Built for fashion teams who need a clear, ongoing view of consumer demand to guide design, assortment, and planning decisions.
Design and planning decisions are often made using assumptions, historical averages, or limited qualitative feedback, making it difficult to understand what consumers are actually responding to right now and how demand is evolving.
Consumer Insights brings together multiple consumer signal streams to reveal what is gaining attention, what is sustaining interest, and what is losing relevance. This helps teams understand not just what consumers like, but how demand is shifting over time.
AI analysis filters out short-term noise to identify sustained changes in attention and demand rather than momentary spikes.
Consumer signals are translated into clear insight that teams can use to guide design direction, assortment focus, and planning decisions.
Consumer Insights gives teams practical abilities to understand consumer demand as it forms and shifts. These capabilities help designers and merchandisers align decisions with real behaviour, not assumptions or lagging indicators.
See what consumers are actively searching for, engaging with, and responding to, providing an up-to-date view of demand.
Identify emerging changes in consumer interest early, before they fully surface in sales data or retail performance.
Understand which colours, materials, silhouettes, or details are driving consumer attention within broader categories.
Apply consumer insight directly to design, assortment, and planning decisions with clearer confidence.
Consumer Insights grounds decisions in real consumer behaviour. Teams gain clearer alignment between product direction and demand, reduce reliance on assumption, and make planning choices that reflect what people actually want.
A growing collection of articles, newsletters, Threads, Wraps, product updates, and case studies — focused on how collections are planned, decisions are tested, and lines improve over time. Made for designers and merchandisers who want clear thinking, not noise.
