How artificial intelligence affects B2B actions in the food industry

Integration of machine learning and Artificial Intelligence Customer-centric big data (AI) has evolved into industries such as food and beverage and retail.

The Covid-19 pandemic has spurred adoption digitization and artificial intelligence. Which has prompted policy makers to carefully consider the responsible use of this technology. While protecting consumers and ensuring fair markets.

Using generative intelligence the creation of synthetic data is gaining momentum, reducing the need for real-world data. For efficient training of machine learning models.

According to the consulting company Gartner, by 2024, 60% of the data used for artificial intelligence will be synthetic, which will enable the simulation of reality and future scenarios while reduces AI riskswhich is a significant increase compared to 1% in 2021.

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Artificial intelligence in B2B

In the area B2B retailerthe adoption of artificial intelligence simplifies operational workflows, improves risk management and improves the overall customer experience.

Natural language generation (NLG) simplifies data analysis for retailers, enabling more informed decisions.

However, the implementation of this technology in retail also presents challenges leading to possible discriminatory results and incorrect predictions, such as:

• Biased decision-making
• Data quality issues may occur

Policymakers are actively engaged in discussions to ensure responsible use of AI that promotes transparency, fairness and consumer protection.

Colombia has opened the first supermarket with artificial intelligence in Latin America. Photo: Freepik

The impact of artificial intelligence and the food industry

Last May, the first supermarket with artificial intelligence started operating in Colombia, which currently serves almost a thousand people. It provides a cashless shopping experience, no queues, no customer service staff and available 24/7.

To log in and make purchases, it is mandatory to top up the Konyu app wallet. Because it is through this that the user can open the door of the place. If a person does not have a balance and tries to log in, the user may be blocked.

This technology does not seek to eliminate jobs, but to provide people with the ability to have a 24-hour convenience store nearby, preventing residents from leaving their housing unit late at night.

It should be noted that this model implemented by Konya was inspired by the success of Amazon Go in Seattle (United States) in 2018, a fully automated store with an innovative shopping experience Just Walk Out.


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