Field Level Mapping

Map every field with precision — so partner documents match exactly what’s required.

Trading partners rarely want the same document in the same structure. Field Level Mapping gives you precise control over how each value is translated, transformed and validated — keeping documents compliant across partners while your internal data stays consistent.

The problem it solves

A “close enough” mapping isn’t close enough in EDI:

• fields exist in different places across formats

• partners require specific codes, qualifiers and segments

• totals and tax rules depend on correct field placement

• missing or mis-mapped fields lead to rejects

• small differences create large operational impact

Field Level Mapping reduces rework by getting the details right.

What Field Level Mapping does

Map data field-by-field

Control exactly how values are mapped between your internal data and partner-required structures.

Apply transformations and rules

Set logic such as:

• formatting dates and decimals

• conditional mapping (if X, then Y)

• default values where partners require them

• code translations and lookup tables

• rounding rules and calculated fields (where applicable)

Support partner-specific variations

Maintain mapping behaviour per trading partner without rebuilding your whole integration approach for each one.

Improve validation and success rates

Precise mapping reduces rejects and makes troubleshooting faster when exceptions do occur.

How it works

1) Define source and target structures
Your internal data model is mapped to the partner document structure.

2) Configure field rules
Apply transformations, defaults, and conditional logic per field.

3) Validate outputs
Ensure required fields are present and formatted correctly before sending.

4) Deploy and monitor
Mappings are used in live flows, with traceability and error handling available when required.

Key benefits

• Fewer rejects: accurate outputs that meet partner rules

• Faster onboarding: reuse mapping patterns while handling variations

• Less technical debt: partner differences don’t become spaghetti

• Easier troubleshooting: pinpoint problems at field level

• Scales cleanly: add partners without mapping chaos

Best-fit use cases

• Retailers with strict EDI validation requirements

• Suppliers onboarding multiple trading partners with variations

• Complex documents (pricing, invoicing, despatch)

• Teams needing controlled transformations and code mapping

• Environments where accuracy and audit trails matter

FAQ

Is Field Level Mapping different from template mapping?
Yes — Field Level Mapping gives granular control over how individual values move and transform between source and target structures.

Can mappings be different per trading partner?
Yes. Partner-specific mapping rules are a key part of handling real-world EDI requirements.

Can we apply conditional logic and defaults?
Yes — rules like conditional mapping, default values, formatting, and code translations can be applied as needed.

Does this help with validation failures?
Yes — precise mapping reduces missing/incorrect fields, which are a common cause of rejects and validation errors.