WisePass has released a data-driven system to show publicly where the best drinking spots are

The Singaporean lifestyle app has built a system where it can rank the locations to help people make a decision when they want to go out

What are you doing tonight?

WisePass started 3 years ago as a nightlife app where people could redeem a bottle every night in their favorite bars for 300$US a month in Ho Chi Minh City.

The initial promise was that you could save some money and enjoy your favorite bar or club. In the process of adding new places to increase the selection, what the team discovered was the nightlife was rapidly changing and it was really a fierce battlefield and most of the bar or club would eventually need to shut down within less than 18 months on average.

The main question was to know which place is trending now? To answer that question is tricky as it would be pretty much some word of mouth or some subjective answers relying on empirical data. In other words, if you want to know where you should go get a drink in any city, you would have to ask your friends or look up online on some websites claiming to have the top 10 places in each city.

The future of drinking

For years, the F&B industry hasn’t truly leveraged on data to create a better user experience. What WisePass intends to is to process information to ensure that every single individual can get better access to places where they can have a good time based on data.

Starting with Ho Chi Minh City, WisePass has released a ranking based on how many members PASS at that specific venue. The highest amount of PASS would make the venue rank the highest. You can click here to look at the ranking.

As WisePass has an average of 2,000 PASS monthly, the data collected starts to be big enough to make sense out of it. When it would hit 20,000 PASS monthly, the numbers will just simply gain more relevance over time says Lam Tran CEO of WisePass.

That methodology has the advantage to be data-driven relying on a large userbase with the potential to make better suggestions at scale.

A more human perspective on data

We’re all making decisions every day. With WisePass we’re aiming at making people having a great time and reduce the decision fatigue they encounter for their daily activities.

The process is always about gathering a set of data and based on the emotional state of the user and her / his mood, the suggestions made can help to make a decision faster.

From the consumer behavior analysis what we realized is that female would like to go out and discover new places easily whereas male users would be more prone to come back to places they already enjoy. That affects a lot the recommendation engine as it takes into account the gender later to see what the best fit would be for that person based on other people’s behavior.

At the end of the day, it’s all about how we can spend our time more wisely.