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AI and Content Strategy: The Series
This new series of articles dives deep the realm of AI, machine learning (AI/ML), and content strategy with practical insights and applications for fashion and luxury.
Artificial intelligence (AI) has dominated the tech news for the past six months, perhaps only briefly eclipsed by all the news concerning Apple’s Vision Pro XR headset. Decision makers in fashion and luxury, like other industries, are racing to stay ahead of the game. But distinguishing between the hype and real opportunities to use AI for positive change through digital transformation can be hard.
As preparation for a new book on AI and content strategy that the It’s A Working Title team is currently authoring, we are launching a mini series focused on key topics across the landscape of AI applications for content strategy. We firmly believe that fashion and luxury brands need practical, actionable insights into how to leverage the benefits of AI with tech solutions and insights that add actual business value.
From trend forecasting tools for retail economics to AI-powered 3D creative design tools to generative large language models for marketing content creation, AI offers an array of solutions specifically geared for fashion and luxury. Many of these solutions will significantly improve current practices, strategies, and workflows across all areas of the business. Yet understanding the best contexts of AI, why they matter, and how they impact your brand content strategy can be tricky.
The goal of this series on AI and content strategy is to explore practical applications of AI for fashion and luxury content strategy as a way to mine through this complex, evolving space. These articles are by no means exhaustive but are intended to showcase the opportunities and challenges of AI, both locally and at scale, for fashion and luxury brands of all sizes.
Improving Luxury Forecasting: Reducing Waste and Improving Customer Experience
Clustering Customers: Using K-Means to Improve Brand Storytelling
Going Beyond Econometrics: Using AI to Improve Attribution Models to Better Learn What Content Works
The Future of AI and Search Engine Marketing: Is the Age of SEO at an End?