Partner Interview
Published January 13, 2026
PAR Brink, Olo, and Qu: Positioning in the Restaurant Tech Stack
inpractise.com/articles/par-better-together-vs-best-of-breed-stacks
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Yes that's frustrating. It's interesting in terms of the data. When trying to understand your customer, many operators say they recognize their customers in-store and online, but they're not always sure it's the same customer. If they come through DoorDash, Uber Eats, or other platforms, I have no idea about them. Also, depending on how they pay, I may or may not have information. Can you help me understand why that is and how to disaggregate those issues?
This might contradict my previous advice about sticking with one company for best-in-class service, but you'll see why it makes sense here. We plan to work with Olo on their OloEngage platform, which is their guest and customer data platform. This is part of why we're using Olo Pay in-store. If 25% of your orders come from third parties like DoorDash, Uber Eats, and Grubhub, you still have 75% of your customers you could potentially know. Ideally, 100% of that 75% would either go through Olo or be in-store. For us, it's really one hundred percent because we use Olo for our catering platform as well. So we can then say, with Olo Pay online and in-store, we know which customers are using what. Obviously, they have ties to different credit cards, and we can pull some of that information. But the chances are, most customers use one card. Not many people have four different cards they use all the time. You have one card you use for most of your dining, right? Even if you have a second card, at some point, if they use their loyalty or input their phone number—because everyone has to put their phone number in online—even if you change a card, you're still tied to that phone number. So we know those two cards are tied together. If you use one of those cards online, we know the customer.
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