March 2020 brought unprecedented challenges for the hospitality industry. For Wyndham Hotels and Resorts, the world’s largest hotel brand with nearly 10,000 properties across 95 countries, the COVID-19 pandemic threatened to derail operations and revenue streams. Travel restrictions, plummeting demand, and economic uncertainty required the organization to act swiftly. Scott Strickland, Wyndham’s Chief Information Officer, faced a daunting task: maintaining operational efficiency while managing costs at an enterprise scale. The solution lay in a transformation strategy Wyndham had embarked on years earlier—cloud migration.
“We were already leveraging cloud technology before the pandemic hit, and that decision turned out to be one of the best bets we made as an organization,” Strickland remarked. By embracing a cloud-first philosophy and integrating AI-driven insights, Wyndham weathered the storm with agility, scalability, and efficiency.
When Strickland joined Wyndham, he was tasked with modernizing the company’s technology stack to support its growing portfolio of brands. The organization’s approach emphasized three guiding principles:
These principles culminated in the migration of Wyndham’s central reservation system (CRS) to Amazon Web Services (AWS), making it the largest cloud-based CRS in the hospitality industry. AI tools embedded within the system optimized data processing, helping Wyndham analyze real-time demand and guest behavior.
When the pandemic hit, Wyndham’s cloud-based CRS became the backbone of its operational resilience. The elasticity of the cloud allowed the company to scale down resource usage during the crisis, resulting in significant cost savings.
“The beauty of the cloud is paying only for what you consume,” Strickland explained. With reservation volumes at historic lows, Wyndham’s AWS-driven infrastructure automatically adjusted its computational needs, eliminating expenses tied to unused capacity.
The ability to optimize in real-time was further enhanced by AI capabilities. AI-driven analytics monitored booking trends and forecasted demand shifts, enabling the organization to make informed decisions about resource allocation. This functionality was especially critical as restrictions eased and markets began reopening at different paces worldwide.
AI played a multifaceted role in Wyndham’s crisis response and recovery. Key implementations included:
For Wyndham, franchisees are critical stakeholders. Strickland’s team worked to ensure that the cloud transformation directly benefited these small business owners, many of whom faced significant financial pressure during the pandemic.
Wyndham deployed mobile dashboards powered by AI to give franchisees real-time access to operational data. These tools provided actionable insights, such as occupancy trends and pricing recommendations, empowering franchisees to make data-driven decisions. “The system allows franchisees to accept or adjust recommendations easily,” Strickland noted. Over time, many franchisees learned to trust the AI’s recommendations, allowing the system to operate autonomously.
Wyndham’s investment in cloud and AI technologies yielded measurable results:
Reflecting on Wyndham’s journey, Strickland identified key lessons for CIOs and technology leaders:
As travel rebounds, Wyndham is doubling down on its technology investments. Strickland’s team is exploring new AI applications, such as generative AI for customer service and advanced analytics for sustainability initiatives. The lessons learned during the pandemic have solidified Wyndham’s commitment to innovation.
“We were using AI and cloud before they were cool,” Strickland quipped. “The real value lies in building systems that not only adapt to change but thrive on it.” Wyndham’s journey demonstrates the transformative potential of cloud and AI, offering a blueprint for other enterprises navigating the complexities of digital transformation.