Solving Retail Challenges with AI: Insights from Crisp’s Henrique Moyses

AITech Interview with Henrique Moyses, VP of Data Science at Crisp
Solving retail complexity with AI – a deep look at how modern data science clears the path for confident, real-time decision-making in CPG.

Henrique, your career journey is quite impressive! Could you share a bit about your background and what led you to your current role as VP of Data Science at Crisp?

My journey began as a physicist for almost a decade, beginning in Brazil and then in New York City at NYU, where I continued my academic studies and attained my PhD. I have focused on statistical physics, biophysics, and materials science, which have been instrumental in shaping my approach to data science – guiding me to break down complex problems into their simplest components before adding complexity, recognize patterns, and balance precision with practicality.