Gentle Diagnostics
Dine-In
Tech
Technology to improve the dining experience through guest insights is on the rise.
What's Happening
What is the Dine-In Tech trend?
Dine-In Tech: The restaurant and QSR industries are bouncing back from the Pandemic by better gathering insights on what consumers care about. Technologies dedicated to listening to and implementing suggestions for improving the dining experience are increasing in popularity. This can be done by gathering data on ordering platforms, surveys, and more.
Insight
The consumer insight behind the Dine-In Tech trend
Now that restrictions have been lifted in most parts of the world, the return to dining is in full force. That said, consumer attitudes toward in-person experiences have changed dramatically over the Pandemic, meaning the experiences themselves must evolve in turn. Further to that, consumer expectations of in-person experiences vary greatly depending on their political beliefs, risk tolerance, enthusiasm, etc. Thus, more insight and technology-enabled personalization are necessary.
Trend themes
Themes within the Dine-In Tech trend
Three behaviours holding the trend togetherInsights-driven dining
Using data to gather insights and personalize the dining experience based on customer preferences.
Contactless dining
Adopting digital technology to enable a safe and seamless dining experience through contactless ordering, payment, and dine-in features.
Automated review response systems
Using AI-powered systems to automatically generate responses to customer reviews, both positive and negative, thereby saving time and money.
Industry implications
What the Dine-In Tech trend means for industry
Where the trend changes the playbookHospitality industry
Utilizing technology to continue to evolve the restaurant and QSR industry in order to improve customer experience.
Software and technology industry
Developing innovative tools for restaurants and hospitality businesses to improve operations and customer satisfaction.
Artificial intelligence industry
Automating review response systems and customer insights gathering to create more efficient and personalized dining experiences.
Workshop question
How could you better bridge the gap between your various guests' often opposing needs?
Trend signals
Trend signals for Dine-In Tech
Trend score 3.9 out of 10, from popularity 61%, activity 44%, freshness 13%.
- Gen Alpha
- Gen Z
- Millennial
- Gen X
- Boomer (not a primary audience)
Evidence
Examples of the Dine-In Tech trend
6 featured examples from Feb 8, 2021 to Nov 22, 2022Contactless Dine-In Features
Panera Bread Has Announced A New Digital Dining Feature
The restaurant industry can leverage contactless dine-in features, digitally-enabled cafes, and in-app food ordering to adapt to the new normal of post-pandemic dining, increase s…
Insights-Focused Dining Menu Apps
The 'Menura' Restaurant Menu App Keeps Customers Happy
The hospitality industry can benefit from the trend of insights-focused dining menu apps, allowing them to enhance customer experience and collect data for better business decisio…
Restaurant Ordering-and-Payment Platforms
OrderUp Lets Users Scan, Order, and Pay via a Smartphone
The hospitality industry can leverage technology-based, contactless dining experiences and paperless contact tracing to enhance safety measures for guests and staff, while also im…
Dine-In Loyalty Apps
'Lynq' Provides Benefits to Consumers who Dine in Partnered Restaurants
The hospitality industry has an opportunity to create rewards programs, like Lynq, to incentivize customers to dine-in and boost business after the pandemic.
Premium Seating Platforms
'Tablz' Works with Restaurants to Sell Premium Seating During Peak Hours
An opportunity for the restaurant industry to partner with startups that offer AI-based seating platforms and dynamic pricing platforms to optimize their revenue streams.
Automated Review Response Systems
'ReviewReply.AI' is Launching in September 2022
ReviewReply.AI's launch of its AI-powered review response solution marks a significant development in the already fast-moving sector of AI-powered technology and software.