
958 of 1,012 now have an answer, each with its source. The 54 left need a certificate. Open a task for Compliance?
01Creation
From specs to product data
Kito reads supplier specs, images and documents together, then writes product data in your brand’s voice, with sources behind the details.
Compare images with specs for details such as colour, cut and composition. See what’s confirmed and what still needs evidence.
Apply your category requirements, channel rules and writing style. See the catalogue examples or guidance behind each choice.
Bring rising searches or your own keywords into titles, descriptions and tags only when the product’s images and sources support them.
Create titles, descriptions, product details, tags and variants together, with a source attached to each added detail.

- Colour: charcoalImage
- Material: 70/30Care label
- Belt, patch pocketsSpec p. 2
- Lead with fabric and fitApplied
- Fibres in care label orderApplied
- EU sizes, 32 to 58Applied
- Quiet luxury coatSupported
- Belted coatSupported
- Barn jacketNot supported
- TitleCare label + image
- Description6 sources
- TagsSpec + search
02Verification
Check the record against the evidence
Whether it came from a supplier, your team or an AI tool, Kito catches errors, contradictions, hallucinated details and unsupported claims before they go live.
Check required fields, formats, units and size logic against your rules. Flag missing size charts, invalid colour names and empty fields.
Compare images, descriptions, supplier documents and variants to find contradictions, including material claims that the care label or spec doesn’t support.
See the conflict, its evidence and the records affected. Send findings to your existing process or directly to Correction.

Longline Wool Coat CT-0421
Your description says charcoal kimono, but Kito’s image check and the product title show a long wool coat. Which is correct?

- Contradictions600
- Missing size charts96
- Claims need proof54
03Correction
Fix the error. Check the fix.
Kito resolves errors against your trusted sources and updates the affected product data, sending unclear cases for review before changes move on.
Weigh care labels, images and supplier specs using your source priorities. When evidence can’t settle the answer, send it for review.
Update the product detail, title, description, tags and affected variants together, so the same error doesn’t survive elsewhere.
Run corrections through Verification, check for new contradictions, and send approved changes back to your PIM, data platform or channels.

- 1 Care labelUsed
- 2 Product imageAgrees
- 3 Supplier specOverridden
- TitleUpdated
- DescriptionUpdated
- MaterialUpdated
- Variants14 of 14

04Compliance
Your rules, built into the work
Kito applies requirements by category, market and channel, flags missing documents or unsupported claims, and gives your team the evidence needed for review.
Use the product’s category and market to apply documentation, disclosure, claim and labelling requirements, without configuring checks product by product.
Check for required certificates, test reports and declarations, and evidence behind claims such as “organic”. Turn missing proof into a review task.
When a rule or product changes, recheck the affected records and flag anything that needs a new decision.

- Care labelRequired
- Fibre orderBy weight
- Origin declarationOn file

- Rechecked2,340
- Need a decision18
05Publishing
Every channel, in its own format
Kito shapes each product for every marketplace, channel and your own site, and only sends what’s ready.
Map your product data to each channel’s fields, formats and limits, from Google Shopping to Zalando and your own site.
Check required fields and channel rules before anything is sent, and hold products that would fail.
Publish ready products whenever the catalogue changes or on a schedule, with a record of what was sent where.

- material_composition70% WO · 30% PA
- size_systemEU 32–58
- colour_codeCharcoal
- Google Shopping1,012 held
- ZalandoSize system checked
- MetaSent
- Your siteSent
06Performance
Let results guide the next change
Kito connects product data with rising searches and sales results, helping your team choose what to improve and compare the results after changes.
Match rising searches to products using their images and data. Choose how often to run updates and which fields can change.
Send opportunities from search and your analytics tools into Creation or Correction, so improvements use the same sources and approvals.
Compare how products are found and bought before and after a change, with a record of what was updated.

- Car coat430 products
- Barrel-leg trousers610 products
- TitlesReview first
- TagsAuto
- Compared30 days each side
How a run works
Set it up once.
It runs every time.
One instruction starts the workflow.
“Every Monday, take new arrivals from Databricks, fill what’s missing from supplier specs and prepare the Google feed. Hold anything unclear for review.”
A workflow you can read.
Kito turns the request into steps: pull the arrivals, fill the gaps, check the evidence and prepare only clear products for Google.
You settle what Kito can’t.
Suggested values are grouped so you can approve them in bulk. Anything with conflicting sources waits for a person.
Ready products move on. Unclear ones wait.
Kito posts the result in Slack with the Google feed, the held products and a direct link to review.

Sets up work on 112,400 products → Google supplemental feed. Opens a conversation with Kito; nothing changes until you save.




Works with what you already use
The systems your team knows, custom and in-house included.
The places your customers shop.
Where your
data lives
-
Salsify
-
Akeneo
-
inRiver
-
Shopify
-
SalesforceCommerce Cloud
-
SAP
- Microsoft Fabric
- Stibo Systems
- Syndigo
- commercetools
Where
you sell
-
Amazon
-
Zalando
-
GoogleShopping
-
TikTok
-
Pinterest
- WalmartMarketplace
- eBay
- Mytheresa
- Net-a-Porter
- OTTO
- bol
- Mercado Libre
- AliExpress
See the factory run on your products.
Start with one category. We’ll show you what Kito finds, fixes and proves, using your own data.