未知数据源 2024年10月02日
Deliveroo’s successful food delivery operation uses AWS in every part of its core business
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Deliveroo与众多餐厅、杂货店和骑手合作,在全球多地开展业务。2017年转向AWS后,提升了服务质量,降低送餐时间和成本。利用AWS的机器学习和数据分析服务,管理物流并为客户提供个性化推荐,还借助其可扩展基础设施满足全球市场需求。

🥡Deliveroo与超过14万家餐厅、1万家杂货店和15万名骑手合作,在欧洲和亚洲800多个城市提供送餐服务。2017年与AWS合作后,服务质量得到改善,送餐时间缩短20%,成本也有所降低。

📊Amazon Machine Learning和数据分析服务为Deliveroo提供管理物流和个性化推荐所需的智能。AWS的可扩展基础设施帮助其满足全球12个市场的需求。

💻Deliveroo使用机器学习为企业领导者提供信息以做出数据驱动的决策,还利用机器学习在其网站上提供个性化服务,增加订单规模并减少交易放弃。

🚀2017年,Deliveroo与AWS合作制定迁移计划,将关键任务系统迁移到AWS,且未中断服务。迁移后,Deliveroo在繁忙时段提高了网站和网络性能,计算和数据库成本降低56%。

<section class="blog-post-content"><p>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. Amazon Machine Learning (Amazon ML) and data analytics services give Deliveroo the intelligence needed to manage delivery logistics and offer customers personalized restaurant recommendations. AWS’ scalable infrastructure helps Deliveroo <a href="https://aws.amazon.com/solutions/case-studies/innovators/deliveroo-innovator/&quot;&gt;meet the fluctuating demands of delivering food in 12 markets worldwide</a>.</p><blockquote><p><strong>“AWS enabled us to grow by letting us focus on what we do best: connect restaurants and consumers through a team of riders on bikes, scooters, or cars. At first, this was simply by providing the infrastructure that we needed to scale but didn’t have to manage on our own. Today, it’s with sophisticated tools that help us make the most of data, make us more secure, and operate as efficiently as possible no matter what.”</strong></p><p>Will Shu, Founder and CEO, Deliveroo</p></blockquote><p><img class="aligncenter size-full wp-image-13700" src="https://d2908q01vomqb2.cloudfront.net/c5b76da3e608d34edb07244cd9b875ee86906328/2022/09/25/DELIVEROO-HERO-GREEN-BIKERS-ORIGINAL.png&quot; alt="" width="487" height="274" /></p><h2><strong>Data-driven decisions based on machine learning</strong></h2><p>Deliveroo uses ML to provide business leaders with the information they need to make data-driven decisions. It allows them to test out new product ideas or operational approaches, and quickly provide the business with actionable insights about how the idea or approach would fare before rolling it out. Deliveroo also uses ML to provide personalization on its website that increases order size and reduces abandoned transactions.</p><h2><strong>Migrating to AWS–a journey to reliable growth</strong></h2><p>In 2017, Deliveroo approached AWS to create a plan for how and when to migrate each workload from its previous providers. Over several months, Deliveroo moved its mission-critical systems to AWS without disrupting service. By 2019, Deliveroo was all-in on AWS. Deliveroo relies on AWS for more than 90 percent of its technology needs, including every part of its core business. AWS also handles vital applications such as credit card processing, compliance tasks, and backend finance. Since migrating to AWS, Deliveroo has improved website and network performance during busy times and seen a 56 percent reduction in compute and database costs.</p><p>In this competitive market sector, Deliveroo needs to do more than just deliver food. It needs to deliver an exceptional customer experience, too. On AWS, Deliveroo can go deeper into its data, using analytics and ML to enhance every part of the business.</p><p>Get more insights on how <a href="https://aws.amazon.com/solutions/case-studies/innovators/deliveroo-innovator/&quot;&gt;Deliveroo continues to innovate and accelerate by building on AWS</a>.</p></section>

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Deliveroo AWS 机器学习 数据驱动 服务提升
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