Tech round-up: Stacking orders
Why am I sometimes offered two orders from the same restaurant, and why am I asked to deliver them in a certain order?
Sometimes, two orders from the same restaurant are ready at around the same time, and the customer addresses are near each other. When this happens, Frank (our machine-learning algorithm) offers both orders to one rider. We call this a stacked order.
You could be offered both orders at the same time, or you might be offered the second order in the stack while you’re on your way to the restaurant.
Frank offers you stacked orders so that each customer will get their food in the most reliable and efficient way. This helps us serve more customers, especially when we’re busy.
Sometimes, Frank may decide it’s best to drop off the order farthest away first, or it might feel like you pass one customer’s address to get to the next one. This is linked to when the order was placed, how long each item takes to prepare and each customer’s order arrival time. In short, this is so every order arrives hot and on time.
For you, stacked orders mean you earn more money in less time. They save you time on the road as you only have to go to the restaurant once and make two deliveries.
We know that sometimes, the first order in the stack might be ready for collection and you might have to wait for the second one to be ready.
Of course, we try to make sure stacked orders are ready for you to pick up at the same time. When this doesn’t happen, remember fee per delivery riders can use new feature in the app that lets you:
- See when both orders are expected to be ready, helping you to decide whether or not you want to wait for that second order.
- Use the timer to see how long you’ve been waiting.
- Tell us how long you’ve been waiting.
- Choose to reject either order in the app, straight away.
Frequently asked questions
Usually, a stacked order will be made up of two orders. If you’re offered a stacked order from an Editions site (a set of delivery-only kitchens), we may offer you more orders in one go.
No. It will be treated as though you have rejected just one order.
Other Tech round-ups
January 25, 2018
Tech round-up: Why am I offered specific orders?
Find out how the algorithm matches riders with restaurant orders. Read More
October 30, 2018
Tech round-up: Vehicle choice
Find out the factors that decide which rider gets offered each order. Read More
June 1, 2018
Tech round-up: Statistics – your questions answered
Find out more about how your in-app statistics work. Read More