
Deliveroo on AWS
Founded in 2013, Deliveroo works with more than 140,000 restaurants, 10,000 grocery partners and 150,000 riders, delivering meals in over 800 cities across Europe and Asia. When Deliveroo turned to Amazon Web Services (AWS) in 2017, meeting demand was a key challenge. Using AWS has allowed Deliveroo to improve service quality, reducing food delivery times by 20 percent while also cutting costs. AWS’s scalable infrastructure now helps Deliveroo meet the fluctuating demands of delivering food in 12 markets worldwide, while machine learning (ML) and data analytics services provide the intelligence to manage delivery logistics and offer customers personalized restaurant recommendations. In this competitive market sector, Deliveroo needs to do more than just deliver food. It needs to deliver an exceptional customer experience, too.
Deliveroo's Cloud Journey
Deliveroo Makes Its Business Better for the Environment Using AWS
[2021] Deliveroo is passionate about providing an excellent customer experience for all three sets of its marketplace users: delivery riders, restaurants, and consumers. When it comes to meal delivery, that care means reducing the environmental impact of its operations.

By Migrating to AWS, Deliveroo Charts a Journey to Reliable Growth
[2021] In 2017, Deliveroo searched for a new IT solution to manage rising demand with the guiding principle that it would only seek out service providers that were larger than itself from an engineering perspective. Amazon Web Services (AWS) had what Deliveroo needed.

Amazon Connect Lets Deliveroo Combine Chat and Voice Customer Service
[2021] Deliveroo is a company built on relationships. Operating in 12 markets, it has revolutionized the home delivery of restaurant meals since its 2013 launch. For it to be successful at food delivery, it must maintain good, fast, open communications with its customers—and that’s a three-part balancing act.

Deliveroo Makes Data-driven Decisions Based on AWS Machine Learning
[2021] Deliveroo uses machine learning (ML) to make better decisions. Automating dispatch of riders is an example of an area where using ML produces a better, faster result than would be possible with a human in the loop. Full automation benefits everyone, from restaurant, to rider, to consumer.


You can’t grow the way we’ve grown or build the things we’ve built if you don’t have fantastic, constructive, proactive support.
Amy Harms
Senior Engineering Manager, DeliverooDiscover more on Deliveroo's cloud journey
More customer stories
Did you find what you were looking for today?
Let us know so we can improve the quality of the content on our pages