A buy intelligence platform built for ONE Clothing: score a product photo against trend signals and sales history before a single unit is committed to the buy plan.
ONE Clothing's buyers were making buy decisions on instinct and lagging trend reports, with no single view of which categories, colours or price points were actually moving before committing budget to a season's assortment.
There was no fast way to sanity-check a candidate product against real trend and sales signals before it went into the buy plan.
Screens below are the live product, not mockups.
Upload a product photo and TrendCall scores it against sales history and current trend signals before a single unit is committed.
Every evaluation logged with its verdict, score, buyer and outcome, filterable by category, verdict or outcome across the season.
Products evaluated, approved and rejected buys, and predicted sell-through, tracked against the prior season in one dashboard.
ONE Clothing's buying team now scores a product against real trend and sales signals before it ever reaches the floor. This season alone, 248 products were evaluated, 96 approved buys were committed with $14.2M in spend, and 61 risky picks worth $8.6M were avoided, reflected in a predicted sell-through of 74% across approved buys.
Tell us what you are trying to solve and we will come back with a clear quote within 24 hours.
Get your quote