Big brands in the restaurant and hospitality industry are jumping on what’s often known as the “Amazon model.” It’s the new normal, and it’s what your guests expect of every brand they interact with — including yours.
The Amazon model is where the brand becomes so good at anticipating and catering to customer desires that it forces other competitors to either evolve or dissolve. They know what a customer wants when the customer wants it, without the customer needing to think about it. It’s hyper-personal. It’s experience-driven. And it’s what drives your customers’ buying habits.
We at Vēmos have always believed this shift was inevitable for hospitality, and have been working with nightlife venues across the country to help them achieve this level of personalization. The venues we work with know this model isn’t limited to ecommerce, and they aren’t alone. It’s such an impactful model that McDonald’s recently shelled out $300 million for Dynamic Yield, a decision-logic company that essentially puts predictive abilities into McDonald’s drive-thru menus.
This is a big deal.
It’s a big deal for consumers. It’s a big deal for our industry. And it’s a big deal for you. We’re experiencing the biggest shift in what’s expected for hospitality experiences, and it’s important for your longevity to stay on top of this shift.
How McDonald’s is Using Tech to Fuel Customized Experiences
What started this acquisition was that McDonald’s identified they weren’t necessarily losing guests, they were seeing a drop in customer visits. They knew they needed to regain those visits, and the best way to do that is to take a page from online retailers. What online retailers have proven is that inspiring loyalty isn’t about programs and clubs. It simply comes down to catering to a specific individual’s needs. So that’s exactly what McDonald’s sought to bring into their stores.
According to QSR Magazine, “The new menuboards gives McDonald’s the chance to create a more personalized experience by varying outdoor digital drive-thru menu displays to show food based on time of day, weather, current restaurant traffic, and trending menu items. It can instantly suggest and show additional products to a customer’s order based on their current selections.”
