41–50 of 58 posts
But why?
Justifying the most expensive franchise 'take' of any chain in the nation, apparently. They're basically the mob of the fast food industry. They only want $10k from you to start your franchise; they cover all the costs of starting the business. The tradeoff they have the highest percentage take of any franchise.
> The goal of the Restaurant Edge Compute platform was to create a robust platform in each restaurant where our DevOps Product teams could deploy and manage applications to help Operators and Team Members keep pace with ever-growing business, whether in the kitchen, the supply chain, or in directly serving customers. > (Previous article) Our hypothesis: By making smarter kitchen equipment we can collect more data. By…
> The goal of the Restaurant Edge Compute platform was to create a robust platform in each restaurant where our DevOps Product teams could deploy and manage applications to help Operators and Team Members keep pace with ever-growing business, whether in the kitchen, the supply chain, or in directly serving customers. > (Previous article) Our hypothesis: By making smarter kitchen equipment we can collect more data. By…
> The goal of the Restaurant Edge Compute platform was to create a robust platform in each restaurant where our DevOps Product teams could deploy and manage applications to help Operators and Team Members keep pace with ever-growing business, whether in the kitchen, the supply chain, or in directly serving customers. > (Previous article) Our hypothesis: By making smarter kitchen equipment we can collect more data. By…
Buzzwords or not, Chick-fil-A has an incredibly efficient setup that has really improved significantly in the last four years.
Our hypothesis: By making smarter kitchen equipment we can collect more data. By applying data to our restaurant, we can build more intelligent systems. By building more intelligent systems, we can better scale our business. As a simple example, imagine a forecasting model that attempts to predict how many Waffle Fries (or replace with your favorite Chick-fil-A product) should be cooked over every minute of the day.…
Do people go out to eat more after wins than losses?
Our hypothesis: By making smarter kitchen equipment we can collect more data. By applying data to our restaurant, we can build more intelligent systems. By building more intelligent systems, we can better scale our business. As a simple example, imagine a forecasting model that attempts to predict how many Waffle Fries (or replace with your favorite Chick-fil-A product) should be cooked over every minute of the day.…
The iPad is going to handle that and signal to the cooks to drop more chicken tenders?
> The goal of the Restaurant Edge Compute platform was to create a robust platform in each restaurant where our DevOps Product teams could deploy and manage applications to help Operators and Team Members keep pace with ever-growing business, whether in the kitchen, the supply chain, or in directly serving customers. > (Previous article) Our hypothesis: By making smarter kitchen equipment we can collect more data. By…
Instead of building the entire stack using (OS + K8) why not use Azure IoTEdge or AWS Greengrass for fleet management? These services seem to have solved a lot of the problems (low-footprint, redundancy, cloud management) already.
> The goal of the Restaurant Edge Compute platform was to create a robust platform in each restaurant where our DevOps Product teams could deploy and manage applications to help Operators and Team Members keep pace with ever-growing business, whether in the kitchen, the supply chain, or in directly serving customers. > (Previous article) Our hypothesis: By making smarter kitchen equipment we can collect more data. By…
Instead of building the entire stack using (OS + K8) why not use Azure IoTEdge or AWS Greengrass for fleet management? These services seem to have solved a lot of the problems (low-footprint, redundancy, cloud management) already.
Saying you want to invest in ongoing intense data-driven store innovation, then building the whole thing atop a platform that you cannot rely on (may get discontinued, price may become huge, may become a barrier to technical innovation), that you dont control seems like an obviously bad move.
Finding smart people, rolling up your sleeves, & recognizing this as a core competency, an enabler, a driver of your business, & not outsourcing the problems, is the right move. If future teams do a better job building edge kubernetes, there should also be good portability.
Earlier quoted context omitted.
Buzzwords or not, Chick-fil-A has an incredibly efficient setup that has really improved significantly in the last four years.
All I know is that I can be car #105 in line at Chick-fil-A and I'll get my food faster than being car #2 in line at McDonald's. Whatever they're doing is working.
> The goal of the Restaurant Edge Compute platform was to create a robust platform in each restaurant where our DevOps Product teams could deploy and manage applications to help Operators and Team Members keep pace with ever-growing business, whether in the kitchen, the supply chain, or in directly serving customers. > (Previous article) Our hypothesis: By making smarter kitchen equipment we can collect more data. By…
CFA leads the industry in revenue per site. I think more accurate forecasting is a significant factor contributing to this. Their sites aren't larger or better located than their competitors. In fact, they're often right next to their competitors in a similar footprint. Since I have a CFA nearby which I drive by multiple times a day, I've seen first hand that they always have substantially more cars in the drive-thru line and parking lot than their competitors in the same strip mall parking lot.
Customers will see the overflowing CFA line at the drive-thru yet still choose to pull into line because they've learned that CFA's throughput is dramatically faster than their competitors. In my experience I'd guess about 2x-3x faster which is incredible when you think about it. They achieve that by getting a lot of things right but it seems obvious ensuring their order delivery backlog is as fast as possible through more accurate load prediction would be a key factor.