📅 Wednesday, July 8th 2026
🕚 11:30 – 12:10 CET
💻 Live webinar
Product data is complex. Scaling it is even harder.
Managing product data today means juggling multiple sources, increasing volumes, manual inputs, and constant inconsistencies across teams and channels.
Data comes from PDFs, packaging, suppliers — then gets reworked, adapted, and redistributed across multiple markets and formats.
The result?
Time lost, errors multiplied, and product launches that take longer than they should.
Generic AI tools fall short when it comes to product data
There’s no shortage of AI tools.
But when it comes to product data, most of them stay generic… and disconnected from your actual constraints. If you’re managing Beauty, Personal Care or OTC products, you know the reality is different: complex data models, strict requirements, regulations, retailers specificities, market rules…
On July 8th, we’re hosting a session focused on one thing: bringing clarity to AI through concrete, real-world use cases applied to your product data.
See how AI actually works for product data
In this 40-minute session, we’ll focus on practical applications used by to performing Beauty, Personal Care & OTC brands that deliver measurable impact.
Learn how to:
- Turn unstructured data (PDFs, packaging, documents) into publication-ready product information
- Reduce manual input and eliminate repetitive tasks
- Ensure consistency across teams, markets, and channels
- Detect errors before they impact your product listings
- Scale your product data operations without increasing workload
Why attend this webinar?
- Reduce your time-to-market without adding complexity
- Gain a clear view of where AI creates real value in product data
- Discover use cases tailored to your industry constraints
- Eliminate repetitive, manual product data tasks
- Launch faster with more reliable, consistent data
- Maintain control across markets, channels, and formats
Webinar details
📅 Wednesday, July 8th 2026
🕚 11:30 AM CET
🎥 Can’t attend live? Register anyway to receive the replay.
