Trend Forecasting AI

AI fashion trend forecasting, runway to retail.

McLeuker AI is the first fashion research platform built for trend forecasting. Quantify next-season silhouettes, colours, materials and accessories from runway, Pinterest, social and retail signals — every claim cited, every velocity score sourced.

Why this matters

Generic AI fashion trend tools read editorial. McLeuker AI reads the runway, the pin-save velocity, the search-volume curve, the retail price drop — and gives you the trend before the editorial does.

What you get

Capabilities, not features.

Runway intelligence

200+ fashion-week shows decoded — silhouette frequency, colour palette, fabric direction. Every show, every season, cross-referenced.

Colour & palette forecasting

Pantone-referenced colour predictions with adoption timelines. Track which palette is rising on Pinterest before it lands on Vogue.

Material & fabric direction

From technical textiles to biomaterials. Track which fabrics are entering production cycles 6 months ahead of consumer reach.

Social-velocity signal

Pinterest pin saves, Reddit thread momentum, TikTok creator signal — fashion-specific social intelligence built for trend forecasting.

Quantified trend scores

Velocity scores (rising / peaking / declining) with % delta and geographic split per trend — not vibes, real numbers.

Regional adoption mapping

How a Tokyo street trend translates to São Paulo, NYC or Paris six months later. Adoption curves modelled per region.

How it works

Three steps. No setup.

01

Ask in plain language

"What's the dominant SS26 silhouette across PFW + MFW?" — natural prompts, no template fields. The platform speaks fashion.

02

Cross-source synthesis

Runway data + social velocity + retail signal + Pinterest moodboards merged. Two independent sources for every concrete claim.

03

Sourced trend report

Trend heatmap, velocity scores, regional breakdown — exported as PDF, deck or Excel. Every figure cited with a clickable source.

What you can ask

Real prompts. Real outcomes.

You ask

What are the top 5 SS26 womenswear silhouettes from Milan and Paris?

We deliver

Cross-show analysis with frequency counts, key designers, signature looks and a retail-translation timeline. Sourced to specific runway shows.

You ask

Track 'quiet luxury' velocity over the past 12 months on Pinterest and TikTok

We deliver

Velocity curve with peak month, top creators, geographic split, and three signal-adjacent trends rising in its slipstream.

You ask

Build a trend forecast deck for our Q4 buying meeting

We deliver

16:9 PPTX with trend heatmap, palette plate, key looks, regional adoption curves, and a buying recommendation per category.

Who builds with us

For fashion professionals. Period.

Trend forecasters

Cross-show synthesis no single editorial source delivers

Senior buyers

Quantified seasonal trend velocity for buying decisions

Creative directors

Cross-channel inspiration anchored to real consumer signal

Designers

AI fashion design tools — colour, silhouette, material direction

Retail planners

OTB allocation tied to quantified trend forecasts

Fashion editors

Multi-source verification before the trend feature ships

Get started

Try Trend Forecasting AI

Open the dashboard and ask about any season, any trend, any market.