AI product content
Ceramika Paradyż
Generative AI in the PIM and online shop of Ceramika Paradyż: product descriptions and translations prepared with LemonHub.AI.
Read case studyAI consulting for product data.
AI for content, data extraction, cleansing, assistants and compliance checks, starting with one use case.
When it makes sense
Your team retypes, translates and checks data instead of selling with it.
AI handles repetitive work on product data well, as long as it is clear where the data comes from, who checks the result and how the effect is measured. We settle that first, and only then choose the tool.
- New products wait for descriptions and translations before they can go online.
- Specifications arrive as PDFs, catalogues and supplier spreadsheets and are retyped by hand.
- The same attribute is written in different units and formats across sources.
- Sales and customer service search several systems to answer one question about a product or an order.
- Nobody can say which claims and AI texts were checked before publishing.
- Every new supplier means another round of manual mapping.
Our team in numbers
A team of 30+ experts and consultants.
Figures from our own projects.
- 30+experts and consultants
- 70+PIM and e-commerce implementations
- 10M+SKUs in our clients' systems
- 300+projects delivered
- 2010operating since
- 35+PIM implementations
- LemonHub.AI, our productdescriptions, translations and SEO tags from PIM data
- openProd, our productsupplier PDFs and spreadsheets into your PIM
Sources: LemonMind, November 2026
AI you can check
Every value shows where it came from.
In openProd, one click opens the row or page behind a value. Then your team decides.
Show in source
Every value links back to its row, column or page.
Compare
AI consulting, LemonHub.AI or openProd: which one do you need?
AI consulting is a service. LemonHub.AI and openProd are separate products: LemonHub.AI works inside your PIM, openProd prepares supplier data before it reaches the PIM.
| Criterion | AI consulting | LemonHub.AI | openProd |
|---|---|---|---|
| What it is | A service: we find, test and build AI use cases on your data | LemonHub.AI, built by LemonMind: AI tools inside your PIM | A separate product and brand at openprod.io |
| When it fits | You have a data problem and do not yet know which AI approach fits | Your data is in the PIM and you need content, translations or a shopping assistant | Supplier files must be imported, mapped and validated before the PIM |
| Where it runs | In your PIM, ERP, shop or a separate service, depending on the use case | Inside your PIM, integrated with Pimcore | A separate platform that works with Pimcore, Akeneo and Ergonode |
| What you get | A tested use case, then a process in daily use | Generated content that your team reviews | Supplier data ready for the PIM |
A consulting project can use LemonHub.AI, openProd or other tools where they fit. As of November 2026.
Where should AI start in your data?
30 minutes, no obligation. We look at your product data and pick one use case for a pilot.
Six areas
Six areas where AI works on your data.
Each area starts from one task on your data and ends with a process your team runs and checks.
How we work
Workshop, pilot, rollout.
- 01
Use-case workshop
A short workshop with your product, e-commerce and sales teams. We list the tasks where AI could help, pick one with a clear measure and check which data it needs.
ResultOne use case, its data and a measure - 02
Pilot on one data set
We run the use case on real data, for example one collection, one supplier or one product group. Your team reviews the output and we compare it with the agreed measure.
ResultResults on your data and a next step - 03
Rollout
If the pilot works, we extend it to more products, languages, suppliers or channels and connect it to your PIM, ERP or shop, with rules for review and monitoring.
ResultA daily process, approved by your team
Case studies
AI and product data in practice.
At Ceramika Paradyż, LemonHub.AI drafts and translates descriptions inside the PIM and online shop that LemonMind built.
PIM, DAM and e-commerce hub
Ceramika Paradyż
A central hub for product data and presentation, built on Pimcore.
Read case study
ETIM / BMEcat mapping
GTV
A central Pimcore system extended with ETIM classification, BMEcat export and the ETIM Mapper tool.
Read case studyFAQ
Before we pick a use case.
What does AI consulting at LemonMind cover?
AI for product data and e-commerce: translating and generating product content, extracting data from documents, transforming and cleansing data, assistants that match products to customer orders, data checks for the AI Act, green claims and other rules, and supplier data onboarding. Examples in automating work in PIM with AI.
Is this the same as LemonHub.AI?
No. LemonHub.AI, built by LemonMind, is a separate product: AI tools that work inside your PIM, such as AI.Marketer for content and AI.Assistant for shoppers. AI consulting is a service that starts from your problem; the solution may use LemonHub.AI, openProd, another tool or a model connected to your systems.
Where does openProd fit?
openProd is a separate product and brand at openprod.io. It imports, maps and validates supplier files before the data enters your PIM. When supplier onboarding is the use case, it is often the fastest route.
Can AI read our PDFs and data sheets?
Yes. AI reads PDFs, data sheets, catalogues and spreadsheets into attributes, and every value keeps a link to its source, so your team can check it. More on AI data extraction and cleansing.
Can an assistant pick products from a customer order or enquiry?
Yes. The assistant reads the enquiry or order, for example an e-mail, a PDF or a list of items, and uses the openProd MCP server to search your product database. For each item it proposes matching products, and your team checks the matches. openProd is a separate product and brand at openprod.io. More on AI assistants and agents.
Which AI models do you use?
We choose the model for each task and for your data rules. LemonHub.AI, for example, uses models from OpenAI, Google, Hugging Face and other providers.
Does AI publish anything without review?
No. We set up the process so people review and approve AI output before it goes live. AI-changed fields are marked and the change history is kept, which also helps with the transparency rules of the AI Act.
Are you a law firm?
No. A lawyer or your compliance team decides which rules apply to your products and markets. We build the data model and automated checks so those requirements can be met and checked in the data.
Where has LemonMind used AI on product data?
At Ceramika Paradyż, where LemonHub.AI drafts and translates descriptions for new products and collections inside the PIM and online shop that LemonMind built.
How do we start?
With a short use-case workshop, then a pilot on one data set. We agree the scope of the pilot and the rollout after the workshop, once we know the data. Background: how AI is changing PXM and PIM.
Start with one use case
Let's pick the first data task for AI.
In a free 30-minute call we look at your product data, documents or orders and choose one use case for a workshop and a pilot.
A 30-minute call with Olgierd Mrozik, CEO of LemonMind.
Book a 30-minute consultation30 minutes. Google Calendar opens in a new tab.Tell us how we can help.
Three required fields. About a minute.