AWS Case Study: McDonald’s

About McDonald’s

McDonald’s Corporation, an American hamburger and fast food restaurant chain. According to the McDonald’s Corporation website as of January 2020, McDonald’s has locations in over 120 countries. More than 38,000 restaurants around the world serve 69 million people every day. But with time the demand of people was to get the delivery and food items on there doorstep. To satisfy the customer not only with the taste but also meet demands of comfort, McDonald’s pulled of “Digital Transformation”.

McDonald’s has become emblematic of globalization, sometimes referred to as the “McDonaldization” of society.

Why Amazon Web Services

McDonald’s built and launched the Home Delivery platform, by turning to the cloud and a new ETL (extract, transform, load) solution, McDonald’s has created an integrated and trusted data platform with support for critical business initiatives, growth, scalability and usage-based cost savings.

It launched platform in less than four months using a microservices architecture running on Amazon Elastic Container Service, Amazon Elastic Container Registry, Application Load Balancer, Amazon Elasticcache, Amazon SQS, Amazon RDS, and Amazon S3.

With serverless computing, customers can pay per second, have unlimited scalability and use resources as needed, instead of paying for a manually provisioned amount of compute power, said Tuchen. This reduces waste of resources during times with fewer workloads while ensuring customers will get the resources they need during workload peaks.

Moving forward, the company will continue working on multicloud support, as well as automation and chargeback models. But with an effective data lake, processes and cloud-tools in place, the company is better positioned today for the digital age.

The Benefits

More than 100 markets use the McDonald’s global platform, which boasts more than 1,000 data integration jobs and 10,000 users across technologies (database, applications, ETL, etc.).

Online Platform Boosted the McDonald’s Market: The cloud-native microservices architecture allows the platform to scale to 20,000 orders per second with less than 100-millisecond latency, and open APIs allow McDonald’s to easily integrate with multiple global delivery partners. Using AWS also means the system provides McDonald’s with a return on its investment, even for its average $2–5 order value.

Along the way

The path wasn’t smooth: Like most companies taking on migration, McDonald’s was faced with the hard reality that the cloud can demand an entirely new skillset and learning curve. IT has to navigate a new field filled with unproven technologies and more emerging every day, according to Bhatt.

To get the job done, the company worked with more than 70 developers and three consulting companies, learning many non-technical lessons were along the way. But bringing in outside help is always an easy advantage because consultants can face a stiff learning curve too.

Since 2019

McDonald’s Corporation, the leading global foodservice retailer, has acquired Dynamic Yield Ltd. — the leading AI-powered Personalization Anywhere™ platform.

McDonald’s said it will use this technology to create a drive-thru menu that can be tailored to things like the weather, current restaurant traffic and trending menu items. Once you’ve started ordering, the display can also recommend additional items based on what you’ve already chosen.

Dynamic Yield will play a critical role in McDonald’s digital transformation, allowing it to become even more focused on the customer by deploying the technology in outdoor digital Drive-Thru menu displays, as well as other digital customer experience touchpoints, such as self-order kiosks and the McDonald’s Global Mobile App.

In the US, drive-throughs account for 70 percent of McDonald’s business and the average drive through order is fulfilled in under three and one half minutes.

At the moment

McDonald’s is mainly analysing the data collected within three different areas, the drive-thru experience, their mobile app and the digital menus. Together, these sources of data contribute to predictive analysis which can optimise the entire customer experience.

The launch of McDonald’s own app has been a great success so far. Their customers can easily order and pay for their food through the app — and in return, the Golden Arches get real-time access to vital customer intelligence. This data can be used to tailor specific offers to each customer, and thereby encourage repeat visits and an increase in sales.

By constantly tracking and analysing the incredible amount of customer intelligence. This information can be used to make further changes to the menu, optimise their supply-chain or make adjustments to the number of employees working on each shift. The food chain continues to accelerate its data-driven efforts.

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For now that’s all… Thank You 😊