
Nova 128 GB — Graphite
- Storage
- 128 GB
- Colour
- Graphite
- Display
- 6.1″ OLED
Turn raw supplier catalogs — spreadsheets, PDFs, APIs, even photos from the warehouse floor — into complete, validated, channel-ready product data. AI agents do the heavy lifting; your team reviews only what needs human judgment.
RawPhones, sneakers, fragrance, audio, home — every category arrives as abbreviations, missing attributes and inconsistent units. ProductBase normalises the data, writes the copy, and ranks the imagery, across the whole catalog at once.






Hover or tap a card to watch the raw supplier line become the finished listing.
The same pipeline runs whether you drop in one spreadsheet or ten thousand SKUs across PDFs and APIs. AI handles the volume; humans handle the judgment calls.
Files, PDFs, REST/GraphQL APIs, Shopify stores or manual entry — all in one pipeline.
Raw columns matched to 32 canonical semantic roles automatically, in six languages.
AI agents fill, verify, translate and optimise every field — with cited web evidence.
Humans approve only the low-confidence or flagged rows. The run pauses and resumes itself.
Shopify, Zid, Salla, Noon, Amazon, social media or your own store — every channel gets the version it accepts.
Agents read sales and rank after publishing, then propose the next change — bundles, prices, copy — for your approval.
Enrichment produces good data. The catalogue is where that data becomes a product record you can govern — supplier feeds land as rows, every change waits for a decision, and each destination is served the version it actually accepts.
Every source keeps its own import profile, run history, health view and held-rows queue — so a bad file is caught before the catalogue ever sees it.
Changes arrive as proposals, never as silent overwrites. Each one carries its source, confidence and reason, and waits for a decision.
One governed record per product, versioned, with the full history of who or what changed each field and why.
Each destination receives the version it accepts — field names, sizes, languages and images shaped per channel.
When two sources send the same barcode, the records are flagged and kept apart — never silently merged. A false split is visible, annoying and cheap to fix later; a false merge ships the wrong item.
They share one discipline: every value carries a confidence score, a source, and a reason — and anything uncertain is handed to a human instead of being guessed.
One example workflow · you choose which agents run, and in what order. Mapping Agent, Human Review Gate and the web-evidence, image-ranking and role-detection services run behind the scenes.
Six independent layers stand between a raw row and a published product. AI output below confidence — or failing a quality rule — is routed to human review, never shipped silently.
Pull from Shopify or any REST/GraphQL API, enrich through any workflow, and write the results straight back — with per-product error isolation so one bad row never blocks the batch.
Bring a messy supplier file to the demo. We'll run it through the pipeline live and hand you the enriched, validated output to keep.

The smarter way to turn product descriptions & supplier files into complete product listings in Arabic and English — in record time. Publish across multiple channels and intelligently monitor your products after launch to boost performance and drive more sales. fill the form now for early access and exclusive discounts.
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