How Hotels Can Re-envision Front Desk Upselling to Improve the Guest Experience – By Jason G. Bryant Nor1 Founder and CEO

A night of playing board games has become a visit to the escape room, going to the park with the kids has become a trip to the climbing gym, and beers out with friends has turned into themed tours of local pubs, notes Forbes. Though millennials’ insatiable desire to do things rather than collect things has led the surge in the experience economy, the desire for experiences certainly isn’t limited to just one generation.

Why Don’t Luxury Hotel Brands Truly Differentiate? Have They Run out of USPs? – By Jochen Ehrhardt

Are there any truly differentiating luxury hotel brands? Let’s face it, the vast majority of 'luxury' hotels still fall into the category of 'traditional' luxury. There are numerous hospitality brands these days competing in the luxury realm and there is no real definition for, and distinction between, what is luxury vs. for example, upscale.

How To Move Your Rooms Toward Your Guest (Instead of Moving Your Guest Toward Your Rooms) – By Jason G. Bryant Nor1 Founder and CEO

When those in the hotel industry talk about selling hotel rooms, the conversation frequently turns to a diatribe on direct bookings – the great need for them, how to get them, how much money to spend on them, and how to keep them. If this industry is to evolve, the direct-booking debate also must change.

What Hotels Can Learn From Delta Airlines About Personalized Guest Engagement – By Doug Kennedy

Beyond the nifty tech-based personalization apps and customized travel perks, what’s truly amazing about Delta is that during every encounter with an airline staff member they always remember to thank me for my business in a sincere and authentic way. It seems that a lot of brands are attempting this, but the 'thank’s for your loyalty sir' I get elsewhere is usually disingenuous, feels scripted, and seems insincere.

Why Machine Learning Works for the Hotel Industry – By Jason G. Bryant Nor1 Founder and CEO

Amazon frequently receives credit for successfully employing machine learning to engage consumers and drive sales with its well-known recommendation engine, which generates 35% of the company’s revenue, according to McKinsey. However, competitor Walmart has a surprising amount of machine learning activity going on behind the scenes.