Courtney Kos: Ditching Your Excel Spreadsheet for AI Fashion Planning

Courtney Kos: Ditching Your Excel Spreadsheet for AI Fashion Planning

Author: GPT Trainer October 22, 2025 Duration: 17:10
In this episode of the AI Chronicles podcast, host Kyle James interviews Courtney Kos, founder of Prévoir, an AI-driven planning tool for the fashion industry. They discuss how Prévoir leverages computer vision and machine learning to help fashion brands analyze product performance, optimize assortments, and forecast trends. Courtney shares insights on the challenges faced by fashion brands in data analysis, the onboarding process for Prévoir, and the future of AI in fashion analytics.   Links:   Prévoir.ai: prevoir.ai   GPT Trainer: Automate anything with AI -> gpt-trainer.com   Key Moments: Prévoir was founded to address the lack of fashion-specific data analysis tools. Many fashion brands still rely on Excel spreadsheets for inventory planning. Computer vision has significantly improved, making data analysis easier and cheaper. User interface design is crucial for effective data presentation. Brands can onboard Prévoir in about 30 minutes, streamlining the integration process. Contextual data is essential for understanding sales performance. Fashion brands are looking to keep teams leaner amidst industry challenges. Prévoir is currently in beta, gathering feedback from pilot brands. AI can automate reporting processes for fashion brands. Internal data is the primary driver for fashion planning, not just external trends.

Every week on AI Chronicles with Kyle James, you'll hear a different story from the front lines of artificial intelligence in business. Instead of abstract theory, host Kyle James from GPT Trainer sits down with professionals who are already weaving AI tools into the fabric of their daily operations. These conversations get into the specifics-the unexpected hurdles, the small wins, and the tangible shifts in workflow that actually move the needle. This podcast is built on the idea that the most useful insights come from people who are already doing the work, sharing what has genuinely worked for them and what hasn't. You'll hear from marketers, analysts, founders, and operations leads who break down their real-world applications, offering a clear sense of how different tools function under pressure. The goal is to move beyond hype and provide actionable intelligence that you can adapt for your own teams. Whether you're looking to streamline a tedious process, spark creativity, or solve a persistent operational puzzle, these chronicles offer a diverse set of blueprints. Tune in for a grounded, practical take on innovation, where every episode serves as a potential starting point for your own company's next steps with AI.
Author: Language: English Episodes: 82

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