Your catalog, understood.
Every product studied, structured, and kept current: fit, feel, fabric, occasion, styling, the story it belongs to. When AI agents do the shopping, this is the knowledge they'll read.
Backed by
Your product data stops at the description field. Kint looks at the piece itself.
What your product data says today
"Jacket.
Navy.
$240."
What Kint understands
Boxy-cut blouson, dropped shoulder, brushed cotton twill. Runs large; size down between sizes.
Pairs with the pleated trouser from the same drop. Hardware: matte gunmetal.
What your product data says today
"Perfume.
50 ml.
$185."
What Kint understands
Eau de parfum: iris and vetiver over a cedar base. Opens green, dries down powdery.
Sillage sits close: an office-safe signature. Fluted glass bottle, brass collar, refillable.
What your product data says today
"Dress.
Cream.
$310."
What Kint understands
Column dress in ribbed merino, high mock neck. Skims, doesn't cling. True to size.
Layers under the double-faced coat from this season. Hand-wash cold; dries flat in shape.
What your customer data says today
"Returning
customer.
3 orders."
What Kint understands
Buys boxy cuts in muted tones, passed on the florals. Sized down in the twill jacket; the 36 fit.
Found you on Instagram; "saw it on my feed" in two order notes. Follows the quiet-luxury stylists, and suede is rising there. Lead with the camel blouson from the new drop, in a 36.
Every product studied, structured, and kept current: fit, feel, fabric, occasion, styling, the story it belongs to. When AI agents do the shopping, this is the knowledge they'll read.
Your grid quietly reranks to what each shopper cares about, read from how they browse. Someone eyeing lightweight layers sees breathable pieces first.
Will it fit? · Is it thick or thin? · Can I wear it to work? · What goes with it?
Kint surfaces fit notes, feel, occasion, and pairings right on the page.


"It caught that the field jacket runs a half-size large. We never wrote that anywhere — it got it from the photos and reviews."