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At the top of nearly every “trending topics” list for restaurants, and many other industries, is the shift toward embedding artificial intelligence (AI) and machine learning into marketing and customer experience.
Picture this: A tech-centric restaurant sector powered by insights gained from machine learning algorithms. Sounds great, but what would it look like?
Some of the software solutions you’re currently using – think employee scheduling or point of sale (PoS) systems – contain a goldmine of insights that can be used to help run your restaurant like a well-oiled machine.
Adding AI into the mix is not the sci-fi leap that pop culture has led us to imagine – in fact, it is much simpler than that. Essentially, a real-time data platform ingests data provided from a PoS terminal or other employee and customer interfaces and then different models and algorithms are employed to create a deeper understanding of your business performance.
In a nutshell, we’re talking about processing billions of data points, in a matter of milliseconds. Once this information is collected and analyzed, the software works to identify common patterns and trends. These metrics are combined into easily digestible scores and indicators, and then aggregated into a customized dashboard for interpretation and action by management and analysts.
Up to this point, much of the buzz around AI in restaurants tend to focus on three areas: robots, delivery bots, and chatbots. However, for the restaurant industry, there are several areas where the deployment of AI solutions has the potential for exciting innovations:
As these technologies mature, more innovations will filter into each aspect of the customer experience.
As retailers and brands take advantage of internet-enabled technologies and use AI to better track and respond to shopper behaviors and purchasing habits while factoring in broader contextual cues, services will shift from reactive to proactive.
For the quick service restaurant industry, with annual sales totaling $799 billion, AI solutions don’t just bring the potential for new financial success, they can also generate insights that offer concrete competitive advantages.
Akash Mohan is an accomplished AI and Digital Professional with over 17 years of Data Science experience. He is currently Sr. Director, CustomerInsights.AI, Solugenix's Data Science and Artificial Intelligence Center of Excellence. At Solugenix, he leads a team of Data Scientists that is focused on building innovative AI solutions and platforms with strong emphasis on self-service, stateless execution through automation, speed to insight, and lower costs. Akash lives in Campbell, CA with his wife, two children and his dog. In his free time he enjoys mountain biking, cooking and teaching soccer to school kids.