4 Ways In-Location Analytics Improve the Restaurant Experience
Utilizing AI to create high-impact experiences for customers
Thousands of restaurants across the country have already implemented digital signage in their stores. Replacing cardboard cycle menus or plastic static menus with digital displays has not only improved efficiency and sustainability for the restaurant industry, but they have also kept customers more engaged, increasing the likelihood of a repeat purchase.
But once a restaurant has its network of digital menus on display, are there other advantages they take advantage of with Raydiant?
Raydiant enables restaurants to manage in-store business operations in real-time, all entirely remotely. They can easily manage menu items and prices, track inventory, and schedule campaigns and promotions at scale. But as digital signage technology matures, restaurants are discovering a need to measure the performance of their on-screen content.
Getting to know your customers should be at the core of any business. The best way to do that is to implement in-location analytics that drives results. Understanding customer likes and dislikes is essential, but how customers decide, buy, and interact with your restaurant will go a long way to creating high-impact experiences at every one of your locations.
There are four main elements when using AI to improve the restaurant experience for your customers.
Raydiant’s experience management platform allows you to manage content on the fly. Powered by AI, restaurant owners and managers seamlessly control content across multiple screens and locations, scheduled to run at any time or frequency. Simple to use but exceptionally powerful, customers can create eye-catching content with thousands of design templates, all ready to run on any screen across any location. Create menus that aren’t just dynamic; make them thoughtful and engaging.
Content Delivery & Audience Analysis
Understanding what your customers want is critical to the items you purchase for your restaurant. After deploying content, restaurants can quickly gather audience insights. The anonymous AI measurement technology analyzes viewers in real-time, providing information such as age, gender, mood, attention time, and more. You’ll get the answers to questions like: “How well are my promotions performing?” “Are the specials from last week getting the attention they deserve?” Planning for what your customers want will no longer be a guessing game with Raydiant.
Content Reporting & Analysis
Display aggregated audience insights in the dashboard visualization tool DeepSight Data Studio. The dashboard enables advertisers to understand how their on-premise content is performing, which content receives the most attention, and by which audience persona groups. For additional analysis, merge POS data with audience analytics and measure the performance of content against sales KPIs.
Engaging with customers at the point of purchase enables restaurants to optimize the customer experience. By refining your target audience and setting rules in the CMS for dynamic triggering, you can create a type of audience segmentation that fosters higher engagement. This has already proven to increase purchase likelihood and enable the delivery of highly targeted promotional campaigns. As AI technology progresses, those utilizing the Raydiant platform can use the latest face analysis software to allow for targeted dynamic content to increase conversion and, most importantly, sales.
This reality is not far off, with some companies even utilizing aspects of this AI today. What we know thus far, though, is that we’ve only scratched the surface of how deep we can venture into AI and the restaurant industry.
To learn more, book a demo with us.