The AI Translation Engine
OpusNext's AI Translation Engine reads each system's structure - tables, fields and custom extensions - infers how every element maps to commerce concepts, transforms the data both ways, and re-maps automatically when your ERP changes. It is the mechanism that makes "any ERP" real.
How it works
What you get
Reads the real schema
Inspects live tables, fields, units and custom extensions - not a generic template - so your actual data model is understood.
Generates the mapping
Infers how each field maps to products, prices, customers and orders, and proposes transformations validated against real records.
Transforms both ways
Normalises units, price lists and structures so the ERP and the storefront always agree, in both directions.
Self-heals on change
When a schema changes or a field is added, the engine detects the drift and re-maps automatically - a log entry, not a support ticket.
AI Translation Engine — common questions
Is AI mapping reliable enough for pricing data?+
Mappings are validated against real records and money-touching flows can require human approval, so in practice it is more reliable than a hand-maintained spreadsheet.
What happens when my ERP gets patched?+
The engine detects schema changes, regenerates affected mappings and re-validates - the self-healing behaviour that separates it from static connectors.
Does it replace integration consultants?+
It replaces the field-by-field work. Scope, business rules and process decisions still benefit from people who know your operation.
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