanding of your customers, predicting future demand and delivering the services they need when they need them. The insights provided by analytics can help you optimize operations and better manage performance of routes, properties and assets.
Enhance services to increase revenue and manage capacity
TUI Deutschland created a pricing system that accommodates customers' preferences and habits when setting prices and simplified the overall process to help ensure consistency and profitability.
Grupo Presidente implemented an analytics solution that allows the hotel and restaurant operator to accurately predict occupancy rates a week or a month in the future.
Go Voyages developed better marketing promotions using insight generated from behavioral analysis, increasing revenue by converting larger numbers of inquires to completed sales.
Dramatically improve the end-to-end customer experience
Amsterdam Tourism and Convention Board used predictive analytics to gain a 14 percent boost in hotel guests and overnight stays, and a 17 percent increase in the number of conventions held in Amsterdam.
Virgin Atlantic gained insights into customer online behavior through optimized tagging, improved metrics and reporting to facilitate faster, data-driven marketing decisions.
Maximize the availability of assets and infrastructure
Yellow Buses harnessed analytics to enhance route planning, monitor vehicle efficiency and offer customers better value fares.
Improve operational efficiency and reduce environmental impact
Con-way Freight was able to run highly reliable and accurate ad hoc reports in a matter of seconds to look at shipments delivered on a specific day to a specific region, state or customer.
Daimler FleetBoard reduced fuel consumption by 5 to 10 percent, extended maintenance intervals and enabled dynamic route planning by collecting and analyzing data from commercial vehicles' onboard systems.
Assure safety and security
FleetRisk used predictive models based on each vehicle’s electronic log data and other systems to assess key risk factors, such as fatigue, and identify drivers who are at the greatest risk of being involved in an accident.
Featured industry expert
Information Management Industry Marketing - Consumer Products,
Travel and Transportation