Ideas, decisions, changes.
We write about how we're building Noobit and what we're learning from managing catalogs at scale.
What your team knows, in the product record: expert notes turned into facts with a source
In every business there's someone who knows the product better than any spec sheet. How to get what your team knows into the product record — by dictating it in a voice note — so it arrives as facts with their source, not as a comment lost in a chat.
Ingredients, allergens and warnings: what a product page can't make up
A description can be written better or worse. Not the ingredient list, the allergens or the warnings: either they're what's on the packaging, or they're a problem. Which data leaves no room for creativity, why AI tends to fill it in and how Noobit handles it.
Your categories, not your store's: mappings instead of guesswork
Every supplier has its own name for the same thing, and every store has its own tree. Why it pays to have your own categories, translate them to each destination through clear mappings and never let anyone — not even an AI — guess where a product goes when you publish.
One product record, several outputs: the same catalog in CSV, for Amazon or for your ERP
Your store wants its format, your ERP a CSV with its columns and Amazon its own file. Redoing the catalog for each destination is the shortest road to three versions of the truth. How to send the same product record through several outputs without touching it.
Sale prices without surprises: the was price and the current price, between your catalog and your store
A sale has two prices: the one paid today and the one shown crossed out. If your catalog keeps only one, sooner or later it shows a price nobody charges or removes a sale by accident. How both prices travel between Noobit and your WooCommerce store.
How to automate your ecommerce catalog without losing control
Automating your catalog isn't handing the keys to a robot: it's deciding which steps you delegate and which you supervise. An honest guide to what you can really automate — from the supplier's messy CSV to the published product page — and how to stay in control along the way.
Why your AI should research before writing product pages (instead of making them up)
An AI that fills in the gaps sounds great… and makes up what it doesn't know. The difference between plausible text and correct content comes down to a step almost nobody takes: researching before writing.
Anatomy of a product page that sells and ranks
A good product page does two jobs at once: it convinces the people reading it and gets found by the people searching for it. These are the elements that make it up — title, description, attributes, images and structured data — and how to get them right without losing your mind when you have thousands.
Supervised pipeline vs. autonomous agent: why we don't hand AI the keys
An autonomous agent running your catalog sounds like the future. But autonomous agents fail silently, and a live catalog is unforgiving. Why we chose a supervised pipeline, stage by stage, and what you gain from that decision.
From messy CSV to publish-ready catalog: what normalization really does
Your supplier's CSV is a minefield: EANs broken by Excel, columns that change names, products with no identifier, duplicates. Here's what the least glamorous and most important stage of all does, step by step: normalization.
Automatic white-background product photos: from supplier chaos to clean packshots
Supplier photos come on colored backgrounds, with reflections, badly cropped and no two alike. Why consistent images sell (and marketplaces require them), and how to automate the move from chaos to clean packshot.
How to write a brand voice an AI can live and breathe
Good brand voice guidelines aren't lists of "use / don't use". They're concrete examples, ideally in contrasting pairs. A practical guide to getting AI to write like you, not like everyone else.
Catalog drift: why your products are out of sync (and how to fix it)
Your catalog doesn't break all at once: it degrades on its own. A description here, a price there, a photo that changed in one place but not in another. "Catalog drift" is the silent enemy of a growing ecommerce business. Why it happens and how to stop it.
Variable products without the headache: grouping simple products into variations (size, color, EAN)
Your supplier sends every size and color as a separate product; your store wants them grouped into one variable product. Doing that translation by hand is a nightmare. How it works — and where the traps are — when you turn simple products into variations.
One agency, ten catalogs: how to manage clients without drowning
Managing one client's catalog is work. Managing ten — each with its own store, its own voice and its own supplier chaos — is something else. How an agency keeps many catalogs going at once without every client becoming a project from scratch.