In the technology world, and in Silicon Valley in particular, we often think in terms of new innovations. At RetailNext we’re no exception, as we constantly work on expanding our patent portfolio, developing new technologies and methodologies to create additional data streams for our retail customers.
Our mission is simple: help retailers become better retailers. Accurate, actionable data is how we do it, and we do it better than anyone else. It’s how RetailNext has been called the “Google Analytics for brick-and-mortar retailers.”
Creating new data sensing technologies and processes unlocks new, powerful data streams. But, the question often lies, “What do we do with all that data?” Luckily, not everything needs to be invented when it comes time to crunch the numbers.
Mathematicians have already done a lot of the heavy lifting for us. Whether it’s in the field of epidemiology investigating the spread of disease or in telecommunications solving for the flow of trans-Atlantic signals, math equations and functions already exist to solve problems. All retail has to do is borrow and apply proven science. In the newest episode of Tech Talk with George, George Shaw (aka @Kngpengwin), head of R & D at RetailNext, explains how:
Math to the Rescue-Tech Talk episode #6 from RetailNext on Vimeo.
Personally, I don’t know the difference between Ripley’s K and Special K. But, that’s the point – I don’t have too. The math and science is already there. Applied correctly, existing mathematical models can make sense of the wealth of data generated by our IoT stores, and it’s that sense of the data that helps us become better retailers.
Join the #tech, #math and #retail conversations with George on Twitter @Kngpengwin & @RetailNext, as well as at www.facebook.com/retailnext.