Case Study : Domino’s Pizza Enterprises using Cloud Technology

What is cloud computing?

Cloud computing is the on-demand delivery of IT resources over the Internet with pay-as-you-go pricing. Instead of buying, owning, and maintaining physical data centers and servers, you can access technology services, such as computing power, storage, and databases, on an as-needed basis from a cloud provider like Amazon Web Services (AWS).

Who is using cloud computing?

Organizations of every type, size, and industry are using the cloud for a wide variety of use cases, such as data backup, disaster recovery, email, virtual desktops, software development and testing, big data analytics, and customer-facing web applications.

Benefits of cloud computing

You can quickly spin up resources as you need them–from infrastructure services, such as compute, storage, and databases, to Internet of Things, machine learning, data lakes and analytics, and much more. You can deploy technology services in a matter of minutes, and get from idea to implementation several orders of magnitude faster than before.

With cloud computing, you don’t have to over-provision resources up front to handle peak levels of business activity in the future.You can scale these resources up or down to instantly to grow and shrink capacity as your business needs change.

The cloud allows you to trade capital expenses (such as data centers and physical servers) for variable expenses, and only pay for IT as you consume it. Plus, the variable expenses are much lower than what you would pay to do it yourself because of the economies of scale.

With the cloud, you can expand to new geographic regions and deploy globally in minutes.

Domino’s Pizza Enterprises Delivers in Record Time Using AWS for Predictive Ordering

When it comes to the global pizza business, Domino’s Pizza Enterprises Limited (Domino’s) has a large slice of the pie..

To enable faster pickup and delivery, the company recently launched Project 3TEN, an initiative that aims to have a pizza ready for pickup within 3 minutes or safely delivered within 10. This is all possible through efficiencies in cooking methods and transportation and by opening more stores closer to customers.

To support this initiative, the company wanted to use predictive technologies to help reduce pizza making and delivery times. “We can use technology to increase the speed of our ovens, and we can give our drivers more efficient technology like e-bikes or scooters, but we also needed to look at how we can help stores anticipate what customers order,” says Gillespie.

Domino’s turned to Amazon Web Services (AWS) and Max Kelsen, an Advanced Consulting Partner in the AWS Partner Network (APN), to help create a predictive ordering solution. “We knew we needed a smart, accurate system, and we liked what we saw in AWS machine learning technologies,” says Gillespie. “We knew that by using AWS services we could develop a solution that would give our stores a glimpse into the future by predicting what pizzas would be ordered next.”

The company created a data lake consisting of key order information by taking advantage of Amazon Simple Storage Service (Amazon S3) for data storage and AWS Glue for data querying. It also uses Amazon SageMaker to build and train machine learning models to predict the likelihood that an order will be placed, so a store can begin making that order right before it is placed.

As a trial, Domino’s initially deployed its predictive ordering solution in some of its stores in Australia. Store employees could view an ordering screen displaying specific pizzas with various color indicators corresponding to the likelihood of those pizzas being ordered. “This isn’t making pizzas and leaving them in a hot box for half an hour — this is getting the pizzas lined up, coming out of the oven, and ready to go as an order is placed,” Gillespie says.

The company enhanced the solution during the trial so it would be ready for a wider rollout. Domino’s then began deploying the solution to stores in New Zealand, France, the Netherlands, Japan, and Germany.

From Order to Delivery in 10 Minutes or Less

Using the AWS-based solution, Domino’s has given its stores a tool to help drive down pickup and delivery times for customers. For example, in 2019, a Domino’s store in Australia averaged delivery times of under 5 minutes, from order to doorstep, across an entire week. “It’s exciting that nothing changes from the customer’s perspective, except that the post-order experience can be much quicker,” says Gillespie. “Customers are getting their pizza faster, hotter, and fresher because of the improvements we’ve put into place with Project 3TEN. The predictive ordering solution we developed by using AWS is a big part of that.”

Domino’s is gaining a competitive advantage in the marketplace. “When our customers are hungry, they’re hungry now, and we want to deliver their meal as quickly and safely as possible,” says Allan Collins, chief marketing officer for Australia and New Zealand at Domino’s. “That’s our market differentiator. Some of our competitors still take 45 minutes to an hour to deliver a meal, when we can have a pizza delivered in 10 minutes or less following an order. That really impresses our customers.”

Customers are getting their pizza faster, hotter, and fresher because of the improvements we’ve put into place with Project 3TEN. The predictive ordering solution developed by using AWS is a big part of that.

Enabling Fast, Easy Deployment for Franchisees

Another advantage is that franchisees don’t need to spend much time being trained. “One thing we always try to keep in mind when developing technology is ease of use — the technology has to be accessible and easy to implement,” says Gillespie. “We knew if we had barriers to deployment, it would be challenging to roll this out.” Domino’s Technology Team worked hand-in-hand with the Operations Team to ensure a smooth rollout, with all new processes seamlessly dovetailing into existing operations.

Making Customers Happier

The solution is contributing to a boost in customer satisfaction. “Our data shows that the stores with faster pickup and delivery times have higher customer satisfaction scores,” says Collins. “And those customers are more likely to come back and recommend our brand to others.”

Domino’s has deployed the solution to stores in a number of other countries. “AWS has been a great company for us to work with because it’s helping us provide a new, unparalleled level of service to our customers,” says Gillespie. “In addition, we hope to take what we’ve achieved with AWS so far and push it to new heights in the future.”

It may be that the food provider needs a lot of efficient infrastructure if customers in this country decide they want that option too.


Domino’s Pizza reaps the benefits of cloud computing services

  • Assists Domino’s stores in achieving goal of pizza delivery in 10 minutes or less
  • Deploys accurate, predictive ordering solution quickly and easily
  • Enables fast, easy deployment for franchisees
  • Domino’s has already recorded cost savings and better efficiency — for example, staff can increase provision during busy periods like weekend evenings and slow it down during off-peak times.