Trend radar:
What your customers will wear tomorrow
How CLIP analysis of runway images, social-media velocity and Google Trends momentum detects fashion trends 6-9 months ahead of the mass market.
01 The problem - identifying trends before they reach the mainstream
Why wide-leg jeans were visible on Instagram 18 months before the mass market
Fashion trends follow a predictable cycle: Runway → Influencer → Early Adopter → Mass Market → Overexposure → Decline. The problem: most buying teams react only in the mass-market phase - when production slots are already scarce and margins eroded by competition. Those who order 6-12 months earlier secure better prices, full capacity and first-mover margin.
02 Model - social listening + runway analysis + Google Trends
The model would have identified wide-leg jeans in March 2022 as an emerging trend - 14 months before the mass market reacted. Those who book production capacity at that point pay 15-20% less and have full supplier availability. With 5 correctly early-spotted trends per year, the margin advantage amounts to €3.2M. The model delivers an early-warning system, not a binary prediction. Trend signals feed into the buying decision as one of several factors - the human remains the decision-maker.
03 Next steps for your brand
Monthly report: top 10 rising trends, top 10 declining trends, with confidence score and lead-time estimate.
Trend scores feed as features into the pre-order model (Module 1). Automatic quantity adjustment for trend SKUs.
CLIP-based moodboards from runway images and social media posts. Concrete silhouette, colour and detail recommendations for your design team.
What this means for your brand is covered by our AI consulting for fashion brands.