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The future of assortment planning with AI predictive analytics

For too long, most buyers have relied on spreadsheets and old sales data, hoping past performance will predict future demand. But the world’s moved on, and so has the way that smart buyers work.
future-of-assortment-planning-with-AI-predictive-analytics
WGSN Fashion Buying

Every buyer knows the pressure of making the right call on next season’s ranges while the market and trends keep shifting. For too long, most buyers have relied on spreadsheets and old sales data, hoping past performance will predict future demand. But the world’s moved on, and so has the way that smart buyers work.

Why buyers get blindsided by spreadsheets

Spreadsheets have been a staple for years. They’re familiar, but they’re also slow, messy and prone to errors. When you’re switching between decks, spreadsheets and tools, it’s all too easy to miss the bigger picture. You end up reacting to what happened last season, instead of planning for what’s coming next.

Traditional demand-planning tools only look backwards, so you’re always one step behind. That means missed opportunities, wasted stock or over-buying in the wrong areas.

The smart buyer movement: the benefits of AI-driven assortment planning

Instead of looking backwards, buyers should look forward. Now, buyers are moving away from spreadsheets and static reports. They’re using predictive AI to make decisions based on real-time signals and future trends, not just old sales figures. This is the start of a smarter, more confident way to buy.

This is precisely why the WGSN Fashion Buying platform was created by buyers, for buyers. With this platform, you get: 

  • One dedicated workspace for every stage: pre-season, development, in-season and hindsight. No more piecing together information from different places
  • AI that predicts what’s coming, not just what’s passed, so you can build assortments around tomorrow’s demand
  • Tools made for buyers, by buyers, so you spend less time on admin and more time making the right calls

What makes AI assortment strategy different?

The WGSN Fashion Buying Platform makes life easier for buyers, tool by tool:

TrendCurve AI: Our TrendCurve AI model combines inputs from multiple data sources, applying deep machine-learning algorithms to generate trend projections, across thousands of key items, silhouettes, prints, colours and design details, averaging over 90% accuracy.

Assortment Builder: AI-assisted SKU mix suggestions, driven by live market signals and WGSN’s ideal edit, to help you put together next season’s range with confidence.

Opportunity Calculator: A tool that quantifies white space, benchmarks your buy against competitors and helps you spot market growth so you can identify gaps and act quickly.

CAD-Ready Files: Visual files that let buyers and designers work from the same page, making collaboration simple and avoiding miscommunication.

Big Ideas, STEPIC Emotions & Consumer Personas: Features that flag macro and behavioural shifts, so you can identify new demand pools and adapt your strategy.

TikTok Trading & Retail Analytics: Analytics to turn real-time social and store signals into immediate, actionable trading moves.

Core Item Updates, Director’s Briefings and Trend Investment Projection Scales: Guidance that shows exactly which trends to back and how deep to buy so your investment is always strategic.

Join the smart buyer movement

The future of assortment planning isn’t just about better tools; it’s about buyers supporting buyers. Here, buyers can connect, discuss real-life challenges and learn how to buy smarter with AI. Ready to plan around tomorrow’s demand instead of yesterday’s sales? Join us and discover what happens when buying gets smart.

→  Learn more about the smart buyer movement
 

 

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