Product data management without the typing: 200 suppliers send price lists — nobody keys them in anymore.
Syntact reads price lists, catalogs, and change notices in any format, maps them to your article model, checks duplicates against your article master, and keeps your ERP and PIM current for approval. Your team reviews — instead of typing.
Your supplier raised prices weeks ago. Your system still doesn't know.
Not because your data team is slow — but because between the supplier format and your article master sits a media break that people have been bridging by hand. Every pricing round, every update.
The new price list arrives as a PDF, the condition change as an Excel file, a 4,000-article catalog on top — and then someone types it all in by hand: cost price, RRP, tiers, attributes. Article by article. And next week, the next update lands in the inbox.
The supplier raised prices on the first of the month, your system still shows the old one: the article keeps selling normally — just with a silent negative margin. You find out months later at year-end close. If at all.
EDI only pays off at high volume. The other 200 suppliers send price lists as PDFs and Excel files — and for those there is no import path, only typing. That's exactly where your article master data goes stale fastest.
Created once via the EAN, once via the supplier article number, once by hand: without duplicate checking there is no golden record — and every report, every order, and every price depends on which of the three records someone happens to hit.
An outdated cost price never costs just one typo.
Manual master data maintenance has two built-in costs: the backlog that never gets caught up — and the silent errors it regularly writes into your article master. Both grow with every pricing round.
A shifted decimal, packs confused with pieces — or the price list simply sits in the backlog. In the maintenance queue, neither gets noticed. The article carries the stale state into the shop, the price list, and every order.
An outdated purchase price doesn't trigger an error message. It just keeps selling for months — on every order, in every channel. Master data errors are the most expensive kind, because nobody reports them.
Weeks pass between 'price list received' and 'price list entered.' During that time, purchasing calculates with old conditions and sales quotes old prices — on data that stopped being true a while ago.
The same article created three times, attributes sometimes maintained, sometimes empty, units depending on who typed them: without duplicate checking, the dataset gets worse with every update — and a golden record stays out of reach.
What does master data maintenance cost you — the cost nobody questions?
A conservative calculation: pure maintenance time only. Margin lost to outdated purchase prices, quotes calculated on stale data, and the cleanup cost of duplicates aren't even counted yet.
Approve updates instead of entering them.
No supplier portal, no mandatory format, no re-educating your suppliers: price lists and catalogs keep arriving the way they arrive today. Only the data entry is taken over by AI — embedded in your existing system landscape.
An Excel price list, a PDF catalog, Datanorm, BMEcat, or the attachment in a supplier email: Syntact monitors the intake continuously — nobody converts anything, nobody builds mapping files. The 40-line update just like the 40,000-article catalog.
The AI identifies articles, attributes, units, tiered prices, and variants — and maps everything to your article model. Every record is matched against your existing master via duplicate checking: existing articles are updated instead of created again, and missing attributes are enriched with their source.
Your team sees the finished update as a proposal: changed prices, new articles, flagged exceptions — next to the original source. Approve, and the golden record in your ERP and PIM is current again. Weeks of typing become minutes of control.
Approval stays with your team: no update lands in the master without the okay of your data owners. The AI proposes — people decide.
Import tools need clean files. Syntact turns any price list into clean master data.
Extracted rows that nobody has checked against your article model, existing data, and price logic are only half the journey. The approved golden record in your ERP/PIM is the goal — everything before that is an intermediate step.
PDF price lists, Excel in any column logic, Datanorm, BMEcat, attachments straight from email: Syntact reads whatever your suppliers send. EDI stays where it pays off — for the 200 suppliers without EDI, Syntact takes over.
Everything is mapped to your product groups, attributes, and units — not to a standard schema that someone has to bend back into shape afterwards. Your data logic stays the reference, not ours.
Every article is checked against your existing data: EAN, supplier article number, description. Existing articles are updated instead of duplicated — three records become one golden record, and the master gets cleaner with every update.
Syntact fills missing attributes from the catalog and other supplier documents — and shows where every value came from. No silent guessing: every enrichment stays traceable.
The AI proposes — people approve. An unclear unit, a suspicious price jump, a possible duplicate: flagged and put in front of your team for a decision, with the original source right next to it.
Syntact is not a PIM replacement and not another data silo: Akeneo, Pimcore, SAP, Dynamics, or JTL stay in the lead — Syntact is the supply layer that finally keeps them reliably up to date.
Your ERP/PIM stays. Syntact keeps it current.
Price lists come from the inbox, verified updates land in your ERP and PIM — via API or standard interface, with your article master as the reference. No system migration, no additional data silo.
We build missing connectors for free — contractually guaranteed. Compatible with anything that has an API or an import format for article data.
Master Data Pilot: your first supplier price list fully entered — in 14 days.
A pilot on your real price list intake, with your article model and your team — on terms where doing nothing is the most expensive option.
If your product data pipeline isn't running in production after 90 days, we keep working for free until it is.
You pay no platform license as long as the pilot isn't in production. The risk sits with us.
Price list intake, article model mapping, and your approval workflow — set up for you, not sold to you.
90 days of direct access to the person building your use case — no ticket system, no call center.
If the pilot doesn't go to production, you pay only half the implementation.
Missing an interface to your system? We build it for free — contractually guaranteed.
