Trend forecasting used to rely mainly on runway reports, trade fairs and buyer instinct. AI adds a new layer: it can scan huge amounts of data from social media, search and sales to spot rising colours, prints and silhouettes earlier.
What AI forecasting looks at
- Search trends for styles, colours and fabrics
- Social media images and engagement
- Sell-through data from a brand's own channels
- Regional and seasonal patterns
Why it matters for fabric
Fabric is often the longest lead-time item in a collection. If a brand can see earlier that, for example, satin co-ords or linen blends are rising, it can book fabric sooner and avoid last-minute shortages.
Using it well
- Treat AI signals as input, not instructions.
- Combine data with your brand's identity and customer knowledge.
- Test new directions with smaller fabric orders or RFD fabric before scaling up.
Planning a trend-led drop? Share your direction and we will suggest fabrics and finishes.