"Sophatar can turn any existing digital display into a proximity-enabled display. We connect a small add-on device to any regular digital display that you already may have, and that device acts both as the media player to our cloud-based digital signage system, and also allows our system to detect proximity between such a Sophatar-enabled screen and a smartphone to create user interactivity. No additional hardware, such as standalone beacons, need to be installed. Then we provide a fully-functional mobile app, or a software development kit (SDK) for a large retailer who wants to integrate this into an existing mobile app, to enable this detection. Even when your phone is in sleep mode, our screens can detect who is near them and show personalized product recommendations for who is within viewing range. Instead of seeing the automated suggestions, customers can also actively use their own phone while inside a store. Their phone basically becomes a remote control for any screen they're in front of, to select from the content the business owner has made available for that screen. For instance in a grocery store you can request product information for those products you're interested in at a particular aisle, get information about the weekly specials, new product items etc. And it works based on your micro-location, without the hassle of having to connect your phone to any Wi-Fi network!"
"Our personalized analytics engine tracks purchasing patterns on an individual basis and, with our proprietary AI-powered classification, derives suggestions for each individual user. Unlike other systems, it is not segment- or demographics-based but 100% individualized. The engine learns individual shopping preferences and habits at unprecedented levels of granularity based on past sales data or a personal profile, and then creates personalized product suggestions in real-time. And if you are like me, always forgetting the milk at the grocery store, our engine helps with that too! By learning each customer's shopping habits, it predicts which items you are running out of and can provide timely reminders. Basically Sophatar provides the input of who is in front of each screen; the QM-Scientific analytics engine provides the data back for the personalized suggestions; and Sophatar visualizes it on in-store screens. It's a great match and it shows as a fully integrated single product to the food retail business that wants to deploy this to improve its sales bottom line and better compete with online merchants."