Mapping Table
A Mapping Table is a configurable ERP tool that defines how incoming data from external systems, such as carriers, customs, or accounting platforms, is aligned with corresponding internal ERP fields. It acts as a translation layer, converting variable data formats, field names, or codes into a standardized structure recognized by the ERP. This mapping is essential for smooth data exchange, system integration, and process automation in logistics environments with diverse digital interfaces.
How Mapping Tables Work in Logistics?
When data is received from an external system, via EDI, API, or flat file, the ERP references the mapping table to interpret each field correctly. For example, a carrier’s term “DestinationPort” may map to “Port_Code” in the ERP. These mappings ensure data flows into the right locations without manual correction. Administrators can define, update, or expand mapping tables based on integration needs, making them flexible for changes in partner formats or compliance rules.
Logistics Management in ERP Systems
Resource Allocation
Mapping tables reduce manual data correction efforts, freeing up technical and operations staff to focus on higher-value logistics tasks and exception management.
Process Optimization
Standardized data mapping automates workflows such as booking confirmations, milestone updates, or cost postings, significantly speeding up transaction processing.
Supply Chain Coordination
By harmonizing formats from multiple carriers, agents, and customs systems, mapping tables improve interoperability across the extended supply chain.
Data-Driven Decision Making
Accurate, clean data imported through mappings ensures more reliable analytics, reports, and dashboards, powering confident decisions at all operational levels.
Performance Evaluation
Error logs tied to mapping failures can be reviewed to refine integration logic, improve data quality, and monitor system performance over time.
Conclusion
Mapping Tables play a pivotal role in making ERP systems integration-ready for logistics operations. They enable structured, automated communication between internal platforms and external partners, reducing friction, ensuring accuracy, and supporting scalable, digitized freight workflows in a connected logistics ecosystem.