mirror of
https://github.com/hanzoai/papers.git
synced 2026-11-03 02:27:30 +00:00
zeekay
0d1d121451
Fix shared/ include paths to ../shared/ for 55 subdirectory papers so
that hanzocover.sty and lstlang.tex resolve when building from each
paper's own directory (the build pattern used by latexmk per paper).
Build fixes:
- hanzo-operative/sections/03-screen-understanding-pipeline.tex: move
\COMMENT from after \FOR{...} onto the \STATE line so the algorithmic
env doesn't mis-parse.
- hanzo-network-architecture (abstract + sections 04, 12, 13): escape
unicode mu (U+03BC) as $\mu$ for pdflatex.
- ntt-transform/sections/08-benchmark-results.tex: same mu escape.
All 55 Tier-2/3 papers now build clean with latexmk -pdf.
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{Zach Kelling\\
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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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