Jorge Bueno is a technology entrepreneur and CEO who has spent the last decade building Shoppermotion, an in-store analytics platform that uses novel indoor navigation and ML to deliver retail intelligence to global brands across 20+ countries. He combines deep academic roots—a PhD in 3D computer vision for autonomous robots—with hands-on product and hardware experience deploying IoT sensors for census-level tracking in physical stores. A repeat founder and early accelerator alumnus (Techstars), he blends research rigor with commercial execution, advising and lecturing Masters students and executives on data-driven retail innovation. Recognized as an MIT Technology Review “Innovator Under 35,” Jorge is equally comfortable discussing SLAM algorithms as he is shaping go-to-market strategies for brick-and-mortar disruption. Based in Madrid, he frequently bridges academia and industry through teaching roles and public speaking at business schools and global retail events. An often overlooked detail: his background includes space and robotics projects (ESA student mission work) that seeded his precision approach to indoor positioning and analytics.
10 years of coding experience
8 years of employment as a software developer
Entrepreneurship Course Bussiness Plan development competence research and marketing strategies, Entrepreneurship Course Bussiness Plan development competence research and marketing strategies at EOI Business School
Charles III University of Madrid (Universidad Carlos III de Madrid)
MicroMaster Business Analytics, MicroMaster Business Analytics at Columbia University
Master Thesis - Enhancing Face Recognition by Image Warping image processing intelligent systems PCA and signal analysis, Master Thesis - Enhancing Face Recognition by Image Warping image processing intelligent systems PCA and signal analysis at University of Glasgow
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