Photo analysis
What the photo shows,
your master data says.
Marcus
01The starting point
The photo shows everything.
The data says nothing.
The product has six good photos. You can see its color, its keyless chuck, the word “Brushless” on the body. None of these attributes is filled in, and your filters ignore it.
- Products missing from filtersWithout a color or material, the product disappears as soon as a customer filters.
- Attributes nobody entersLooking at every photo to note a color, across thousands of products: nobody does it.
- Silent suppliersThe supplier file gives neither the color nor the material: only the photo shows them.
02How it works
You ask. The agents take care of it.
- 01Choose the productsThose whose photos are already in your catalog, or a batch of images to drop.
- 02Each image is analyzedColor, material, shape, visible items and printed markings are noted.
- 03Every observation sourcedEach observation is sourced, then brought together and cross-checked with your other data, like any other source.
- 04Correct if neededA noted value can be edited like any other, then writing can follow.
Product photos
Packshots
Lifestyle photos
Labels
Packaging
03The result in Upsellr
Visible attributes
finally filled in.
Color, chuck, motor: what the photos show lands in your fields.
Every value cites the photo it came from.
- SeenIn one or more photos
- Cross-checkedWith your other sources
- SourcedThe original photo is cited
Illustrative example · sample data
04What makes the difference
What the enrichment agent can see.
Details, even small ones.
A marking printed on the body, a chuck type, a belt clip: the agent looks closely at what matters.
Color, named as it’s seen.
The shade noted in the image goes into the master data. At generation, each channel receives it from its own list: “Turquoise” on Amazon, for example.
A source like any other.
What can be seen in a photo is brought together and cross-checked with the rest of the data, to make sure it’s reliable.
05Results to document
What you’ll be able to measure.
- Share of products visible in your filters
- Number of attributes filled in from photos
- Time saved per product
Your questions.
Practical answers.
What you need to know before your first request.
Which attributes can be read from a photo?
The visible ones: color, material, shape, included items, markings printed on the product or its packaging.
Do the values follow my lists?
Yes. What the agent observes is matched to your fields’ allowed values.
How do I know a value comes from a photo?
Like any collected value, it cites its source: the photo concerned.
Do I need special photos?
No, your product photos are enough. Sharp images and views from several angles yield more attributes.
Can a photo replace the data sheet?
For what can be seen, yes. For the rest, such as weight or power, the agent relies on your PDFs and on brand websites.
Your photos are already there.
The agent makes them talk.
Try it on your products or explore photo analysis in a personalized demo.
Amazon