Consumers don’t consider technology to be an eliminator of jobs but rather a means of improving convenience – and restaurants are investing in more of such customer-facing technology solutions this year. These were key tech-related takeaways from the National Restaurant Association’s latest state-of-the-industry report. When it comes to customer-facing tech, kiosks and other self-service technology still pay dividends. Their biggest benefit may be speed – by visibly reducing congestion and automating orders, they expedite the order process and shorten lines – but this technology is also winning consumers over for its ability to customize. The proof is in the payment: The convenience that kiosks provide can lead guests to spend 15 to 20 percent more per order, according to Pymts.com. #restauranttech
What if running a profitable restaurant became less about analyzing databases and spreadsheets and more about following AI-generated directions? That’s increasingly becoming a reality for some restaurants. In a recent roundup from Modern Restaurant Management about major disruptions to expect in the coming decade, AI applications were among the major changes industry insiders expect. David Bloom, chief development and operations officer for Capriotti’s, sees increasing potential for video to work hand-in-hand with AI – using facial recognition to identify guests and connect them with loyalty programs, reducing theft by video monitoring, and improving employee performance by monitoring their actions and providing on-the-spot upselling and service advice. #restauranttech
As labor costs escalate, how are you ensuring you have the right number of employees scheduled at the right times? More brands are adopting artificial intelligence-based programs to help with scheduling. Domino’s, for one, has been testing an AI algorithm to help ensure they are using the most efficient number of staff hours in their stores, Restaurant Dive reports. As major cities enact predictive scheduling laws designed to ensure a fair work week for employees – Widget Brain reports that New York, San Francisco and Seattle are among them – finding ways to use AI to forecast labor demand, and then build and fill schedules, can help operators not only maximize labor expenditures but also comply with the law.