AI is moving into fashion retail fast, and buying teams are already feeling it. In this episode, Elisabeth Mac Hale looks at what AI tools are useful for in the buying process, where the risks are,and what a buyer needs to understand to use these tools well without losing the commercial judgement that makes them valuable. Elisabeth covers three areas where AI supports better buying decisions: trend and demand forecasting, range planning and option analysis, and customer data interpretation. She talks about risks involved, including over-reliance on outputs without sense-checking, the data quality issues and why junior buyers using AI to skip the analytical work may create a skills gap that will cost them later. In This Episode• Where AI is already delivering value for buying teams• How trend and demand forecasting tools change what's possible in the buying cycle• Why range planning and option analysis are really practical applications • The over-reliance risk and why an AI output is a starting point, not a decision• The data quality problem: why garbage in means garbage out• Why junior buyers skipping the analytical work to reach an AI output faster may cost them commercially Resources MentionedBuyer's Tool Kit: https://learn.designdirectiveme.com/buyers-toolkitConnect With ElisabethWebsite: designdirectiveme.comInstagram: @thedesigndirectiveLinkedIn: Elisabeth Mac Hale

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