Thus “cooking with data” in Guatemala

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Thus “cooking with data” in Guatemala

If a drink or a food product has high demand in a region of the country, there is a system that captures data in real time through artificial intelligence to supply those areas more frequently with those specific goods. This is an example of what the AI ​​is already doing in Guatemala, according to free press in visits to two food companies.

“That not only allows us to be more accurate in terms of the proposals that we take to our clients,” said a Nestlé collaborator during the tour made by a team of Free press by the facilities. The mechanism they use in Nestlé, said the specialist, consists of Analyze large volumes of information and generate recommendations on the different customer profiles in various regions of Guatemala. From these data, it seeks to boost the sale of certain products in specific sectors.

In Guatemala, food sector companies can determine specific needs of its customers and the type of products that they require, in addition to their quality. All this, thanks to the use of artificial intelligence. In the case of multinversion corporation, which Implement improvements in the recipes of your productive processes to improve quality in your bakery.

Currently, artificial intelligence has greatly impacted the food industry, said Julio Pallavicini, executive director of EY, who mentioned that the processes used in this type of industries have been improved from the use of these tools. Production optimization and quality improvement These are some examples that Pallavicini pointed out from the arrival of artificial intelligence.

In CMI, AI is used to improve information in quality control processes. (Free press photo: CMI courtesy)

“Quality control is a very important point, since this, in turn, impacts the food security of all consumers,” said the director of EY, who added that companies that use artificial intelligence to offer personalized experiences to their consumers do so as part of a competition strategy, in order to recommend products based on their preferences and purchasing behaviors.

In Nestlé confirm that the models created from algorithms seek to analyze large volumes of information collected massively, instead of processing it in Excel tables. For its part, CMI uses internal databases with its processes and procedures to improve the quality of its products.

Prediction of needs

February 25, 2025, The Artificial Intelligence Data Analysis Center (Cadia) was inaugurated in Nestlé, which will seek to optimize the marketing and distribution processes of brand products in the country. The investment in this center was US $ 5 million. According to a company collaborator, from artificial intelligence forecasts, customer segmentations and sales opportunities can be made.

“We understand the consumer profile to adapt our products more in line with what the market is requesting,” concluded Nestlé’s collaborator.

For his part, Julio Pallavicini, executive director of EY, said that demand prediction is a point of utmost importance that is achieved through artificial intelligence tools. For him, through these technologies, companies can offer more personalized experiences to consumers, only from data analysis: “Recommendations, offers and product content can be adapted according to the individual behavior of customers.”

Artificial intelligence helps to streamline processes within the food industry. (PHOTO PRESS FREE: Juan Diego González).

AI and higher quality

Nestlé is not the only company in Guatemala that is leveraging this type of tools. CMI is another example of artificial intelligence implementation in the food industry. According to Lucas Martínez Paz, senior director of Technology and Corporate Transformation of CMI, they have an engine that allows them to locate errors in the cooking and bread cooking process.

Martínez indicated that customers who use CMI products They can consult, by means of that engine, if they performed the procedure incorrectly. “The same engine has all our formulas and experience loaded necessary to be able to respond with the correct procedure to reach the desired result, ”said Martínez.

According to the manager, that procedure Before it involved high costs due to the amount of necessary personnel; While now, artificial intelligence is generating greater productivity and reduction in analysis times.

For his part, Julio Pallavicini, executive director of EY, said that artificial intelligence Improves the processing rate of traditional business lines, especially those incorporated into production. “The way it accelerates brings benefits, carrying tasks that previously took weeks or months to a few minutes or seconds,” emphasized the director of EY.

In CMI they claim to have experienced an improvement to customer service from the AI ​​that comes from the creation of a product. (PHOTO FREE PRESS: Courtesy of CMI)

Better nutrition and customer service

Pallavicini argued that The analysis of consumer trends helps companies to know customer preferences And, with this, to promote the development of new products. “This allows companies to adapt faster to changes in market demands,” said the director of EY.

For his part, the Nestlé collaborator, an expert in analytics, mentioned that, based on the analysis collected by artificial intelligence, they are not only able to identify products with higher quality, but also ingredients that are liked by clients. “Now that we are also turning to artificial intelligence issues, eventually this data we are collecting will also help us build a better product portfolio,” the collaborator deepened.

Martínez also assured that, for the final consumer, artificial intelligence can be useful to know the information of the products offered. He mentioned that, from the company, they could include data such as food safety, as well as the manufacturing and production process of a specific product, so that the consumer can consult what he needs to know before acquiring it.

On the other hand, Martínez indicated that they have also incorporated artificial intelligence in product order management. “To take orders in WhatsApp, we involve artificial intelligence so that it begins to interact with the consumer as if it were a person, telling the products, prices and promotions. Everything as if it were a person,” he explained. This, he added, increases the level of sales and improves customer service.

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