The mechanism is already running — at real customers, with real data.
This exact use case runs in production at McSHARK: product, pricing, and logistics data from the most diverse sources, harmonized in one semantic data layer — with ROI from the very first use case. Syntact is the AI foundation platform for enterprises: one foundation for every use case, operated in the EU, all the way to on-premises.
- Price lists, catalogs, and the article master in one semantic data layer
- Permissions & audit log at every level
- After master data: order intake, invoice checking, knowledge assistant — same platform
"With Syntact, we successfully unified all our product, pricing, and logistics data and achieved ROI from the very first use case."
30 minutes. Your price list. A finished master data update.
No slide deck: bring a real supplier price list or catalog — we'll show you how it becomes verified article master data. On your data, not on our demo dataset.
- Feasibility on your price list intakeA live demo based on your price lists — formats, edge cases, everything.
- A concrete 90-day pilot planSteps, timeline, and what we need from your IT (very little).
- Pricing in black and whitePlatform, implementation, guarantees — no surprises.
- An engineer, not a salespersonYou talk to the solutions architect who will build your pilot.
- What does automated product data management mean?
- Supplier price lists, catalogs, and change notices — as PDF, Excel, Datanorm, or BMEcat — are read and structured by AI: articles, attributes, units, tiered prices, variants. The data is mapped to your article model, matched against your article master via duplicate checking, and written to your ERP and PIM for approval. Your team reviews and approves — and the article master data stays continuously current, without typing.
- We have EDI with our biggest suppliers. Why Syntact then?
- Keep EDI — but it only pays off at high volume: the setup, coordination, and maintenance are only worth it for your top suppliers. For the 200 smaller ones sending price lists as PDFs and Excel files, there's this. Syntact is the automation path for the long tail — without a single supplier having to change their format.
- Does it work with Datanorm and BMEcat?
- Yes. Structured formats like Datanorm and BMEcat are processed directly — including the cases where suppliers interpret the standard creatively. The bigger lever, though, is the unstructured formats: PDF catalogs, Excel price lists with ever-changing column logic, and email attachments that have no import path at all today.
- Our article model is special — variants, tiered prices, custom attributes. Does that fit?
- That is exactly what the mapping is for. During the pilot we define your target model together: product groups, attribute sets, unit logic, variant structure. Syntact maps every price list and every catalog to that model — not to a generic schema. Anything that can't be matched unambiguously is put in front of your team for a decision instead of guessed.
- What is a golden record — and how do we get there?
- A golden record is the one reliable dataset per article: current cost price and RRP, verified attributes, one unit logic, no duplicates. Syntact doesn't build it in a big-bang project, but continuously: every update is matched against your existing data via duplicate checking, conflicts are put in front of your team for a decision, and every approval makes the master cleaner.
- What happens with duplicates and articles that already exist?
- Every article is checked against your existing data — via EAN, supplier article number, and description matching. Existing articles are updated, for example with new prices, new ones are created, and uncertain cases land flagged in the review queue. The master grows in a controlled way instead of wild — duplicate checking included, on every single update.
- Honestly, our data is a mess. Do we need to clean up first?
- No — the cleanup is part of the mechanism. Matching against the article master surfaces duplicates and gaps, enrichment fills missing attributes with their source, and every approval improves the dataset. Whoever waits for clean data before automating waits forever. It works exactly the other way around.
- How is this different from a PIM project?
- A PIM project gives your product data management a better home — but it doesn't fill itself and doesn't keep itself current. Syntact doesn't replace a PIM and doesn't introduce one: your ERP or PIM stays in the lead, and Syntact automates the ongoing supply — from the supplier price list to the approved record. If you already run Akeneo or Pimcore, this makes them more valuable, not redundant.
- Day-to-day business is running at full capacity — we have no time for a project.
- The pilot is built to run alongside your day-to-day business: our solutions architect sets up the pipeline, your team provides one price list, a master data extract, and feedback in short sessions. And the best moment is right now — the price list sitting in your inbox today will otherwise be typed in by hand again.
- Who do I need internally — and what do I tell management and IT?
- For management: one calculation — maintenance hours per year times hourly rate, plus the margin lost to outdated purchase prices, against a license from €800 per month that only starts once you're in production. For IT: little effort — a price list intake (e.g. a mailbox), an interface or import format for your ERP/PIM, and a master data extract. Our solutions architect does the setup. And for both, there's the demo on your real data.
- What about data protection and our supplier data?
- Syntact runs GDPR-compliant in the EU — in your own cloud or on-premises if you prefer. Price list, condition, and article data stay in your systems, and access follows your permission model. We provide the documentation your data protection officer and purchasing department need.
- What does automated product data management cost?
- The platform starts at €800 per month — and the license only starts once you're in production. Setup, price list intake, and the ERP/PIM connection are included in the pilot package, and implementation is covered by the 50/50 guarantee. A single pricing round with a few thousand positions costs more to enter manually than the platform costs in a whole year.
Not just price lists: orders arrive as PDFs and emails too.
The same platform monitors your order intake and creates verified sales orders in your ERP — for approval, never behind your team's back.
Sales order automationThe next pricing round is definitely coming. The question is who enters it.
Minutes of review instead of weeks of typing — and no more cost price silently eating your margin for months.