To assist. Not replace.
Finding new opportunities for Growth in Travel
Leveraging data to reignite the industry
Leveraging data to reignite the industry
Travel is one of the most economically powerful business sectors. A thriving travel industry can transform the wealth of an entire nation. This has been painfully witnessed in recent years as the reverse has happened; previously thriving communities were devastated by the lack of tourist footfall during Covid-19 lockdowns and travel bans.
As the industry begins to look forwards again, the ability to understand customer behaviours, to more easily predict the impact of global trends and threats, which AI provides, will be a powerful tool in the re-emergence of travel and the regeneration of economies.
Travel used to be simple: holidaymakers booked en masse through agents, arrived on the same planes, went to the same hotels and came and went on the same dates. The modern traveller, however, is an individual, with their own travel agendas and informed by their own research.
For hotels, destination cities and airlines, this introduces any number of unknowns: which hotels will suffer from over-demand, which venues will need extra public transport services or security? What will the average tourist spend during their stay?
The traditional pushback by opponents of AI in travel is that, as a service industry, travel is fundamentally human. After all, Artificial intelligence is unable to provide a warm smile while it pours your morning coffee, or fetch fresh towels for you at the pool.
But such objections misunderstand the true value of AI: this comes in fact from working alongside humans, and allowing them to do the tasks that they excel at; customer service, emotional intelligence, personal recommendations etc. Artificial Intelligence works away at mundane, repetitive functions, or identifies areas where inefficiencies occur.
Using AI does save businesses time and money, but rarely does it do so sustainably by replacing people. Rather, it does so by reducing human error and optimising process-oriented tasks quickly, efficiently and around the clock – intelligent DPA. This facilitates for self-learning and self-improving tasks, to free up workforce time, and continually optimise the repetitive but valuable processes.
Operational costs are the biggest challenge to the success of travel businesses. On the face of it, it can be difficult to scale profitably as with every extra passenger or guest, your input costs rise almost at the same rate.
This is where providing Quantum AI helps. By mining all of your business systems, and making connections between datasets that are not immediately evident, AI is able to uncover opportunities for cost-saving, reduce errors, and ensure historic challenges are avoided in future.
AI can be used to forecast demand, weather patterns and literally hundreds of other datasets within and outside the business to ensure that every key decision is backed up with credible data. Forecasting how and when is the best time to move the passengers or cargo, for example, can optimise efficiencies with bookings, fuel, energy, quieter routes and so on that can make the difference.
Man cannot discover new oceans unless he has the courage to lose sight of the shore.
– André Gide, Author
The future in this industry is twofold in the short to medium term. With increasing need for the organisation and management of resorts and hotels, we see the need for Quantum AI engines to compliment the existing human staff.
In the Tourism business, automation is key to raise profits, so our development in the robotics will be available to take away the mundane tasks; developed as augmented reality icons to assist and alongside Quantum AI engines that keep the reporting to the staff and back office that’s so critical in providing and fulfilling the end user experience.
Manage the routine tasks by implementing this and leaving it to run for monitoring and re-checking.
A series of capabilities to support people, and complete projects and tasks quickly and accurately.
Allows challenging, mundane, and repetitive tasks to be fully automated, and self-improving, unsupervised.