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cover of episode Agents of Innovation: AI-Powered Product Ideation with Synthetic Consumer Testing // Luca Fiaschi // #306

Agents of Innovation: AI-Powered Product Ideation with Synthetic Consumer Testing // Luca Fiaschi // #306

2025/4/15
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Luca Fiaschi: 我拥有超过15年的AI、数据科学和分析领域的领导经验,曾在HelloFresh、Stitch Fix和Rocket Internet等公司担任要职。我目前是PyMC Labs的合伙人,致力于将贝叶斯和因果推理技术以及生成式AI应用于财富500强公司。 在HelloFresh,我领导团队建立了数据平台,并实施了推荐引擎和预测模型等,极大地促进了公司业务发展。准确的预测在生鲜食品电商领域至关重要,因为错误的预测会对业务造成严重损害。 在Stitch Fix,我面临的是库存管理的挑战,因为其库存大部分时间都在运输途中,这要求对库存预测非常准确。 我发现贝叶斯模型非常适合高风险场景下的预测,因为它具有可解释性和良好的置信区间。 我目前正在研究如何利用AI技术增强数据分析和数据科学工作流程,解决数据团队规模化和利益相关者沟通跟进的难题。我们正在构建一个基于图的应用,其中包含多个代理,分别负责数据质量控制、洞察分析、模型构建和预测等任务。 我们还开发了名为“合成消费者”的虚拟消费者模型,用于快速进行产品概念测试和用户研究。我们可以利用公司过去的用户研究数据来微调LLM模型,从而创建更准确的合成消费者模型。 要找到高价值的用例,需要深入了解业务模型,找出对收入和利润影响最大的变量,并依靠团队的力量来发现新的机会。我鼓励数据团队积极主动地寻找新的业务机会,并将其作为关键绩效指标。选择关注哪些用例取决于公司的发展阶段和战略重点。 我通常会通过与公司高管沟通、分析数据、研究消费者调研报告以及利用外部工具(如OpenAI的Deep Research)来深入了解业务模型。

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Agents of Innovation: AI-Powered Product Ideation with Synthetic Consumer Testing // MLOps Podcast #306 with Luca Fiaschi, Partner of PyMC Labs.

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// Abstract

Traditional product development cycles require extensive consumer research and market testing, resulting in lengthy development timelines and significant resource investment. We've transformed this process by building a distributed multi-agent system that enables parallel quantitative evaluation of hundreds of product concepts. Our system combines three key components: an Agentic innovation lab generating high-quality product concepts, synthetic consumer panels using fine-tuned foundational models validated against historical data, and an evaluation framework that correlates with real-world testing outcomes. We can talk about how this architecture enables rapid concept discovery and digital experimentation, delivering insights into product success probability before development begins. Through case studies and technical deep-dives, you'll learn how we built an AI powered innovation lab that compresses months of product development and testing into minutes - without sacrificing the accuracy of insights.

// Bio

With over 15 years of leadership experience in AI, data science, and analytics, Luca has driven transformative growth in technology-first businesses. As Chief Data & AI Officer at Mistplay, he led the company’s revenue growth through AI-powered personalization and data-driven pricing. Prior to that, he held executive roles at global industry leaders such as HelloFresh ($8B), Stitch Fix ($1.2B) and Rocket Internet ($1B). Luca's core competencies include machine learning, artificial intelligence, data mining, data engineering, and computer vision, which he has applied to various domains such as marketing, logistics, personalization, product, experimentation and pricing.He is currently a partner at PyMC Labs, a leading data science consultancy, providing insights and guidance on applications of Bayesian and Causal Inference techniques and Generative AI to fortune 500 companies. Luca holds a PhD in AI and Computer Vision from Heidelberg University and has more than 450 citations on his research work.

// Related Links

Website: https://www.pymc-labs.com/