It’s that time of the year, when not only does the weather improve, but your products are being tested far away in continental China. That’s right, after several months on the down-low, Compass.to has been hard at work developing and testing our proximity-driven products at the global LTE direct trials happening at the moment of writing in Shanghai. More specifically, at the Shanghai Tech University with hundreds of students, using our Compass.to apps. As we begin to learn from the complexities of LTE Direct, every little failure quickly turns into a huge success, learning from every tap, swipe or bug. That’s why great testing and iteration will always lead to optimal results.
Some may say proximity and location-based technologies are a thing of the past, where companies including Foursquare and even Facebook constantly adhered their business models to, but didn’t quite succeed at nailing this technology. Now, the new advent of proximity technologies is rising, with companies all over the world investing time and resources in order to get into the industry that will reach a whopping $12.2 billion dollar revenue per year in 2020. An important aspect of this industry is how retailers will spend more to gain access to millions of customers buy simply enabling their applications with hi-tech proximity SDK’s and third-party apps. This is a major value proposition for companies looking to get a piece of the pie when it comes to precise positioning indoor and asset tracking.
As we have learned during our trials in China, LTE Direct is a definite and exciting prospect due to its ability to listen to thousands of devices, rather than just pointing to a specific location, it works as a proximal discovery technology, always working in the background while saving battery consumption. Moreover, the often described “lagged market” when referring to the indoor LBS (Location-Based Service) market, has a great opportunity when it comes to mobile, considering that almost every smartphone comes with WiFI radios, Bluetooth radios and accelerometers, compass/magnetometer, gyroscope, barometer and proximity sensors. The combination of all these data can result in an extremely optimized experience both for the app publisher and the user during indoor activities.
A bright future lies ahead of these trials, when topics such as predictive analytics and hyper-local data come into play. This elements can add a specific value to users when matching behavioral patterns and location data. We are utterly excited with the first results coming from China and eager to get our apps working in the US.