“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.” “We knew we needed a smart, accurate system, and we liked what we saw in AWS machine learning technologies,” says Gillespie. “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.ĭomino’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. To support this initiative, the company wanted to use predictive technologies to help reduce pizza making and delivery times. This is all possible through efficiencies in cooking methods and transportation and by opening more stores closer to customers. 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. “We strive to use it to reduce pickup and delivery times, because we’ve identified that the sooner we can get a pizza to our customers, the more satisfied they are with their meal.” “Our investment in technology is a key ingredient to our growth as a business,” says Michael Gillespie, chief digital and technology officer for Domino’s. Domino’s maintains a network of more than 2,600 stores globally and is based in Brisbane, Australia.ĭomino’s is an increasingly digital business, with more than 70 percent of sales coming from online orders. The company, which is the largest Domino’s franchise holder, represents the Domino’s brand in Australia, New Zealand, Belgium, France, the Netherlands, Japan, Germany, Luxembourg, and Denmark. When it comes to the global pizza business, Domino’s Pizza Enterprises Limited (Domino’s) has a large slice of the pie.
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