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AI in Food Marketing from Personalized Recommendations to Predictive Analytics: Comparing Traditional Advertising Techniques with AI-Driven Strategies

Khamoushi, Elham

arXiv.org Artificial Intelligence

Artificial Intelligence (AI) has revolutionized food marketing by providing advanced techniques for personalized recommendations, consumer behavior prediction, and campaign optimization. This paper explores the shift from traditional advertising methods, such as TV, radio, and print, to AI-driven strategies. Traditional approaches were successful in building brand awareness but lacked the level of personalization that modern consumers demand. AI leverages data from consumer purchase histories, browsing behaviors, and social media activity to create highly tailored marketing campaigns. These strategies allow for more accurate product recommendations, prediction of consumer needs, and ultimately improve customer satisfaction and user experience. AI enhances marketing efforts by automating labor-intensive processes, leading to greater efficiency and cost savings. It also enables the continuous adaptation of marketing messages, ensuring they remain relevant and engaging over time. While AI presents significant benefits in terms of personalization and efficiency, it also comes with challenges, particularly the substantial investment required for technology and skilled expertise. This paper compares the strengths and weaknesses of traditional and AI-driven food marketing techniques, offering valuable insights into how marketers can leverage AI to create more effective and targeted marketing strategies in the evolving digital landscape.


How is technology reshaping the traditional marketing

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The marketing world had evolved rapidly, leaving behind days when the advertisement was restricted to papers only. With new technologies being introduced daily, it is becoming tougher to stand out among the competition. This is because technology today has made it quite easier to find new products over the internet, ultimately increasing the throat-cutting competition for exposure--those who stay on top of their marketing game bury down their competitors in the dust. In this article, we'll discuss how technology is redefining the world of marketing today, so let's dive into that. As of today, we all are familiar with the term Augmented reality (AR).


Intelligent Agents, Blended AI Factor Into A 'Year Of Reckoning'

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This article is part of CMO.com's December series about 2018 trends, predictions, and new opportunities. Despite a vibrant economy, individual companies will confront unceasing changes in technology and inflated consumer expectations. That's why Forrester Research is calling 2018 a "year of reckoning." It sees both as an existential threat that makes the fate of individual companies uncertain. This environment has prompted a radical shift in what is traditionally meant by marketing; some even view the traditional role of chief marketing officer as outmoded.


How Artificial Intelligence Affects Digital Marketing?

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Life has become hard without "Artificial Intelligence" (AI) these days. AI has changed our working culture rapidly. To be more precise, AI has taken over human brains in all the fields in this digitalized world. John McCarthy is known as the "Father of Artificial Intelligence". AI is capable of performing tasks like learning, visual perception, recognizing speech, translating languages, decision making.


Why You Should Introduce Machine Learning Into Your Marketing Now

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Cater to the "market of the one" -- this has always been the holy grail of marketing. Brands and marketers have always strived to understand individual consumer necessities and tried to cater to them directly through an open dialog, at scale. While this was long a pipe-dream, with the advent of deep neural networks, the current crop of machine learning algorithms, and advancements in artificial intelligence (AI) research, the age-old spray and pray marketing is coming to an end. Now, with machine learning, brands have a good shot of being truly coherent in their narrative and engaging consumers with a consistent voice, tailored to individuals across omnichannel end-points. To break it down, let's take a concrete example of advertising a kid's video game, such as "Plants vs. Zombies -- Garden Warfare 2" and compare the two marketing options. In the marketing world, the best course of action for such a game would involve defining the genre of the game, the intended audience behavior and the market segment to advertise.