Ecommerce ops ·
Stylematch links user-generated content directly to point of purchase with Stackla ShopSpots
The problem
Fashion consumers want real-time street-style inspiration they can immediately shop, but social UGC content was disconnected from direct purchase paths.
Workflow diagram · grounded in source
1
UGC image curation
integration
“The company uses Stackla to curate user-generated images of its products”
2
ShopSpots product tagging
integration
“tags each product using the ShopSpots feature to provide more information and link directly to the point of purchase”
3
SHOP THE LOOK wall
output
“Our site's SHOP THE LOOK fashion wall, powered by Stackla, gives consumers real-life "looks" that they can easily relate to and shop from, from thousands of brands and hundreds of retailers worldwide”
Reported outcome
Since launching the SHOP THE LOOK wall, bounce rates have declined and average time spent on the page is 68% higher than the site average.
Reported metrics
time spent on SHOP THE LOOK page vs site average68% higher than our site average
bounce rates on SHOP THE LOOK pagedeclined
Reported stack
StacklaShopSpots
Frequently asked questions
What did this team achieve with this AI workflow?
Since launching the SHOP THE LOOK wall, bounce rates have declined and average time spent on the page is 68% higher than the site average.
What tools did this team use?
Stackla, ShopSpots.
What results were reported?
time spent on SHOP THE LOOK page vs site average: 68% higher than our site average; bounce rates on SHOP THE LOOK page: declined (source-reported, not independently verified).
How is this ecommerce ops AI workflow structured?
UGC image curation → ShopSpots product tagging → SHOP THE LOOK wall.