This document summarizes a research paper presented at the ASE'13 conference about bridging the gap between product comparison matrices (PCMs) and variability models (VMs). The researchers conducted a case study of over 300 PCMs from Wikipedia to understand the types of information in PCMs and gaps with VMs. They identified 8 variability patterns in PCMs through qualitative and quantitative analysis. Their research aims to enable analysis of PCMs using VMs and generate product configurators and comparators from PCMs and VMs.