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
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.