Fejér County
AI automation in Székesfehérvár
In Székesfehérvár, AI automation takes over the data movement between production and logistics: it keeps site stock in sync, answers B2B order-status questions on its own, matches supplier invoices line by line, and enters data into customer portals. For companies in the industrial parks that is 6–12 hours of admin a week.
Székesfehérvár is built on electronics and engineering manufacturing, with large industrial parks and logistics centres along the motorway and the trading firms that serve them.
Where the time goes here
- Stock figures from two sites never agree, and the difference is hunted down on Monday.
- B2B customers call every day to ask where their order is.
- Supplier invoice checking is a line-by-line manual comparison.
- The same data the system already holds is typed into customer portals by hand.
- In the warehouse the picker works with both hands and should be reading a list at the same time.
Similar solutions
- Multichannel stock & price sync (eMAG/Alza)A sale on any channel deducts stock everywhere within 3 seconds, ruling out stock-out penalties.4–8 h/week
- Order status and delivery updates for resellers on WhatsAppPartners ask where their pallet is and get the live answer from the ERP and carrier; changes are handled two-way without a call.4–8 h/week
- 3-way matching (invoice vs PO vs delivery note)Compares the invoice with the approved order and warehouse receipt, filtering overbilling and invoice fraud.4–8 h/week
- AI-RPA robots for closed portals & legacy ERPsLogs into closed government portals (e.g.4–10 h/week
- Hands-free warehouse voice pickingThe picker receives instructions in a wireless earpiece and confirms by voice, speeding up picking by 30%.6–12 h/week
- Weekly & monthly autonomous executive reportsEvery Monday 7:00 it combs finance, sales and CRM data and delivers a formatted executive PDF brief to decision-makers.3–5 h/week
Frequently asked questions
Does it work across several sites?
Yes. The site is just a field: the same process runs everywhere, with separate permissions and separate reporting per location.
What if an integration fails overnight?
Error watching is built alongside it: the failure is retried, and if it still fails an alert goes to the responsible person. The process does not go quiet.
Who is responsible for the data?
The data stays yours, in your own systems. We receive scoped access under contract, and you withdraw it when the project closes.
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