I run a young, fast-growing luxury retail brand and need a partner who can turn monthly market-trends data into clear, actionable demand forecasts that guide everything from inventory buys to promotional timing. Our internal sales history is still thin, so your ability to squeeze insight from external trend indicators—and explain the story behind the numbers—is critical. What I’m after is a compact but reliable forecasting framework that the wider team can understand and use day-to-day. You should feel comfortable blending quantitative techniques (Python, R, Excel, Tableau or similar) with the qualitative context that comes from the human side of fashion retail. Once a solid model is in place, I’ll also lean on you to coach junior analysts and help refine our broader sales strategy and customer segmentation efforts as we scale. Deliverables I have in mind: • A 12-month demand forecast calibrated on our monthly market-trends feed, including clear assumptions and sensitivity analysis. • A lightweight dashboard or report template that updates automatically when new trend data drops. • A brief hand-off session so the team can maintain, interpret and improve the model without outside help. Acceptance criteria: the forecast must outperform a naïve baseline by a meaningful margin (MAPE improvement to be agreed), be fully reproducible, and come with plain-language insights that drive decisions, not just numbers. If this sounds like the right challenge for you, please share a couple of recent forecasting wins and let me know when you’re free for a quick call this week or next. I’m excited to see how your expertise can accelerate our growth.