Jan

Easy Yet Untapped Revenue Channel for Hotels Worldwide

There are many travelers looking for hotels and places to stay on social web. Every day.

Take Twitter, for example:

 

Or this:



People are genuinely looking for help. Surprisingly though only few are getting it. According to nmodes data less than 12% of Twitter travel  requests are being answered. The rest - lost opportunities for hotels and businesses in the hospitality industry.  

 And how big is this opportunity anyway?

nmodes Twitter data shows that every 15 min somebody expresses intent of going to, or visiting New York. Most of these travelers need a place to stay there.

Every 33 min - intent of traveling to London.

Every 54 min - intent of traveling to Paris.

We started Twitter recommendation service @nmodesHelps and were encouranged by the results. 72% of those that received our travel recommendations reacted by thanking us and expressing their gratitude. This reinforced our assumption that people seek travel advice on Twitter, accept it as an instant value, and are prepared to act upon it.

The hotels that are ready to move fast to monetize this opportunity will benefit the most.

 

Interested in reading more? Check out our other blogs:

Travel Chatbots Update

                                         

These are early days for travel bots. They mostly specialize in customer service, customer information and sometimes online booking. Advanced AI technology is good and getting better by the day, but it does not replace a person. And that's unlikely to change for a while.

In order to create a positive and enjoyable experience it is imperative to have a clear understanding of what bots do well and what they don’t.

One area where they have clear advantage over humans is response speed. Using bots makes your travel business scalable. Bot can handle mutlple user conversations simultaneously and replies instantly.

The part of the bot technology that needs significant improvement is understanding of the meaning of what customer said. The solution is to take the user off the bot when this stage of the converastion is reached. One of the popular techniques is to redirect the user from bot to the website when the questions get complicated. The majority of users are at ease with website navigation where they find themselves in the familiar environment.

This approach allows to utilize the scalability of the chatbot while maintaining the high level of customer service.

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The End of Digital Monitoring Paradigm

                                 

Digital industry is changing rapidly.

For the last decade analysis of social chatter and capture of consumer sentiment was considered the cutting edge of the marketing strategy.  In these early days of the new era of digital information businesses were told to listen to what market is saying about them. They were educated on the importance of media monitoring and the advantages it creates for strategic growth.

This picture has become outdated.

Listening to Big Data, in all its aspects and forms, is no longer enough. After you successfully listened and understood what customer said the next natural step would be to act, or respond. And so the digital domain is now spreading to include responses, with a host of innovative technological solutions reshaping the field rapidly.  Advances in artificial intelligence in particular create disruptive scalable opportunities in the space traditionally known for its slow manual progression.

Facebook was among the firstto enter the market, introducing bots into the process of connecting users with brands. Then there was Microsoft's turn.

Following these developments bots became the hottest trend in Silicon Valley in 2016.

nmodes fits seamlessly into this new world order. We deliver AI solutions that power business sales process. Our listening solution accurately monitors and captures real-time needs and interests of individual customers within the defined audience. And our Intelligent Assistant solution brings scalability to responses without compromising on quality.  

 

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