Optimizing Supply Chain Efficiency with Lightweight, Cloud-Delivered Location Intelligence - A Chat With Cognosos' Adrian Jennings
I recently had the pleasure of interviewing Adrian Jennings, Chief Product Officer at Cognosos on the Digital Supply Chain Podcast. We discussed how location intelligence technology is now becoming common in enterprise-level logistics and how it can benefit different industries. Adrian has over 23 years of experience in the real-time location industry and gave us a great insight into how Cognosos is changing the game in the industry. He explains how their solution focuses on addressing manual, spatially distributed processes that are often invisible.We discussed how traditional tracking systems were very cumbersome and required a lot of expert installation, positioning, and calibration, and how Cognosos' lightweight infrastructure devices and cloud-delivered AI system is different. We also discussed two use cases for the solution and how it can be used to improve efficiency and reduce overstocking in both the logistics and healthcare industries.I highly encourage you to follow and support the Digital Supply Chain podcast to stay ahead of the curve in this rapidly evolving industry.Support the showPodcast supportersI'd like to sincerely thank this podcast's generous supporters: Lorcan Sheehan Krishna Kumar Christophe Kottelat Olivier Brusle Alicia Farag Joël VANDI Luis Olavarria And remember you too can Support the Podcast - it is really easy and hugely important as it will enable me to continue to create more excellent Digital Supply Chain episodes like this one.Podcast Sponsorship Opportunities:If you/your organisation is interested in sponsoring this podcast - I have several options available. Let's talk!FinallyIf you have any comments/suggestions or questions for the podcast - feel free to just send me a direct message on Twitter/LinkedIn. If you liked this show, please don't forget to rate and/or review it. It makes a big difference to help new people discover it. Thanks for listening.