Restaurants, Catering, & Food Service

Restaurant, catering and food service businesses are transforming. Whether through compelling events, a desire to stay top-of-mind as consumers shift to new sales channels or a need to adapt to the changing footprint of physical stores or distribution facilities--companies must innovate to stay ahead. By working with AWS, organizations are able to enhance customer experiences while increasing operational efficiency. AWS customers have access to the broadest and deepest cloud platform, the largest global community of customers and partners, and the most mature cloud platform.

Restaurant Brands International innovates while staying lean (1:52)

Benefits

Drive data insights

Restaurant, catering and food service brands are rich in data but poor in insights. AWS offers more data services than any other platform so that you can collect, store, process, analyze, and visualize data in the cloud. Deploy any applications regardless of volume, velocity, and variety of data. 

Innovate at speed

AWS enables brands to rapidly and reliably build, deliver, and iterate innovative products and services. Capitalize on trends, operational opportunities or supply chain initiatives through the simple provisioning and managing of infrastructure, code, and automatic updates. 

Flex & scale

Connect with your guests, team members and physical assets no matter where they are in the world. AWS Regions, Availability Zones, and Pay-as-you-go pricing lets your brand handle any sized audience without upfront capital investment. Instead of managing complex infrastructure, AWS lets you focus on what you do best, running great outlets, providing exceptional guest service, training your staff and building community.

Use cases

  • Data lakes
  • Personalization
  • Voice-based customer service channels
  • Data lakes
  • Data lakes

    With the most complete data management platform and numerous partner solutions, AWS can help optimize the entire data life-cycle, including collection, ingestion, processing, analytics, short-term storage, and archiving. Break data silos by storing and analyzing multiple data types from a wide variety of sources, structured and unstructured, in a centralized repository to create a 360° view of customers/operations/supply chain. AWS also provides sophisticated capabilities to support business intelligence tools, machine learning, and artificial intelligence.

  • Personalization
  • Personalization

    Brand and 3rd party data along with AWS Machine Learning capabilities can be leveraged to create individualized recommendations for guests. Engage guests with personalized messages through their preferred channels and delight them by implementing tailored experiences.

  • Voice-based customer service channels
  • Voice-based customer service channels

    Provide superior customer service at a lower cost to guests, franchisees and employees. Amazon Connect is an easy to use omni-channel cloud contact center that provides a seamless experience across voice and chat for customers and agents. This includes one set of tools for skills-based routing, powerful real-time and historical analytics, and easy-to-use intuitive management tools – all with pay-as-you-go pricing. Set up a contact center in minutes that can scale to support millions of customers.

Case studies

McDonald’s

McDonald’s Chief Technology Officer (CTO) Tom Gergets discusses the brands digital transformation using AWS.

McDonald's Corporation transformed into a digital technology company, beat performance targets by up to 66 percent, and completes 8,600 transactions per second via its point-of-sale (POS) system.

Watch video »

Chick-fil-A

Chick-fil-A utilizes Amazon Comprehend to help spot food born illness.

Using publicly available data, Chick-fil-A can detect a potential food safety opportunity with 86% accuracy.

Watch video »

Upserve

Upserve provides online payment and analytical software to thousands of restaurant owners throughout the U.S.

Using AWS Machine Learning, Upserve quickly develops and trains more than 100 learning models, streams restaurant sales and menu item data in real time, and gives restaurateurs the ability to predict their nightly business.

Read case study »

Domino's Pizza Enterprises

Domino's Pizza Enterprises is an increasingly digital business, with more than 70 percent of sales coming from online orders. Domino’s utilizes predictive ordering to deliver pizza in record time with the help of AWS and machine learning service Amazon SageMaker. Read how building on AWS helped them deliver pizza faster, hotter and fresher.

Read case study »

Get started

Leading companies in travel & hospitality are already using AWS. Contact our experts and start your own AWS Cloud journey today.