Fashion Intelligence — Data Driven
Volna combines Google Trends and Pinterest data to forecast the rise and fall of luxury fashion brands — giving buyers, brands, and researchers a data-driven edge.
21
Brands Tracked
5yr
Data History
2
Signal Sources
6mo
Forecast Window
About Volna
Some brands are rising. Others are peaking. Some are fading. Knowing the difference before it happens is what separates reactive buying from strategic buying.
Volna tracks search interest and consumer intent signals across 21 luxury fashion brands, applies time series forecasting, and generates clear investment signals so you can make confident, data-backed decisions.
Live signal preview — current brand momentum
Methodology
Data Collection
Weekly trend data pulled from Google Trends and Pinterest, capturing both search intent and aspirational consumer behavior across the US market.
Forecasting
Holt-Winters exponential smoothing projects each brand's interest trajectory 6 months forward, accounting for momentum and seasonal patterns.
Lifecycle Classification
Each brand is classified into one of four stages — Rising, Peaking, Stable, or Declining — based on recent momentum and historical performance.
Investment Signals
Google and Pinterest signals are cross-validated to produce a combined Buy, Hold, or Wind Down signal with upgraded conviction when both platforms agree.
AI Interpretation
Plain-language brand interpretations grounded in consumer psychology research and cultural context, generated fresh from live data each run.
Coverage
Data Sources
Weekly aggregate search interest for fashion brand keywords in the US market via pytrends. Captures active consumer research and purchase intent.
Weekly aggregate pin and save counts per brand keyword. Captures aspirational consumer behavior and forward-looking purchase planning intent.
AI-generated brand interpretations using Llama 3.3 70B, grounded in consumer psychology research, cultural theory, and cited academic sources.
Who It's For
Know which brands are gaining momentum before the market catches up. Replace intuition with quantified trend signals and 6-month forecasts.
Track your own search trajectory alongside competitors. Understand where you sit in your lifecycle and what the data says about the months ahead.
Identify rising brands early and spot declining ones before they peak. Cross-platform signal validation adds conviction to investment decisions.
A working platform demonstrating applied machine learning, time series forecasting, and AI-powered analysis in the context of luxury fashion.
21
Brands Tracked
5yr
Data History
2
Data Platforms
6mo
Forecast Horizon
About the Project
Volna is developed independently to demonstrate applied machine learning and trend forecasting in the luxury fashion industry. The platform uses Google Trends, the Pinterest Trends API, and the Groq AI API to collect, analyze, and interpret brand interest data.
No personal user data is collected or stored at any point. All analysis is performed on aggregate, anonymized trend signals only.