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Häufig gestellte Fragen

Which modules does Epicor Kinetic offer?
Typically, Epicor Kinetic includes modules for financial accounting, order management, warehousing, purchasing and master data. Industry-specific extensions (PPS, CRM, DMS) are often optional — the vendor profile above shows the exact scope of functions. Practically relevant AI modules today are demand forecasting, predictive maintenance, invoice OCR and conversational UIs for back-office staff.
What are the hardware requirements of Epicor Kinetic?
For cloud deployment, modern browsers are all you need. For on-premise installations, server requirements vary depending on user numbers and document volume — the vendor provides detailed system requirements, often with recommended configurations for 25, 50, 100 or 250 users. Practically relevant AI modules today are demand forecasting, predictive maintenance, invoice OCR and conversational UIs for back-office staff.
How does data migration from an old ERP to Epicor Kinetic work?
Data migration typically runs in 3 phases: mapping (old vs new data model), cleansing (duplicates, master data quality) and a test migration with validation. Specialised migration service providers: ERP integration providers. Practically relevant AI modules today are demand forecasting, predictive maintenance, invoice OCR and conversational UIs for back-office staff.
How expensive is the annual maintenance for Epicor Kinetic?
On-premise maintenance typically runs at 18–22% of the licence costs per year and covers updates, hotfixes and phone support. Cloud ERPs include maintenance in the subscription price, so there is no separate maintenance contract. Over a typical system lifetime this recurring cost adds up to a significant share of the total cost of ownership, so budget for it from year one.
Which well-known reference customers does Epicor Kinetic have?
Vendors usually list reference customers on their own website — for specialised industry ERPs, 10–50 showcase customers are well known. Industry-specific references should be requested specifically before making a selection. Practically relevant AI modules today are demand forecasting, predictive maintenance, invoice OCR and conversational UIs for back-office staff.