Apple and IBM are collaborating to develop mobile apps for enterprises. The app seen here is for flight attendants and provides passenger flight information.
Apple and IBM's enterprise partnership has yielded 10 new apps, including one that targets business travellers and others that make use of predictive analytics and iBeacons.
The first 10 apps came out in December, with further batches following in March and April. With the latest announcement, the companies have launched almost three dozen apps.
There are four in a new category called "employee experience." The Travel Plan iPhone app helps workers plan business travel by reviewing their calendar and identifying possible trips. The app can also look over a person's travel history and suggest bookings for things like hotel accommodation.
The Travel Track app, which works on the iPhone and Apple Watch, gives business travelers their itinerary. The app provides time- and location-based push notifications on items like meeting times and when a flight starts boarding. The app also uses analytics to figure out co-workers who are on the same trip and connects them.
The other two employee apps are Shift Track and Shift Sync. They both target businesses with hourly and shift workers, such as restaurants. The Shift Track app, for iPads, lets managers review employee schedules and make changes based on when coverage is needed. Managers can also reply to vacation requests.
Shift Sync for the iPhone and Apple Watch lets employees view their schedules, trade shifts and submit vacation requests. The app also displays available sick days and vacation days.
With Loan Advise, mortgage officers can use an iPad to gather client information in real time and offer more personalized loan information. The Loan Track iPhone app lets mortgage officers review loans being worked on and see what's needed to complete the application. The app uses analytics to prioritize what loan applications to work on based on how likely they are to close.
Expert Resolve for the iPad is for field workers completing repair work on devices like cash machines. A worker could pull up previous work completed on a machine as well as common problems with the device. Workers can use the camera to take pictures of a broken machine or use FaceTime to contact colleagues if extra help is needed.
Asset Inspect, an iPhone app, uses predictive analytics to suggest why a piece of industrial equipment, like a transformer, isn't working and offer repair advice. The app gives technicians updates on new jobs, weather conditions and work site hazards.
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