Lumo
Powerful data visualisation for predictive analytics startup & travel app
Making air travel smarter
Flight delays cost the global economy more than $60B annually in increased operating costs and lost productivity. Lumo’s predictive analytics give businesses and travelers the power to proactively manage and minimize the impact of flight disruptions.
Lumo's unique "delay index" predictive technology provides a powerful tool to improve travel management, but they needed a smart user interface and fluid user experience to make those insights understandable and accessible to their customers.
As this was a brand new product, we started off with a comprehensive process of info architecture and user flows to define the app's complex data structures and user goals. We then meticulously explored the user experience for each screen and flow in low-fidelity wireframes. Finally, complete UI designs were built for all processes, variations, and responsive breakpoints, ensuring accuracy in product development.
Diverse data visualisation
Lumo's flagship Navigator business app required an extensive array of data types and visualisations. From flight and itinerary data, weather, delay history & prediction, airports, travelers, flight delay risk/score, mapping, charts & graphs, searching & filtering, flight tracking, and more. I created a robust and consistent design language and typography treatments that make it easy to recognise and interact with each distinct data type.
See more at: http://benek.nz/work/lumo
