scandiweb
Free webinar on product data · 22 October · 10:00 GMT

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 deal with these every week. We'll show you where they start and what the fix looks like in practice.

Save your seat

Every attendee can request a free
PIM prototype after the webinar

Can't join live? Register, and we'll send you the recording.

Ana Luisa Taylor and Maris Skujins of scandiweb
Ana Luisa Taylor
Key Account Manager
Maris Skujins
Head of Digital Commerce Strategy
Trusted by 700+ leading brands worldwide
PUMAOM Digital Solutions / OlympusBoy Scouts of AmericaThe New York TimesSamsungAcerAdobe

What we'll cover during the webinar

  • Where fragmented product data costs you hours and revenue
  • What it looks like when all your product details are in one place
  • Examples of common product data problems being solved
  • Why AI gives wrong answers when your product data is inconsistent, and how to fix it
  • 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 for your product details

A product information management system, or PIM, keeps every detail about every product in one record. Descriptions, images, specifications, prices, translations. Your website, your marketplaces, your partners, and your printed catalogs all read from that record, so you change a detail once, and every channel picks it up.

Pimcore is one of the main platforms we build these on, and the one every example in this session runs on. scandiweb is also a Pimcore Platinum Solution Partner.

Brands using Pimcore
  • Burger King
  • Audi
  • Gabor
  • Nissan
  • Vespa
  • fritz-kola
  • Suzuki
  • Wainbee
  • Statista
  • Beauty Works
  • Raiffeisen Salzburg
  • Rockar

Your product details are in too many places

Your product details are spread across a spreadsheet, an ERP extension, a shared drive, and whatever your team built to fill the gaps. Each one shows a different version.

One product
Running shoes
  • 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

  • 1
    Time to market

    Every launch waits while someone finds, checks, and retypes the data.

  • 2
    Channel and marketplace revenue

    Every channel asks for different details, and nothing tells you what is missing until a product is rejected or returned.

  • 3
    The growth ceiling on new markets

    You update a product, and the other languages don't update accordingly.

4
Your AI plans are waiting on product data

AI works from the data you already have, so when your product data is inconsistent, the results are too.

80%+
say AI has not changed their profit
5.5%
say AI is actually making them money

What the fix looks like

We'll take each of the four problems and show how a working Pimcore system handles it. Every example runs on real product records.

Before

A partner portal rejects your product file because a field they require is empty

In the system
  • Required fields checked before export
  • Gaps flagged where they happen
  • Corrections made once
After

The product goes live, and the fix holds for every product after it

One system, and hours of work became minutes

Our work with Läderach, premium Swiss chocolatier, 250+ stores worldwide.

201
times the same product is entered
New markets
without extra manual work
Now live
products the ERP used to block
Before

Every market had its own product code, so the same product was entered again and again.

After

Now it is filled in once, and every market updates automatically.

Who should join this webinar

  • Business leaders

    CEO, MD, COO, CFO, or CMO. The cost reaches you as thinner margins and missed launch dates.

  • eCommerce and digital leads

    Head of eCommerce or Digital, with new channels and markets on hold because the product data isn't 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 retyping details that already exist elsewhere.

Hosted by scandiweb's PIM experts

Ana Luisa Taylor, Key Account Manager
Ana Luisa Taylor
Key Account Manager

Ana leads scandiweb’s PIM practice and has delivered 50+ product data projects for brands and manufacturers, staying on each one from the first audit until the system is live.

Maris Skujins, Head of Digital Commerce Strategy
Maris Skujins
Head of Digital Commerce Strategy

Maris works with retailers and manufacturers to align their commerce systems, from the storefront to the ERP and the PIM in between. He has led that work for Zumiez, Wienerberger, and ABA Labels.

What you'll get after the webinar

  • The real cost

    A way to estimate what scattered product data costs you in hours, and the cost in revenue

  • How the fix works

    Each problem handled in a working Pimcore system, so you know what to ask for from your own team or vendor

  • What changed

    Before-and-after with real numbers from a brand running multiple markets

  • A free PIM prototype

    Built on your own catalog and yours to keep – request it after the session

Free webinar · 22 October · 10:00 GMT · 60 minutes

See the cost of product data problems and learn the fix

In one hour, we'll walk through four common problems and how each one is fixed in Pimcore. Afterwards, you can request a free PIM prototype built on your own catalog.

Can't join live? Register, and we'll send you the recording.

scandiwebPimcore
Pimcore Platinum Partner