Every try-on is a signal. Read it as merchandising insight.
Try-on behaviour reveals intent earlier than sales do. MAAYLZY turns that behaviour into the numbers a buyer and a merchandiser actually use - what gets tried, what converts, and how sizing is holding up.
Three views that change what you buy and how you merchandise.
Most-tried items
See which pieces shoppers put on themselves - a demand signal that arrives well before sales data does.
Try-on to purchase drop-off
Spot where interest fades between the render and the checkout, so you can fix the pieces that lose people.
Sizing accuracy trends
Track how often recommendations match what shoppers keep, and watch accuracy move as your data grows.
The signal arrives before the sale.
A spike in try-ons on a piece that is not yet selling is a reorder waiting to happen. A high try-on with low conversion points to a fit or price problem you can act on. MAAYLZY surfaces these patterns instead of leaving them buried in raw logs.
- High try-on, low sales - a reorder or a merchandising nudge
- High try-on, low conversion - a fit or price signal to investigate
- Rising size-up flags on a style - a cut running smaller than the chart
- Popular pairings - complete-the-look combinations worth featuring
See the analytics on a live try-on
We will walk you through the dashboards using a working try-on built on a sample of your range.
A live render, settled at rest