This webinar has ended
You can no longer register for this event.
The recording will be uploaded very shortly and will be available on-demand.
Merchandising moves too fast for spreadsheets – yet many teams are still relying on legacy Excel sheets and guesswork to support their most important decisions.
In an era of AI, new tools are helping teams trade complex fashion, beauty, and seasonal categories.
Discover how merchandising teams are using AI to deliver:
10%+ improvement in full-price sales with 15% less stock
12%+ uplift in margin
30% better forecast accuracy
All while reclaiming hours that can be reinvested in strategy instead of spreadsheets.
In this session, we’ll deep-dive into three high-ROI use cases for AI that can be deployed in 90 days or less:
● Allocation & Replenishment: Using size and site-aware forecasts to keep core lines in stock longer, improving full price sell-through and availability with less manual work.
● Pricing Optimisation: Acting earlier with lighter, data-driven nudges that reduce the need for deep discounting at the end of each season.
● Demand Forecasting & Reorders: Planning new buys and reorders using seasonal, trend-aware forecasts that teams trust.
You’ll leave with practical examples of AI in action from a team of former merchants, plus guidance on the data you’ll need, the results you can expect, and how to bring your team along on the journey.
Meet the Speakers
Lindsay Fisher is a former merchandiser and a Co-founder of Sparkbox. She previously delivered pricing and inventory optimisation solutions for retailers including Arcadia, The Very Group, Superdry and House of Fraser. She has been recognised for her work at Sparkbox by Forbes 30 Under 30 in the European Retail & E-commerce category.
Michael Lombardi is a former Head of Merchandising with experience in apparel and footwear at Sears and Target. As a consultant, Michael delivered technology solutions in PLM, pricing, and inventory management for brands including PVH, Carter’s, Lidl, and N Brown.
