Qkly

Qkly (read /cu-kly/) automatically produces optimized schedules of all the business, attractions, or places based on your preferences. Using historical data, Qkly is able to estimate how crowded a place is at a certain time. Based on this information, it helps you to pick the time in which less people are present, so as to save time and avoid stress.

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Qkly is an EXPERIMENTAL app. The data it uses is limited by the availability of BBVA Innova Challenge dataset. Currently it is restricted to the cities of Madrid and Barcelona. Despite these limitations, we want Qkly to be as useful as possible.

Should you have any problem or suggestion, we are happy to help you. Any feedback you may provide will be gladly accepted and promptly answered.

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How many times did you get stuck in the queue at a supermarket or at a grocery store?
While standing in the queue, you may have wondered if there is a way in which you could have avoided it. And, as Murphy’s law teaches us, when you are done thinking and you can finally pay at the cashier, looking back will only reveal that the queue is now much shorter than when you came.

This situation is quite common especially when living in large cities as Madrid or Barcelona. During the sales period, for example, large crowds of people wander around shops. In the touristic areas, hordes of tourists are visiting churches, monuments, museums or theatres.
The question we may think of is: can we avoid queues? Our answer is yes, or at least reduce them. There are ways to optimize our schedule not to waste hours in queues. And best, how about having somebody else that can do this for us?