🔹 Did AI Really Predict Levi’s Baggy Jeans Trend – Or Just State the Obvious? 🔹

🧐 Levi’s is claiming that AI helped them predict the baggy jeans trend—but did they really need Google Cloud for that?

In this week's podcast, brought to you by the A&M Consumer and Retail Group, Simbe, Mirakl, Ocampo Capital, and Scratch Event DJs, Chris Walton & Anne Mezzenga break down how Levi’s is using AI in merchandising and whether it truly helped them spot an emerging trend or just validate what good fashion merchants already knew. Plus, how does this compare to fast fashion brands like Shein & Temu, which are using AI-powered analytics in far more dynamic ways?

🔹 [0:00] – Levi’s & Google Cloud: AI-powered trend forecasting or marketing hype?
🔹 [1:25] – How Levi’s collects data from 110 countries & 50,000 stores
🔹 [2:50] – Could any good fashion merchant have spotted this trend without AI?
🔹 [4:10] – The fast fashion comparison: How Shein & Temu use real-time data differently
🔹 [6:00] – Should retailers rely more on data or intuition for trend forecasting?
🔹 [7:30] – Is Levi’s strategy a sign of real digital transformation, or just PR?

💬 What do you think—does AI help predict fashion trends, or is it just another buzzword? Drop your thoughts below! 👇

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