AI-powered computer vision
Some QSRs have started using vision AI, also known as machine vision, in the back-of-house to monitor food waste, customer foot traffic, quality and safety measures, all in an effort to reduce costs and streamline operations.
In the future, restaurants can use computer vision to monitor order preparation, alerting employees to errors in real time. This technology can even help train new employees, walking them through the cooking and expo process.
Computer vision in action: One sustainable solutions provider is working with retailers, restaurants and hospitality companies to reduce food waste through digital scales and computer vision. The technology tracks how and where food is being wasted so employees can shift their processes, reducing costs for restaurants in the long run.
Top three strategies for successful AI implementation in the restaurant industry
While every quick-service restaurant chain has unique priorities, there are three approaches to AI investments that can meaningfully reduce employee turnover, improve employee experience and prepare QSRs for an automated future.
1. Start with your employees
Often, technology investments are led by customer needs while employee needs are left as a second-choice consideration. Yet, customers feel the brunt of employee shortages, through slower service and incorrect orders.
By focusing on very specific use cases to support tasks employees consider burdensome, back-end operations technology and AI ordering software can change the focus of employee work from intensive and repetitive labor to stellar customer interactions and quality assessment. Small, employee-led digital innovations can improve customer experience just as much as customer-led digital innovation.
2. Keep it simple and scalable
The key to sustainable digital transformation is scalable solutions. Often, these solutions may not be cutting-edge but are, in fact, long overdue. For restaurant chains looking to build a digital foundation, the first step is modernizing POS systems, omnichannel digital touchpoints including apps, .com and menu boards, and back-end operations.
3. Implement change management
At the same time, automated customer insights or robotic kitchen assistants won’t provide maximum ROI. Positioning technology in a way that enables employees to do their jobs more efficiently and with a sense of purpose is mandatory for a successful deployment. Employees must feel that technology is a tool provided to them by employers to help them deliver better customer service, rather than a technology that’s replacing them.
The future of AI in the restaurant industry
As food and dining brands invest in artificial intelligence, the players that prioritize a solid data foundation and tie in new technology to a holistic customer and employee experience will experience the best ROI on new investments.
Reach out to Publicis Sapient experts below to map out your restaurant’s future growth using artificial intelligence.