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How AI, data revolutionizing restaurants in 2024

From front-of-house innovations that enrich the customer experience to back-of-house efficiencies that streamline operations, technological advancements are offering a blueprint for success in a highly competitive landscape.

How AI, data revolutionizing restaurants in 2024Photo: Adobe


| by Daniel Hawes — Vice President of Product Design, Givex

The restaurant industry stands on the cusp of a transformative era, fueled by advancements in artificial intelligence and the strategic use of data. According to a 2023 survey by TD Bank, 38% of operators are planning to invest in technology such as a new POS or other in-store tech. With the global service robotics market expected to surge from $32.11 billion in 2022 to $225.56 billion by 2032, according to Polaris Market Research, it's clear that AI is not just a passing trend but a cornerstone of future restaurant operations.

Front-of-house innovations: Enhancing customer engagement
In the front-of-house, AI is set to redefine the dining experience, making it more personalized and efficient. By analyzing customer data through POS platforms that tie in AI-powered tools, restaurant operators can deliver customized recommendations, enhancing customer satisfaction and loyalty.

Furthermore, utilizing AI to analyze POS customer data can help with the creation of loyalty programs, upselling and discounts. Restaurant operators can better design promotions that resonate with their patrons, training staff to upsell based on trends and integrating customized offerings into their loyalty programs.

Another notable FOH advancement is the use of conversational AI, such as voice assistants, to make ordering more natural and interactive — at the drive-thru and via in-restaurant kiosks. This appeals to the growing post-pandemic demand for more tangible, non-app-based experiences. Virtual reality and holographic technology, which promises to transport diners to immersive culinary worlds, further elevates the dining experience beyond traditional expectations.

Back-of-house efficiencies: Streamlining operations
The integration of AI technology, particularly through sophisticated POS systems, has revolutionized how restaurant operators harness data behind the scenes as well. By focusing on key performance indicators like sales trends, labor expenses and guest feedback, operators can make informed decisions that drive revenue and operational efficiency.

From inventory management to predictive analytics for demand forecasting, AI streamlines operations, addressing the immediate needs of restaurant operators. Insights from POS data enable restaurant operators to identify underperforming menu items and make necessary adjustments, for example, considering the availability of local ingredients and prevailing culinary trends.

With many establishments facing labor shortages, AI can automate routine tasks, allowing staff to focus on areas that require human expertise, thus improving employee retention and creating a more skilled workforce.

Moreover, AI-enhanced POS systems are revolutionizing staff scheduling by aligning shifts with customer traffic patterns, reducing job fatigue and minimizing staff turnover. For instance, by analyzing historical sales trends, operators can ensure optimal service during peak hours and efficient resource allocation during slower periods.

As we navigate through 2024, it's evident that AI and data are not just shaping the future of the restaurant industry — they are redefining it. For restaurant operators, the path forward involves embracing these changes, staying adaptable and investing in the technologies that will not only meet consumer demands but also overcome industry challenges. In doing so, they will not only survive but thrive in the evolving restaurant industry landscape.

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Givex

211 North Ervay // Suite #1300 // Dallas, TX // 75201 // 1-800-962-4935


Givex offers omnichannel POS, gift card, loyalty and stored value ticketing solutions to drive sales and help our clients make better-informed business decisions.

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Daniel Hawes

Dan is a writer, producer, academic researcher, and technology entrepreneur. His portfolio encompasses an array of creative and technical works: he has developed and produced twelve television series, nine films, over fifty games, and pioneered applications in Artificial Intelligence and Virtual Reality. Dan’s work marries the worlds of technology, design, and academic research. As an adjunct research professor in the School of Information Technology at Carleton University, he explores the use of advanced technologies to optimize cognition within immersive learning environments. 

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