In this special experimental episode of Love, Hate, Automate, we test out Google's cutting-edge AI tool, NotebookLM, to create a unique listening experience.
What’s special about this episode?
Instead of our usual show format, we’re experimenting with Google’s NotebookLM, generating a dynamic AI-hosted conversation based on real sources about our founder and lead data scientist, Dale Parr. The AI pulled from five key documents—a CV, brand guidelines and three project white papers, totalling no more than 4MB—and created insightful, contextually accurate connections between the topics. This resulted in an engaging audio discussion that delves into how Dale balances gut instinct with data-driven decisions to drive innovation in fashion. The result? A fascinating exploration of fashion’s future through the lens of both human intuition and cutting-edge technology. We hope you love it!
In this episode of Love, Hate, Automate, we welcome Dale Parr, Founder and Lead Data Scientist at Structure of Legacy. With over 25 years of experience spanning investment banking, global fashion retail, and cutting-edge digital transformation, Dale brings a unique perspective to the fashion industry, blending the art of gut instinct with the precision of data.
Dale’s journey took him from scaling award-winning footwear and apparel businesses to exploring digital fashion and virtual identities in the world of Web3 gaming. Recognising the rising demand for data-driven decisions across industries, he launched Structure of Legacy to help businesses harness data science, driving success through actionable insights.
In this episode, Dale reveals:
How to balance gut instinct with data-driven decisions in fashion.
Why data doesn’t kill creativity, but empowers it.
The secret tools behind Structure of Legacy, including Legacy Score for optimizing supply chains and TrendCipher for real-time trend forecasting.
Real-world examples of how fashion brands can use data to innovate, reduce waste, and increase profitability.
Dale shares his insights on how businesses can combine intuition with data to create future-proof strategies. He also explores how data can uncover trends, enhance operational efficiency, and fuel growth—all while staying true to the creative roots of fashion.
Key Takeaways:
Learn how Dale bridges the gap between instinct and data to unlock innovation in fashion.
Discover the tangible benefits of combining traditional fashion expertise with modern analytics.
Explore the tools and strategies that are reshaping the industry, from AI to machine learning.
Dale’s unique approach proves that data and instinct can coexist, and when aligned, they create a powerful formula for success.
Whether you're a fashion veteran skeptical of data or a tech enthusiast looking to understand the industry's creative side, this episode is packed with actionable insights and future-forward strategies.
Tune in to hear how NotebookLM shares Dale’s charge in fashion’s data revolution—and how you could too!
Dale Parr: Instinct & Data (A NotebookLM Experiment)