SmartyFind

AI product and catalog photo analysis

Connect catalog facts with observations from product photographs so useful details can support product discovery and presentation.

01

Start with catalog facts and variants

Use names, descriptions, categories, brands, sizes, prices, availability and photographs from your store. Reuse analysis of identical photos across size variants.

02

Extract visible characteristics

Observe toe shapes, fastenings, heel shapes and sole appearance for footwear, or patterns, cuts and visible details for clothing. Results depend on photo clarity and angle.

03

Compare the model’s photographs

An outsole image cannot show all upper details. Analysis considers visible parts and can exclude contradictory observations from published attributes.

04

Review quality in the dashboard

Inspect analysis coverage, pending products, confidence and conflicts. Correct observations and retain verified catalog facts where AI disagrees.

05

Reuse details in search and content

A query such as “women’s shoes with thick soles” can use analyzed traits even when the title omits them. Connected enrichment can also show useful model details on public product pages.

06

Track scanning and updates

Processing uses batches, cached analyses, usage limits and error handling. Catalog import and completed photo analysis are separate milestones.

Frequently asked questions

Can photos confirm exact materials or measurements?

Exact measurements, materials and performance claims require verified catalog information. Photographs are not measurements.

Is every size analyzed independently?

Identical-photo analysis can be reused. Sizes and stock come from the store catalog.

What happens with unclear photos?

Review uncertain observations and provide clearer photographs or more complete catalog data.

Practical guides for real store problems

Fix products that cannot be found, improve incomplete catalog data and measure the outcome.

SmartyFind

A clearer catalog. More useful search.

SmartyFind connects product data, photographs and shopper intent. Store teams can identify gaps and improve content, product discovery and measurement.