A restaurant that anticipates what you want to eat by using artificial intelligence and technology

Personalized internet advertising is the essence of internet advertising, thanks to data. Some algorithms are too specific, which can be disturbing, because they are responsible for choosing the most appropriate audiences for the most specific and potentially successful messages.

Is the offline experience similar? It is neither remote nor new. TV, for example, has been trying for some time to segment ads similar to programmatic advertising, so viewers don’t all see the same ad, but rather the one that corresponds to their interests. With artificial intelligence, this basic concept of personalization could be brought to the real world and into much more practical applications. If a restaurant’s menu is tailored exclusively to your preferences, for example. By using artificial intelligence, it would ensure that it was what was expected to be found.

Raydiant, an American company, already does it. According to Quartz, they will begin implementing their order points at the end of this year, which is when it is currently in evidence. As fast food chains become more common, Raydiant creates on-demand kiosks with a twist.

The camera will scan the consumer, looking at data such as their height, age, gender (but not race or weight) and mood. Wrinkles on the face will be used to determine age. The mood will be established by the expressions and contextual information such as the weather.

With those parameters, the menu options displayed will be tailored to what you’re interested in. AI will take care of it for them, personalizing the offer to the maximum. Consumers will find it unique and personal. It promises to boost sales for restaurants, the creators say.

Taking the future by storm

Although the use of these tools raises questions about privacy (the creators promise to respect it) and responsibility (will fast food restaurants play a role if their customers choose the least healthy options? ), the idea is pretty clear on where things are heading. This is how stores without cashiers operate – scanning people’s purchases isn’t exactly new.

Raydiant explains to Quartz that it will also become increasingly common in retail, but with a marketing focus. As brands scan more and more faces of consumers, they’ll be able to offer them products they think they may be interested in. Ads in stores could, for example, be tailored to the interests of those specific customers. Those faces would be analyzed by AI to offer advertisements, join profiles, and send messages.

Retail has used this idea for years to personalize the shopping experience for its customers. Personalized stores can, for example, point out to vendors who has entered to greet them by name. Now, however, everything is in the hands of artificial intelligence. This is the one that identifies and changes experiences, messages, and impacts. When consumers move through a store, for example, digital signage can change what they see.