Artificial Intelligence and Wine Industry: 5 examples

Do not think that Artificial Intelligence (AI) is always a dangerous thing, and that you will never use it: it is already present, for example, in the camera of your new smartphone or in video games.

Artificial Intelligence all around us

Furthermore, the streaming platforms such as Netflix, the advanced diagnostic systems, the prediction systems supplied with the assisted cars, and especially in the movements of stock market shares.

And of course, in marketing.

The IA is the obvious evolution of Big Data, and uses the huge amount of data coming from sensors, from the web, from cameras, to make decisions like in a game of chess, choosing among all the actions already performed previously or even more evolved, to invent new ones.

5 uses of AI, including in the wine industry

How to use AI in marketing applied to the wine industry? What does digital wine mean? Here are 5 examples of what the future holds.

1 – Fraud prevention

This area has always been examined by automatic systems to identify possible commercial and economic dangers, but in recent years the AI has given a great impetus to actions to prevent fraud and fraud.

Preventing, not discovering, therefore avoiding being cheated, because afterwards it becomes difficult to put things back.

AI software can do this by analyzing commercial contracts, comparing them with typical ones used in uncovered scams, verifying idioms and word combinations.

Insert the contract in the machine of the Artificial Intelligence, turn a knob and wow!, the answer comes out.

2 – Website design

With simple pieces of Java software (the so-called java injection), you can understand how a user interacts with our website.

Which can be simple if you have a few hundred visits, but for a site that makes thousands a day, how do you do it? Here comes the IA, which compares our website and the behavior of our readers with other websites and with other readers, advising the best layout, the best combination of colors, the most suitable font.

3 – Price timeline

What is the most inviting price for our customers? When will they buy at a price, and at what time will they buy another? With dozens of products it is not easy to decide.

Intelligent analysis techniques of buying and selling data can answer this question, using algorithms that bring together customer habits.

4 – Images recognition

About smartphones I have already said, the cameras mounted in modern devices recognize what you are photographing and optimize light, aperture and exposure to make the best photo.

But the recognition of images can also be used to understand if a plant, a vine for example, is producing healthy fruit or not, mounting it on the tractor that you use to do the treatments or directly on you, so you take thousands of photos of ‘ grapes that will then be used to understand if and where some bunches can have problems.

Thanks to geolocation, identifying the problematic cluster exactly, it will be very simple.

5 – Tasting Notes

Who makes the comparison between the tasting notes of their wines, written by tens or hundreds of tasters? With AI this may be possible, taking not only those of professionals in the industry, but especially those that the simple enthusiast or the simple customer leaves in social media and in online sales platforms.

This information can then be used in correspondence with the wine analysis of each vintage and understand not only which wine is liked more, but above all because. And if this is not a problem for those who produce a few tens of thousands of bottles, it certainly acquires importance for those who make hundreds of thousands of them.

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