Track, validate, and prioritise emerging fashion trends using real consumer signals, not opinions.
Built for fashion teams who need early, reliable direction on what trends matter, how fast they are moving, and when to act.

Fashion teams are overwhelmed by trend noise, fragmented signals, and subjective interpretation, making it difficult to distinguish lasting consumer shifts from short-lived hype early enough to plan with confidence.
Trend Sensing combines AI-driven signal analysis with expert curation to track consumer interest across runways, markets, and digital behaviour, translating complex trend movement into clear, decision-ready insights that fit existing planning workflows.
Trend Sensing is designed to reduce uncertainty early in the planning process. It brings together real-world signals from culture, retail, and consumer behaviour, filters out noise and short-term hype, and turns complex movement into clear trend direction. The result is a shared, evidence-based view of what matters, how fast it is moving, and when it makes sense to act.

Enstyle AI agents continuously gather trend signals from runways, brands, retail markets, and consumer search behaviour across regions and categories.

Al models measure momentum, growth rate, and maturity to distinguish genuine consumer adoption from marketing-driven visibility.

Trends are classified by strength, timeframe, and relevance, giving teams a clear view of what is emerging, peaking, or declining.
Trend Sensing combines continuous signal analysis with structured interpretation to support everyday product decisions. Each capability is designed to help teams understand what is changing in the market, how meaningful that change is, and how to apply it without prescribing outcomes. The focus is not on replacing judgement, but on supporting it with clearer evidence and shared context.
Spot emerging trends before they become obvious by continuously scanning runway direction, retail assortments, and consumer behaviour for subtle but consistent shifts. Enstyle’s AI agents surface early patterns that would be easy to miss manually, giving teams more time to design, plan, and respond with intent.
Understand both what is trending and when it makes sense to act. By tracking how trends evolve over time and synthesising complex signals into clear directional narratives, Enstyle helps teams judge momentum, avoid peak saturation, and interpret trends creatively without rigid prescriptions.
Move beyond inspiration-led decisions by validating trends against multiple real-world signals. By comparing runway exposure, market presence, and consumer interest, Enstyle highlights trends with genuine demand and flags those driven mainly by visibility or hype.
See which silhouettes, materials, and aesthetics are losing relevance, not only what is gaining traction. By monitoring declining momentum and negative inflection points, Enstyle helps teams consciously move away from ideas that are no longer resonating.
Create a single, consistent understanding of trends across design, merchandising, and buying. AI standardises how trends are defined and measured, reducing subjective interpretation and keeping teams aligned around the same evidence.
Using Trend Sensing changes how teams make everyday planning decisions. Designers gain clearer focus on which ideas are worth developing, merchandisers gain earlier confidence in how to shape assortments, and buyers reduce the risk of committing to trends that are mistimed or already past their peak. The result is a more aligned process, fewer late changes, and decisions that feel considered rather than reactive.
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.