AI for Health Supply Chain Optimization

Macro-Eyes predicts the utilization of health goods and services in the weeks/months ahead by leveraging its expertise in utilizing and analyzing supervised and unsupervised machine learning to track and derive signal across multiple dimensions of data: natural language, photographs, satellite imagery, routinely collected and publicly available data, qualitative survey data, and atmospheric data. The DoD spends $4.75 Billion each year on procurement and distribution of medical materials. Current medical logistics models are not accurately predicting demand in order to support wartime and contingency response surges to support Agile Combat Employment (ACE) theory.  When medical supply chains are not predictable they are subject to adversarial influence. Macro-Eyes makes supply chains predictive. Predictive systems are resilient– saving lives by improving access to medical resources, saving time by predicting what will be needed where next, and saving money by eliminating unused/wasted resources.he DoD spends $4.75 Billion each year on procurement and distribution of medical materials. Current medical logistics models are not accurately predicting demand in order to support wartime and contingency response surges to support Agile Combat Employment (ACE) theory.  When medical supply chains are not predictable they are subject to adversarial influence. Macro-Eyes makes supply chains predictive. Predictive systems are resilient– saving lives by improving access to medical resources, saving time by predicting what will be needed where next, and saving money by eliminating unused/wasted resources. Team: Thomas Greene, Director of National Security is a retired Lt Colonel with the US Army and IC community expert. Thomas worked with the National Geospatial Intelligence Agency to ‘technologize” their efforts in collaboration with Congress. Dr. Stephen Guerrera is the Principal Engineer who brough AIMLoc GPS denied technology to the Air Forces Research Laboratory. He holds a PhD from MIT and has nearly a decade of experience building tech in the NatSec space. Drew Arenth, MBA is the Chief Business Officer and co-Founder of Macro-Eyes. He has deep experience leading teams to build and deploy technology sustainably. Macro-Eyes received $2.59M in commercial revenue in 2021 with on track projections of $5.4M in 2022.  The company intends to further expand into the $21.8B global AI in supply chain market with upcoming projects and pilots with more than 10 active and interested clients ranging from Pharma, National Health Ministries, CPG supply chains, energy sector, and DoD.