The Measurement Minute #47 with Gary Angel : Don't be a Friggin Moron - Choosing a Cloud Provider for Retail Some IT decisions aren't really about IT. And if you're a retailer, choosing ...
There’s a rich history around the idea of data augmentation for Machine Learning. If you have a library of images you want to train a model on, you can use simple image manipulation techniques to c...
We use a variety of sensors to track shopper movement in stores. And to do that more accurately, we re-engineered our processes to take advantage of machine learning. You can get the full skinny on t...
To understand why ML became the centerpiece of our location analytics strategy you have to understand why we had a problem in the first place. In this post, I’m going to describe how traditional lo...
Over the last six months we’ve aggressively re-engineered one of the key processes in our business to be Machine-Learning based. We use a variety of vendor technologies to collect data about shoppe...
Making the Right Choice for Measurement Store Traffic and Shopper Journey My last post described how store format impacts shopper measurement tracking technology decisions. Why is store ...
There are four or five different ways to collect geo-location data about customer/shopper journeys. Camera, Wifi, Passive Sniffer, Mobile App, and Active RFID all have unique characteristics that mak...
The Measurement Minute #28 with Gary Angel : What it Takes to Measure the Impact of Out-of-Stock Conditions in the Store Measuring the impact of out-of-stock conditions is kind of like a...
Measuring queue times and understanding queue management performance are a core use-case for in-store journey measurement. Lines aren’t just a pain-in-the-ass for shopper and customers, they’re a...