by Abdulrahman Jogbojogbo
The premise of a chatbot is simple – automate communication and act as a window to access a service.
In the hospitality industry, one which is built around making the customer alpha, communication and information transactions must be smart, swift, insightful and analysable. Chatbots are hence the perfect tool for this type of communication and service provision. They live in messaging apps where today’s internet user spends a significant portion of his time, they are also cheap in the long run and can provide deep insights into customer preferences that can greatly improve offerings for the the customer, the alpha.
In 2017, the key players are still trying to figure out how to build the perfect chatbot – smart, capable of understanding complex semantics, and conversing with the customer as an experienced service rep would. Today’s chatbots, limited as they are by the available underlying technology have been deployed by several players in the hospitality industry – flight providers, hotels and more.
Hotels.ng, a Nigerian OTA looks at existing and projected applications of chatbots and attempts to estimate the net effect that they might have on the entire industry in years to come.
Bookings and reservations
Brands that require that bookings be made – flights, hotels, tour guides and more are already rolling out functional chatbots. Using these bots is convenient, simple and gives an air of chatting with a friend. Hipmunk recently upgraded their chatbot to allow for group planning and chats on their Facebook Messanger based platform. It’s easy to see how this can be adopted for OTAs providing group tours.
Expedia and Kayak are some other early adopters of chatbots for the purpose of making reservations.
Learn user preferences
By silently sitting in the background, and potentially collecting information such as correlation between geolocation and time versus brand-specific actions carried out, smart deductions can be made as to the user’s behavioural tendencies and preferences. Also, past responses, questions and queries that the customer made can be automatically processed to give actionable insights into the customer. Brands can as a result offer personalised and customised services to the customer and increase the chances of delighting him and spending less to acquire each dollar from him than they normally would.
Customers can also be retargeted in the future with higher precisions. Brands are able to engineer a greater correlation between the time of the customer’s need, and the content and timing of chats sent with a marketing intent.
Upselling to clients
With chatbots, brands can more easily induce customers to make more expensive purchases, upgrades, and add-ons thereby increasing the chances of squeezing more value out of the client without appearing over enthusiastic. Products and services can be upsold or cross-sold through casual suggestions to the client.
Top-of-mind awareness (TOMA)
The modern day internet user spends more time on messaging apps than they do on social media. In the fight for users’ eyeballs, chatbots which mostly live in messaging apps therefore provide very great opportunities for subtle top-of-mind awareness campaigns. TOMA is defined as awareness campaigns aimed at making a brand the first a customer thinks of when asked an unprompted question about a brand’s category.
Cost effective customer support
Eventually, AI driven chatbots become smarter through learning. When they become sufficiently smart and are able to handle complex queries, brands spend less on the supervision of chats, customer support, and can dedicate saved funds into other segments of the brand.
Challenges & Controversies
As with most novel technologies, chatbots too have controversies and challenges tied to their successful implementation. A few pressing ones are discussed below:
- Threat to existing jobs: As in all forms of automation, job shifts occur and jobs designing and managing the automation always displace the jobs that previously ran the processes. Markets will always demand for more reliable, cost effective, and faster processes making these threats to jobs an occurrence that can be managed but not eliminated.
- Sharecropping: To tap into what makes chatbots powerful for brands – large audiences, they have to be sharecropped on platforms that host the most people thereby expanding the potential reach and influence of the brand. Facebook, Wechat, and Amazon Echo are a few popular platforms that host numerous chatbots. They are popular because people want to interact with brands on platforms where they already interact with friends. Understandably, this hands over reins of control to the messaging and voice AI giants, but it’s a reasonable compromise that should be made.
- Privacy concerns: Chatbots have the potential to offer so much personalised information and services that they might come off as intrusive. Care must therefore be made while designing them to handle information transactions at levels of personalisation that are at par with the target audience’s temperament toward AI. Helpful can easily become creepy.
- High cost of build: Chatbots can be expensive to build. In the long run however, they are almost always smart investments as they bring down operational costs, open up new opportunities for brands and help generate more revenue.
- Lack of empathy: Chatbots can come off as stiff or robotic. While this is not a problem for many, a few people are put off by it. Most primitive chatbots work like a search engine that search for some keywords that then trigger predetermined responses. AI driven chatbots are however more capable of handling more complex queries and conversing as a human would.
Conclusion
Chatbots are simple, ubiquitous, and highly effective. AI driven chatbots also become better and smarter with use so while the wide adoption by hospitality brands will create job shifts, it will also create new opportunities that will allow for better personalisation of experiences for the customer.
In one line, the hospitality industry will be benefit greatly from the adoption of chatbots.
