Why do restaurant Google reviews tell you so little about your business?
Restaurant Google reviews sit apart from your reservations, POS and purchasing, so they only tell part of the story. The average restaurant runs on separate systems for reservations, POS, finance and purchasing, with no layer that connects them. AI agents make that data understandable and link reviews to what is actually happening in the restaurant.
How do you connect reviews to the rest of your restaurant data?
A review only becomes meaningful alongside reservation data, POS data and purchasing data. BI tools can deliver those insights, but for many restaurant owners they are too complex to put into practice. AI translates the data into understandable topics, so an owner can ask questions of their business directly. The limitation is technical: not every system supports a two-way API connection.
Which systems are disconnected from reviews?
Reservations, POS, financial back office and purchasing each run in their own system. Reviews on Google, TripAdvisor and Booking add a fifth, separate data source on top of that.
Why does a BI dashboard often fall short?
BI solutions deliver plenty of insight, but a large group of restaurant owners find them too difficult to understand and apply. Insight that goes unused won't get you better reviews.
What does an AI agent actually solve?
An AI agent automatically asks for a review after the visit by email, SMS or WhatsApp and replies to reviews on its own. Negative feedback comes in privately first, before it goes public.
The winners will be the companies that really understand how to connect all the data from a restaurant.
Frequently asked questions
Why is it hard to connect restaurant systems to each other?
A restaurant uses many different systems for reservations, POS, finance and purchasing. Not all of those systems offer a two-way API that lets data flow back and forth. Without those connections, information stays scattered across separate tools, and there is no overarching layer that links things like covers, revenue, purchasing and guest satisfaction in reviews.
What does AI add compared to a BI solution?
A BI solution delivers a lot of insight, but it takes know-how to read the numbers and act on them. AI translates data into understandable topics and lets you ask questions of your own business in plain language. That makes insight usable for restaurant owners without an analytical background, even though fully connecting every system isn't possible everywhere yet.
How do you stop negative feedback from going public straight away?
A common approach is to ask guests for feedback privately shortly after their visit, by email, SMS or WhatsApp. Unhappy guests can then share their experience directly with the restaurant first, so the issue can be resolved before it appears as a public review on Google or TripAdvisor. Happy guests are directed to the public review platform.
Try it on your own restaurant first.
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Video transcript
Like I just mentioned before, the, the companies who are going to win are the companies who really understand how to connect all the data from a restaurant. Because reservations, you have a system. For POS, you have a system.
For your financial back of house, you have a system. For your purchasements, you have a system. But there is not nothing like an overlay that connects all the dots.
There is something like a BI solution which is really helpful and it gives you a lot of insights, but it's still too difficult for, I think, a big group of hospitality owners to understand it and to apply it. So that's something AI brings to the table, to make it more understandable, to translate it to understandable subjects, and it made it possible to just question your company. But there, but it's not, it's not yet there.
And it's, and it's such a difficult thing to connect all those different systems because there are a lot of systems and not all of those are, uh, possible to connect with, with two-way API keys or things like that. So that, but I, I really believe in it.