Autohost scans, inspects and ranks every reservation to flag risks. From enquiry to check-in, we continually analyze reservation changes and notify the manager or operations team with actions to take in order to reduce your risk and avoid parties, fraud, chargebacks, crime and potential damage to your business.
Our proprietary algorithm scans every reservation, even when it changes, to make sure nothing slips by.
Each guest reservation is clearly tagged with a color-coded risk classification and easy-to-understand description.
Based on the risk score, we provide actionable recommendations, giving your team the confidence to move forward.
When a guest makes a booking, we automatically send them a link to confirm their reservation and ask for additional information based on their risk level.
Higher risk guests are required to provide a lot of information in order to reduce their risk level, while low risk guests can snap through the verification with just a couple of clicks!
For each guest, we collect, parse and analyze thousands of parameters to make sure they are exactly who they say they are. We then verify all of the guest's collected information, validating that it's true and accurate, providing the manager with piece of mind and the guest with a streamlined booking experience.
We screen guests using our proprietary algorithm. Autohost examines different parameters to evaluate the risk level of guest reservations and, if necessary, runs a complete background check on the guest. We then provide suggestions on how to manage the reservation, such as additional questions to ask the guest. We flag for the following scenarios:
Autohost automates your guest screening process. We combat fraud and guest misbehaviour, while flagging potentially risky reservations. Autohost is used by the following industries:
A background check is the way to look at a person's historical analysis and determine if they have any offences that could restrict them from entering the property. Autohost leverages the power of machine learning and AI to comb through 300k databases in a split of a second to find a match for an individual.
What do we look for?