---
title: AI Agent for Order Recommendation in Self-Publishing
company: Mixam
date: '2025-01-06'
summary: >-
  Mixam, a global self-publishing company, partnered with Vstorm to build an AI
  agent using Pydantic AI that helps customers navigate complex printing
  specifications, reducing support burden while improving customer experience
  for all users who need ordering guidance.
industries:
  - Publishing
  - E-commerce
productsUsed:
  - Pydantic AI
canonical: 'https://pydantic.dev/case-studies/mixam'
---

> Markdown version of [AI Agent for Order Recommendation in Self-Publishing](https://pydantic.dev/case-studies/mixam) — the canonical HTML page.
>
> Mixam · 2025-01-06 · Publishing, E-commerce
>
> "Our project required heavy experimentation with different models and approaches. PydanticAI proved to be flexible enough to make these experiments possible, without losing the robustness required for the production environment. That's why we decided to use it in our project." — Lucian Puca, Digital Product Manager
>
> All case studies: [/case-studies.md](https://pydantic.dev/case-studies.md) · Site index: [/llms.txt](https://pydantic.dev/llms.txt)

---

Learn how Pydantic AI's focus on type-safety made it the right choice for the implementation of this powerful RAG vector store.

<a href="https://vstorm.co/case-study/ai-agent-for-order-recommendation-and-completion?utm_source=pydantic&utm_medium=partnership&utm_campaign=mixam" class="no-underline group inline-flex items-center justify-center gap-x-1 border border-paraffin px-4 py-2.5 text-paraffin transition-colors duration-300 hover:bg-paraffin hover:text-white md:px-6 md:py-[0.938rem]" style="text-decoration: none !important;" target="_blank" rel="noopener noreferrer"><span class="text-13-mono text-center transition-colors duration-300 group-hover:text-white">Read the full case study</span><span class="transition-all duration-300 group-hover:text-white group-hover:-translate-y-0.5 group-hover:translate-x-0.5">↗</span></a>


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