Hotel and Casino

The Golden Palm is a large hotel and casino with a rich and storied history. They're a very profitable business, and the owners pride themselves on their savviness. One of the things that fueled their success is their ability to constantly evolve and keep up with technologies and trends.

They were early adopters of credit cards, offered online bookings before any of the competition and they had one of the first Bitcoin ATMs in the world.

Recently, they've begun offering generous bonuses for both new and loyal clients. This really helped with growth, but also retention. However, it also attracted a small number of people who take advantage of the system.

The people taking advantage will keep returning with new identities, book the cheapest rooms, and then go through all of the bonus chips in a single day, and drink all the complementary champagne. Most of the time, they do pay for their rooms, but the Golden Palm is out of pocket a lot of money in the long run.

Since the Golden Palm has a lot of loyal and high profile clients who value their privacy and convenience, they don't want to introduce unnecessary friction to their stays for no benefit to them. They came up with a solution to kill two birds with one stone: they'll develop an automated check in system to reduce friction for their actual clients while using Verify to filter out the fraudsters.

They have trained staff to use the solution on premise. They don't need liveness checks, because the clients are physically present with their staff who won't allow scanning from screens or using photocopied documents.

The fraud they're encountering is also not particulary sophisticated, and they're never out more than a couple hundred dollars at a time. A single instance of fraud can't cost them massive sums, like it could in some other use-cases.

Location	Fraud Risk	Fraud cost	False Rejection Cost	End user motivation
In-person	Low	Low	High	Low

Golden Palm are looking for a High Conversion in-person solution.

Here's how they could configure Verify for their needs:

{
    "UseCase": {
        "VerificationPolicy": "Permissive",
        "VerificationContext": "InPerson",
        "ManualReviewStrategy": "NoManualReview"
    },
    "PhotocopyMatchLevel": "Disabled",
    "ScreenMatchLevel": "Disabled"
}

This works particularly well for them, and they find the fraud is reduced by over 90%. False rejections are extremely rare, but when they do happen, their staff can easily take over. A benefit they didn't anticipate is that the Verify SDK their staff are using provides extremely accurate extraction (because of all the additional checks), so their check-in process ends up being faster and smoother than before - delivering real value to their legitimate clients.