Estimated to be worth $17 billion, the global secondary device market continues to grow. Counterpoint Research reported that worldwide sales of refurbished smartphones were at 140 million units in 2018. Though this was just a 1% growth over 2017, India realized a 14% growth of pre-owned device sales equalling 14 million units.

Software goes through an evolutionary process as dictated by Conway’s Law; with mutations occurring over time just as it does with various Italian flavors such as Spaghetti,  Ravioli, and Lasagna. Unlike the healthy Italian diet, this is not as good for software organizations. This evolution builds up constraints to the value creation process. A dynamic business landscape requires rapid changes to software to support the evolving business process. However, the expected pace is not met by the software organizations. Questions like “why does it take so long to make such a simple change” and “why is it so expensive” are not uncommon.  

HYLA TechTalk: We are continuing our ongoing series of blogs that will focus on the insights into the technology we develop and data we utilize across our analytics, trade-in, insurance and processing solutions utilized by carriers, OEMs, retailers and throughout HYLA.

HYLA manages millions of mobile devices through its reverse logistics lifecycle from collection, to grading, to maximum asset value recovery. For us to manage the process effectively and ensure that our customers get the maximum recovery value on their assets, we utilize data and information collected from our customers, vendors, various industry analysts, and mobile device buyers from over 50 different countries. HYLA collects close to 1M records of data related to mobile device pricing on a daily basis.

HYLA TechTalk: This blog is part of an ongoing series which will provide insights into the technology we develop and data we utilize across our analytics, trade-in, insurance and processing solutions utilized by carriers, OEMs, retailers and throughout HYLA.

Deep learning is an integral part of the supply chain management process here at HYLA Mobile. As an emerging technology, it’s often very difficult to get this working correctly. Moving from a working concept to a production system also tends to be quite difficult.  At HYLA, we get a lot of questions about how we make machine learning work for us, so if you’re training a machine learning algorithm for use with an application, read on for some useful information.

HYLA TechTalk: Introducing the first of many blogs to come which will provide insights into the technology we develop and data we utilize across our analytics, trade-in, insurance and processing solutions utilized by carriers, OEMs, retailers and throughout HYLA.

Recently, here at HYLA Mobile, our team pushed forward and got the entire trade-in and processing platform into Amazon Web Services (AWS).