Frequently Asked Questions
Welcome to our FAQ section!
Here you’ll find clear answers about Naratix’s catalog automation solutions, integration process, and business impact, so you can see how to get up and running fast and maximize ROI.
What exactly does Naratix do for my ecommerce catalog?
We take whatever you’ve got, half‑filled spreadsheets, messy CSVs, PDFs, image folders, and turn them into seller‑ready listings. First, we clean up categories so every product sits on the right shelf. Next, we fill in missing specs like dimensions, materials, and certifications so filters and search actually work. We generate titles and descriptions that match your brand voice, polish photos for clarity and compliance, track competitor pricing shifts, and highlight gaps in your assortment. The end result is a single, polished catalog that your team can trust and shoppers can navigate.
Behind the scenes, our system also watches for new supplier uploads, nightly rule updates, and marketplace changes so your catalog never drifts back into chaos. You get all the benefits of a rock‑solid data team without hiring extra staff or wrestling endless spreadsheets.
How fast can we see the “after” version of our catalog?
If you send a small sample, 10 to 20 SKUs, we’ll deliver a side‑by‑side preview within 24 hours. You’ll see exactly what’s improved: missing specs filled, categories corrected, photos cleaned, copy generated. For larger catalogs of 100 000 to over a million SKUs, our overnight runs typically wrap up in 6-12 hours. That means you wake up to a fully enriched, error‑checked catalog instead of another pile of CSVs.
Once you’ve approved that “after” view, you can schedule full‑scale jobs as often as you like, weekly, nightly, or on demand. Every run follows the same process, so your catalog quality never slips, and you can time updates around product launches or big sales events.
Do we need to rip out our PIM or ERP to use Naratix?
Not at all. Think of Naratix as a turbo‑charger for your existing systems. We connect via SFTP, API, or whichever method you already use, then export cleaned data in the formats your tools expect, CSV, XML, JSON, REST. Whether you run Shopify, BigCommerce, Akeneo, NetSuite, or a custom platform, your workflows stay the same.
The only change is that instead of importing raw, error‑prone feeds, you point your system at Naratix’s output. Everything downstream, your site, marketplaces, analytics, benefits from cleaner, richer data without any custom coding or system overhauls.
How do you handle supplier files that are half‑empty or totally inconsistent?
We’ve built our intake layer to accept chaos. Blank columns, weird header names, PDF spec sheets, blurry yard‑sale photos, you name it. Our engine automatically detects field names, scrapes text from documents and images, and maps everything to your master template. If a column is empty, we look for the same data in other sources, manufacturer databases, public specs, even review sites.
You don’t have to do any prep work. Just drop in the files you already receive and let Naratix fill in the gaps. Over time, the system learns each supplier’s quirks so future uploads flow through without manual mapping.
What if regulations change or marketplaces update their rules?
We maintain a living rulebook that covers everything from EU nutrition labels to Amazon image guidelines, Prop 65 warnings, battery disposal icons, and more. Each night, our health‑check job scans your catalog against the latest rules and flags any SKUs that need updates.
You get a clear dashboard showing which products require attention and automatic fixes where possible. That means you avoid surprise delistings, compliance fines, or last‑minute panics when a new regulation kicks in.
How secure is our data while it’s in your hands?
Security is non‑negotiable. All data moves over bank‑grade TLS encryption and lives in region‑locked servers with AES‑256 encryption at rest. We enforce role‑based access controls so, for example, your finance team can see cost data while merchandisers only see product copy and images.
Every action, file upload, attribute change, export, is logged with user ID, timestamp, and details. You get a full audit trail for internal reviews or external audits, so you always know who did what and when.
Can Naratix keep prices and stock levels in sync during a flash sale?
Yes. You set your preferred update cadence, every 10 minutes, 30 minutes, or on demand, and we push delta updates to every channel automatically. When your flash‑sale flag goes up, those intervals shorten so “20 % off” or “only 3 left” badges appear everywhere within minutes.
That real‑time loop means you never oversell, margins stay protected, and shoppers always see accurate information, no manual spreadsheet juggling required.
How do we roll back a batch if something looks off?
Every enrichment run happens in a sandbox copy of your catalog. You review changes side‑by‑side, then click Publish when you’re ready. If you spot any issues after go‑live, hit Rollback, and we instantly revert to the previous version. It’s the equivalent of an undo button for your entire catalog, no data loss, no downtime.
Can we customize how Naratix processes our data?
Absolutely. Every business has its own quirks, custom attribute names, brand‑specific copy rules, unique packaging fields, or special compliance checks. During setup, we capture all those requirements and build them into your Naratix pipeline. As your needs evolve, you can tweak mappings, adjust rules, or add new checks without a new implementation project.
That flexibility means your catalog automation grows with you, not against you.
What do we need to get started and how involved is our team?
Getting up and running takes about two hours of your team’s time. We just need your current product feed, CSV, Excel, API, and any style‑guide notes or special rules you follow. We’ll walk you through how to share those files and explain any nuances.
After that, Naratix runs quietly in the background. You’ll get preview dashboards to review and approve, but there’s no daily firefight. Your team can spend more time on strategy and less time on spreadsheets.