Optimize Core Operations
Efficient operations are at the heart of any travel and hospitality company, with planes and trains running on time, kitchens running smoothly and effective orchestration of housekeepers, shift workers and the like. There’s a need to optimize assets, improve utilization, implement predictive maintenance, ensure quality, health and safety standards and more. Modest improvements in efficiency can lead to transformative results.
AWS provides companies with everything needed to quickly and easily manage data, while helping them understand their customers and operations. Companies leverage AWS services to boost predictive capabilities -- safely adjusting routes, saving on energy and fuel costs, and maintaining their fleet and equipment. Companies can expand their use of data analytics and AI, to parse customer information for behavioral patterns to better plan inventory, schedules and more. AWS offers the most comprehensive services, global scale, agility and flexibility to combine different types of data and analytical approaches to gain deeper insights and drive more actionable outcomes.
Domino’s Pizza Enterprises Limited
By working with machine learning via AWS, Domino’s Pizza Enterprises Ltd can deliver pizzas faster, hotter and fresher to customers. Thanks to Amazon SageMaker, we were able to quickly and easily create a predictive ordering solution that can help stores anticipate what customers order. We strive 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.”
Michael Gillespie, Chief Digital and Technology Officer - Domino’s Pizza Enterprises Limited
“Scaling our technology stack to support growth and deliver a consistent and standardized experience to guests would be extremely difficult without the scale, services, and elasticity offered by AWS.”
Anil Goel, Group Chief Technology & Product Officer, - OYO Rooms
Airport Terminal Optimizer
Airport Terminal Optimizer is a system for airports with multiple terminals, that uses schedules published to OAG (up to 330 days in the future), operating costs, terminal and gate configurations to optimize terminal and gate openings when experiencing drastically reduced schedules. The solution also allows for generating what-if-scenarios based on reconfiguration capabilities of terminals and gates.
Data Platform for Airlines & Lodging
The AWS Data Platform for Airlines and Data Platform for Lodging both address the operational and analytics needs of airlines and lodging companies respectively, using open data standards, purpose-built databases, and extensible server-less architecture. These data platforms aim to gradually replace the Enterprise data warehouse platforms and operational data stores traditionally used, with reduced total cost of ownership by up to 50% while improving the service levels and business agility. The AWS Data Platform for Airlines with Master Data Management and Data Platform for Lodging with Master Data Management enhances the data platform by using master data management (MDM) tools to identify unique travelers and duplicates in loyalty membership. This approach allows for developing a single view of customer for up to 70% of the travelers and beyond loyalty members who account for 30-35% of the travelers.