Slow product launches,
hours of data entry, and returns
you could have avoided
If you sell thousands of products across several websites and markets, you know these problems. We'll show you what's causing them, what they cost, and how to fix them.
Every attendee can request a free
PIM prototype after the webinar
Can't join live? Register and we'll send you the recording.
What we'll cover during the webinar
- Where fragmented product data drains hours and revenue
- What it looks like when all your product details live in one place
- Real examples of common product data problems being solved
- Why AI gives wrong answers when your product data is a mess, and what fixes that
- How multilingual catalogs stay current as you add markets
- What a PIM project takes, and why it does not mean replacing your systems
- Live Q&A with the team
One place where your product details live
A product information management system, or PIM, holds every detail about every product in one record. Descriptions, images, specifications, prices, translations. Your website, your marketplaces, your partners and your printed catalogs all pull from that one record, so a change made once reaches all of them.
Pimcore is the platform we build these on, and the one every example in this session runs on. scandiweb is a certified Pimcore Platinum Solution Partner.
Your product details live in too many places
Your product details sit in a spreadsheet, an ERP extension, a shared drive, and whatever your team built to fill the gaps, and none of them agree.
- Partner portal
Upload failed, 1 required field empty
- From a distributor
“Is this price list still correct?” Sent in spring
- ERP, field updated
Website still shows the old value
Where it costs you
It shows up in four places, and nobody ever counts the total.
- 1Time to market
Every launch waits while someone finds, checks, and retypes the data.
- 2Channel and marketplace revenue
Every channel asks for different details, and nothing tells you what is missing until a product is rejected or returned.
- 3The growth ceiling on new markets
You update a product, and the other languages don't update accordingly.
AI works from the data you already have, so when your product data is inconsistent, the results are too.
What the fix looks like
For each one, we'll show a real example of how it is handled in a working system.
A partner portal rejects your product file because a field they require is empty
- Required fields checked before export
- Gaps flagged where they happen
- Corrections made once
The product goes live, and the fix holds for every product after it
A partner portal rejects your product file because a field they require is empty
- Required fields checked before export
- Gaps flagged where they happen
- Corrections made once
The product goes live, and the fix holds for every product after it
All four examples run in Pimcore, on real product records.
One system, and hours of work
became minutes
Our work with Läderach, premium Swiss chocolate, 250+ stores worldwide.
Every market had its own product code, so the same product was entered again and again.
Now it is filled in once, and every market updates automatically.
For whom is the webinar
- Business leaders
CEO, MD, COO, CFO, or CMO, seeing the cost in thinner margins and launch dates that slip.
- eCommerce and digital leads
Head of eCommerce or Digital, watching new channels and markets wait on data that is not ready.
- Technology and data owners
CTO or IT Director, working out whether your product data is ready for AI.
- Catalog and product teams
Catalog manager, product information lead, or localization manager, watching the hours disappear.
Who's running the session
Ana leads scandiweb’s PIM practice. She has delivered 50+ product data projects for brands and manufacturers, from the first audit through to the live system.
Maris heads digital commerce strategy at scandiweb. He shapes how companies like Zumiez, Wienerberger, and ABA Labels build and connect the systems their commerce runs on.
What you walk away with
- The real cost
What scattered product data costs you, in hours and in revenue
- How the fix works
See real examples of product data problems being solved
- What changed
Real numbers from a brand running multiple markets
- A free PIM prototype
Request one built on your own catalog, yours to keep after the session
See what your product data is costing you, and what fixes it
In one hour we'll show you four common problems and real examples of the fix.
Afterwards you can request a free PIM prototype on your own catalog.
Can't join live? Register and we'll send you the recording.
