Did you know that Americans spend roughly 37 billion hours each year waiting in line? With an average American estimated to spend 2 years of their life waiting in line according to estimates done by Prof. Richard Larson at MIT.

Whilst in the U.K., shoppers spend over a year waiting in store queues, according to the research published by Intel and Box Technologies.

Now think of the last time where you were held up behind a long line just for a freaking drink. Well you’re not alone, but guess what?

Google just released a new feature, where you can get updates in real-time of how crowded a place is beforehand and it is something worth looking into.


How does Google’s Real-Time work?


Google does this by using aggregated, anonymized location history data to predict the number of people inside, and even make a guess at how long they are likely to stay in there similar to what its Popular Times initially featured which made its debut last year.

If you don’t use Google or if you are just a lover of the mighty Internet Explorer, well then, the Popular Times is a feature that lets you know how busy a restaurant, coffee shop or bar typically is, at any given time of the week, whereby now Google’s Real-Time gives the Popular Times feature a more accurate and precise current data.



How does Google’s Real-Time benefit retailers?

Along with the Real-Time feature, the feature to clarify how long people typically stay in one place is something which is not only beneficial to customers but to retailers too.

With Google’s Real-Time, it updates retail hours to reflect holiday adjustments and this comes in handy for retailers to manage their incoming customer traffic and adjust their businesses.

As Google says

‘If you’re playing host for the day, you can also check and see how long people typically stay at a given location,’

‘That way you can plan your itinerary to the minute.’


Where can I find it?

Google’s Real-Time is available in the Maps and Search

Follow me on Snapchat, and I’ll keep you updated with what’s going on every now and then. 🙂

Google's Real-Time