Asbury Inn & Suites needed a messaging system that integrated with their existing Property Management System, provided a higher level of automated messaging with their guests, and had a more robust AI/ML model for classification.
Without a compatible PMS integration, operating a message platform would be futile. There would be no real-time data sync, and guest reservation data would be inaccurate, causing miscommunication and misfiring of automated messages.
And without confidently classify guest intents, especially if the hotel is looking to automate responses for FAQs, like WiFi and check-out information.
automated messages sent in three months
of the entirety of their reservations during that period
guests messaged during the same period
Whistle provides a seamless integration with Asbury Inn & Suites’ PMS, in this case SkyTouch Technologies, another AWS partner, which they were able to achieve. with AWS Lambda and AWS API Gateway. Together, Whistle and SkyTouch are able to sync guest reservation data in real-time, ensuring accurate and timely automated messages are sent to guests.
Using AWS Elastic Beanstalk in conjunction with AWS Comprehend, Whistle is able to power its ML classification model, and also detect guest sentiment instantly. Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to find insights and relationships in a text. This combination promotes a higher understanding of guest intents from an operational perspective and a further optimization of AI configuration.
They were able to streamline their pre-arrival and check-in process with the use of automated messaging, while also elevating the guest experience throughout the remainder of their stay. Daniel Mostad, of the Asbury Inn & Suites, says that Whistle is, “very intuitive and the AI learning feature is fantastic. We switched from another messaging platform to Whistle for these reasons. In addition, it integrates with our PMS, which makes everything much more streamlined. Couldn’t be happier with Whistle.”
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