Hello, I'm Howell.
I'm an operations technologist specializing in holistic analysis of the end-to-end luxury-commerce lifecycle. From customer intent and demand generation, through product delivery, to the verification of high-value assets, my work sits at the intersection of marketing analytics, fulfillment optimization, and product authentication:
How do we anticipate demand?
How do we move in-demand goods with precision?
How do we verify that what arrives is exactly what was promised?
research-log is a lab notebook where I publish contract analyses I've authored, alongside documentation and field notes from data science experiments. You'll find marketing attribution frameworks that capture customer behavior, demand-forecasting systems that guide acquisition and reduce supply volatility, automated fulfillment pipeline checks that surface and resolve bottlenecks, and verification protocols to secure custody of high-value assets. Lately, I've been building predictive models for customer engagement using Python-based anomaly detection. So far, I've applied this modeling technique both to marketing conversion data and to fraud signals in transaction logs.
the-TRUSTLESS-report is a collection of my published writings, where I examine the decentralized web's role in the end-to-end commerce lifecycle, particularly where provenance, verification, and custody are critical. In past writings, I've discussed approaches to product authentication, innovations in tamper-resistant custody chains, and methods for proving asset identity without exposing sensitive commercial data.
After a decade in Technical Project Management, I recently completed my Bachelor's in Computer Science and Mathematics. The security, marketing, and supply chain research communities have been instrumental in my ongoing learning and growth. I'm now pushing myself to build in public, documenting my work with the goal of contributing to fulfillment innovation, and maybe help other curious supply chain developers along the way.
Howell Francis - 2025