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Artificial Intelligence With Hands-on Consumer Requirements. 

Very soon, the day would arrive where humans would surely engage themselves to learn from home-bots for cooking ideas. Today, Artificial Intelligence has expanded in many ways that we could least expect it to be. According to IBM news earlier this year – it had a surprising element by setting foot in the food sector – the finest chef, McCormick, had his remarks turn heads when he said “explore flavour territories more quickly and efficiently using AI to learn and predict new flavour combinations

It is intriguing how new flavours experimented from the data are well calibrated by Artificial Intelligence. Pretty accurate and earthy, when you taste the flavours blended by the food industry that reach out to prepare food with these flavours. This is helping new products make the sound in the market and trend a long way.

The problem with AI is, it just goes by the data analysis and not by the human preferences to ordain the flavours. This partnership has evolved with the advancement in technology, leading to disrupt the food industry by helping develop new products and respond to consumer preferences. The aim is to offer a new improved nutritious flavour.

More and more food companies are embracing digitization and becoming data-driven,” said Bernard Lahousse, co-founder of food-pairing, a start-up with offices in Belgium and New York. These offices develop digital food “maps” and a flowchart to further recommend the food and drink combination. “Lahousse is the largest food database in the world” that works with both domains, the human preferences and data analysis, to analyse the consumer and data relationship.

The AI food ventures nearly received a funding of $16.9, billion in 2018, according to the sources from the investment platform, Ag Tech Funder. Few words from an investor had a voice of reason, “to digitize the existing data”.
The spotlight isn’t just the customer preferences as food is highly cultural and personal, to stabilize the ever-growing need to experiment the flavours of the food we would have to map the consumer preferences with the data analysis.

Besides, “Artificial Intelligence could give us the ability to utilize vast datasets of detailed agricultural information for the improvement of our food crops, faster than ever before,” said John de la Parra, head of MIT’s Open Agriculture Initiative. All the more a good reason or rhyme why the food merchants/industries should embrace artificial intelligence.

Since the food supply chain is a long process, it is not easy to incorporate the changes and the innovations that could revolutionize the consumer strategy for consuming food. The data thus needs to be segmented into demographic groups to help companies develop new products that match the preferences of their target audience as people with different cultures and customs prefer different tastes on the same traditional lines.


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