Over the years, the influence of () has spread to almost every aspect of the travel and the hospitality industry.
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Thirty percent of hospitality businesses use to augment at least one of their primary sales processes , and most customer personalisation is done using .
The proliferation of in the travel and hospitality industry can be credited to the humongous amount of data being generated today. helps analyse data from obvious sources, brings value in assimilating patterns in image, voice, video, and text, and turns it into meaningful and actionable insights for decision making. Trends, outliers, and patterns are figured out using -based algorithms that help in guiding a travel or hospitality company to make informed decisions. in travel Discounts, schemes, tour packages, and seasons and travellers to target are formulated using this intelligent data combined with behavioural science and social media attribution to know customers behaviour and insights. Let’s take a close look at the -driven application areas in the travel and hospitality industry and the impact on the ensuing business value chain: Bespoke and curated experiences
There are always a few trailblazers who are up for a new challenge and adopt new-age exponential technologies. Many hotel chains have started using an concierge. One great example of an concierge is Hilton World wide’s Connie, the first true -powered concierge bot . Connie stands at two feet high and guests can interact with it during their check-in. Connie is powered by IBM’s Watson and uses the Way Blazer travel database . It can provide succinct information to guests on local attractions, places to visit, etc. Being -driven with self-learning ability, it can learn and adapt and respond to each guest on personalised basis.
In the travel business, Mezi, using with Natural Language Processing technique, provides a personalised experience to business travellers, who usually are strapped for time. It talks about bringing on a concept of bleisure (business+leisure) to address the needs of the workforce. The company’s research shows that 84 percent of business travellers return feeling frustrated, burnt out, and unmotivated. The kind of tedious and monotonous planning that goes into the travel booking could be the reason for it. With and , Mezi collects individual preferences and generates personalised suggestions so that a bespoke and streamlined experience is given and the issues faced are addressed properly.
Intelligent travel search
Increased productivity now begins with the search for the hotel, and sophisticated usage has paved the way for the customer to access more data than ever before. Booking sites like Lola.com provides on-demand travel services and have developed algorithms that can not only instantly connect people to their team of travel agents who find and book flights, hotels, and cars, but have been able to empower their agents with tremendous technology to make research and decisions an easy process. […]