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Whether you're a seasoned road warrior or the occasional traveler, flight delays can get in the way of a good trip. At Lumo, we make sure that our flight delay predictions keep you a step ahead of delays, and our real-time updates keep you updated as events unfold.
Tags: AI, forecasting, passenger experience
As travel ramps back up, and past data is not a great indication of the future, workforce planning is tougher than it used to be. Models that simply use averages of past data to predict future staffing needs no longer work. That's where Lumo comes in: we've created Lumo Foresight, an AI-powered engine that captures trends and predicted disruptions to accurately predict your future staffing needs days to weeks out, reducing over- and under-staffing and helping maintain high customer service levels in these volatile times.
Tags: forecast, AI, workforce management
It's now easier for Concur and TripIt users to experience Lumo! Our browser extension for Concur's booking tool now allows you to view Lumo's predictions, travel advisories, COVID stats, and more at the time of booking, and our TripIt integration now syncs itineraries with TripIt so you stay informed about possible disruptions during your trip. At just a couple of dollars a month per traveler, that's less than your travelers would spend on coffee at the airport.
Tags: traveler wellness, navigator, Concur, TripIt
At the core of what we do is synthesizing complex data sets, which means we rely on high-quality data to drive our business. OAG is an industry leader in all things airline-data related and their historical, real-time, schedule, and connection time data are key inputs to our algorithms.
Tags: data
Acendas Travel, a Kansas City based TMC, and BCD affiliate, recently started using Lumo Navigator in their Mission Control to help proactively plan for delays and manage staffing requirements in anticipation of disruptions. Lumo integrates with Acendas' systems through their APIs to automatically track all their travelers' flights, and flags potential disruptions hours and days before departure.
