Product data enrichment

New products arrive half empty. Your team fills them by hand.

Cernel's agents fill every field and write each product in your brand voice, by rules you set once.

Trusted by e‑commerce teams at

Sound familiar?

If every new product starts from a blank page, this is what changes.

  • ChatGPT

    Instead of

    Pasting product data into ChatGPT and the answer back, one product at a time

    • ChatGPT
    • Copy and paste

    With Cernel

    Every product written in one run, from its full record and your rules

    Your brand voice and rules are set once, and every agent follows them on every product.

  • Copy

    Instead of

    Writing every title and description by hand, on top of the next launch

    • The supplier's text
    • A style guide nobody opens

    With Cernel

    Titles and descriptions written in your voice, for every new product

    One agent per field writes from the product's data and images, in the tone you describe.

  • Filters

    Instead of

    Products vanishing from filters because fit or occasion is empty

    • Bulk edits
    • Whatever the supplier sends

    With Cernel

    Every attribute filled, from your own option lists

    Agents only pick from the options you define, so a shopper's filter finds the whole range.

  • Trust

    Instead of

    AI copy that sounds like AI, or promises what the product cannot do

    • Rewriting it
    • Not using it

    With Cernel

    Nothing goes live you have not chosen to let through

    You choose which values go live automatically and which get a review step; review steps check every value and only ask a person when something fails or needs a decision.

How it works

One agent per field, set up once, run on every product.

An agent is one saved rule for one field: what to write or pick, in which tone, from which data. Describe it in everyday words, test it on your own products, and from then on it fills that field on every product in the category. Pick an agent to see it.

Upper materialMulti selectShoes › Sneakers

What should your agent do?

Pick every material the upper is made of, from our material list. Read the supplier data and the product photos.

UsesSupplier dataProduct imagesMaterial list

Run test5 of your products

  • Court sneaker, Cream
  • Runner, Sand
  • Canvas low, Ecru
  • Court sneaker, White
  • Trail runner, Moss

Apply feedback

CernelShoes › SneakersRuns on every new product
ProductColourUpper material
Court sneaker, CreamCreamLeather, Suede
Runner, SandSandMesh, Suede
Canvas low, EcruEcruCanvas
Court sneaker, WhiteWhiteLeather
Trail runner, MossMossMesh, Synthetic

What agents can do

Write
Titles, meta titles, descriptions, search keywords and care instructions.
Write with layout
Descriptions with headings, paragraphs, bold and lists.
Pick one
One value from your own list, such as skin type or fit.
Pick every one that fits
Every value that applies, such as materials or occasions.
Research
Facts and product photos found on the web, on the sites you allow.
Make images
New images, such as styled or lifestyle shots, with alt text and file names.
Choose the best
The best of several candidates, such as the cleanest packshot.
Working together
One agent per field and category. An agent can build on what another wrote, and Cernel runs them in the right order.
  1. 1

    Describe the rule

    Say what the field needs in everyday words. Point it at the product data, the images, other fields and your brand voice.

  2. 2

    Test on your products

    Run it on a few of your own products. See each value with the reasoning behind it, and keep refining. Every change is a version you can go back to.

  3. 3

    Run it

    On any selection of products, only on empty fields if you like, and in every language you sell in.

  4. 4

    Keep it running

    An automation runs the agents on every new product as it arrives, or when the attributes it depends on change.

Reviewed before it goes live

One invented claim is worse than an empty field.

You choose which values go live automatically and which get a review step; review steps check every value and only ask a person when something fails or needs a decision. Here, a step written in plain words holds a highlight that promises a waterproof upper the product data does not support.

What you get

Complete products you can trace, in every language, back where you sell.

  • Every value traceable

    Each value shows whether an agent wrote it, it came in with the product or a person typed it, when it changed and its earlier versions, which you can restore. Every AI-written value shows what it was based on and the reasoning. You see how complete each field is, per category and market.

    Agentic review
  • Every language you sell in

    Per language, each value is written fresh or translated from a language you pick, by that language's own rules, and translated values go through the same checks.

    Translation and localization
  • Back where you sell

    Approved values go back to your shop or PIM, typically within a minute, for the systems we integrate with. Anything else gets a file in its own columns, or reads the changes through the API.

    AI PIM

What teams get back with Cernel

All customer stories
  • Tiffany Lighting Direct

    Tiffany Lighting Direct gets a new supplier range live in days, not months

    to get a new supplier range live
    Days
    products from 20+ brands
    13,000+
    extra hires needed
    0
    Read the story
    A stained-glass table lamp on a wooden table in a quiet cafe
  • Firtal Group

    Firtal Group added a thousand extra hands without adding headcount

    products enriched
    +25K
    organic traffic to product pages
    +20%
    faster time to market
    +80%
    Read the story
    In the warehouse at Firtal Group
  • Molly & My

    Molly & My builds every market on one foundation

    products enriched across 8 markets
    20,000
    faster time to market
    4x
    organic traffic to product pages
    +29.3%
    Read the story
    A stack of folded knitwear in low warm sunlight

Questions

Product data enrichment, answered.

  • What is product data enrichment?

    Product data enrichment turns a thin supplier record into a complete product: the attributes shoppers filter on, the copy they read, the images and the fields each channel needs. In Cernel, AI agents do that work attribute by attribute, from your own data and rules, and you decide what goes live.

  • Where does Cernel get the values from?

    From the product's own data and images, the fields other agents already filled, and the brand voice and product rules you add as text or images. Research agents also look on the web, on the sites you allow, matched by an identifier such as GTIN, EAN or SKU. Agents that pick a value only choose from the options you define.

  • Which AI models write the values?

    For writing and picking values you choose Google, OpenAI or Anthropic, and Cernel picks the model. Images are made with a Google or an OpenAI image model.

  • Will enrichment overwrite values my team already wrote?

    Only if you want it to. You can run agents on empty fields only, and with review on, every new value waits for approval with the reasoning behind it. Every earlier version of a value can be restored.

  • Can Cernel write alt text for product images?

    Yes, for the images Cernel makes. You describe how alt text and file names should read once, and each new image gets its own, sent to your shop with the image.

  • How does Cernel work with our PIM?

    Cernel is the AI layer that fills your product data: agents fill the attributes and write the content, your checks and your team decide what goes live, and the finished values go back to your PIM or shop, or out as a file or through the API.

Send us one thin supplier sheet and your brand guide.

See every attribute come back filled, and the titles and descriptions written in your voice, waiting for your approval.

Book a demo