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5a1289e458
Leadership and team cards, board and founding prose, an AI persona modelled on a named individual, contributor and partner entries, and personal correspondence addresses all named one person. The organisation carries them now. Other people keep their names. Where a card, a board list or a founding line named someone else alongside, they stay exactly as they were; only the one entry was removed, and prose that listed two names now reads with one. Sample and fixture data uses the placeholder name these tests already use elsewhere, so the IAM username defect the notes describe still reads as written. The zoo/yapp MIT notice names the foundation that publishes it.
51 lines
1.9 KiB
TeX
51 lines
1.9 KiB
TeX
\documentclass[11pt,twocolumn]{article}
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\usepackage{../shared/hanzocover}
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\usepackage[utf8]{inputenc}
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\usepackage[T1]{fontenc}
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\usepackage{amsmath,amssymb}
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\usepackage{graphicx}
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\usepackage{hyperref}
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\usepackage{cite}
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\usepackage{algorithm}
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\usepackage{algorithmic}
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\usepackage{listings}
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\input{../shared/lstlang}
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\usepackage{xcolor}
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\lstset{
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basicstyle=\ttfamily\small,
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keywordstyle=\color{blue},
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commentstyle=\color{gray},
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stringstyle=\color{red},
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breaklines=true,
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frame=single
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}
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\title{Hanzo: An AI-First Commerce Platform}
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\author{Hanzo AI Research\\
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Hanzo Industries\\
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\texttt{[email protected]}}
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\date{January 2017}
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\begin{document}
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\hanzocoverpage
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\begin{abstract}
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We present Hanzo, an AI-first commerce platform that integrates machine learning throughout the customer journey. Unlike traditional e-commerce systems that bolt AI capabilities onto existing architectures, Hanzo was designed from inception with artificial intelligence as the core organizing principle. The platform provides real-time personalized recommendations, intelligent search ranking, dynamic pricing optimization, automated fraud detection, and predictive inventory management through a unified AI infrastructure. We describe the system architecture, detail the machine learning models powering each capability, and evaluate performance across production deployments. Results demonstrate significant improvements: 28\% increase in average order value through personalization, 45\% reduction in fraud losses, and 18\% improvement in inventory turnover. Hanzo represents a new paradigm for commerce platforms where AI is not an add-on but the foundational layer.
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\end{abstract}
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\input{sections/01-introduction}
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\input{sections/02-background}
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\input{sections/03-system-architecture}
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\input{sections/04-implementation}
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\input{sections/05-evaluation}
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\input{sections/06-lessons-learned}
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\input{sections/07-related-work}
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\input{sections/99-conclusion}
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\end{document}
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