Discover the Logistics ERP Integration
Glossary Terms

Get clear definitions of essential ERP and logistics integration terms. This glossary is your go-to resource for understanding the key concepts that drive smarter, connected supply chain operations.

Flat File Integration

Last updated: April 11, 2026
Logistics
F

Flat file integration is the process of importing and exporting data from CargoWise to other systems utilizing file formats such as CSV (Comma-Separated Values) or XML (eXtensible Markup Language). It enables logistics organizations to handle bulk data transfers without relying on real-time APIs, making it suitable for transferring shipping records, customer data, and inventory details with multiple partners.

This method is beneficial when dealing with legacy platforms or partners that lack direct system connectivity. Flat-file integration enables scheduled or ad hoc transfers, resulting in controlled and predictable data movement. Companies that follow CargoWise’s file format and mapping principles can reduce errors, preserve consistency, and simplify procedures. It is a low-cost, universally adaptable approach that promotes seamless collaboration throughout the supply chain. 

Frequently Asked Questions

It remains useful because it is simple, inexpensive, and generally interoperable with other platforms. Many partners utilize flat files to share massive datasets without encountering technical difficulties, making it a stable standard in logistical operations.
CargoWise creates templates for CSV or XML files that describe required fields and formats. These files can then be uploaded or exported in batches, providing for systematic data transfer with minimum manual reentry.
CSV files are lightweight, easily editable in spreadsheets, and ideal for quick bulk updates. XML allows sophisticated, hierarchical data structures, making it perfect for transmitting multi-layered information in an organized format.
The primary limitation is that it operates in batches rather than in real-time, which might result in slight delays in data updates. Incorrect formatting or mapping can also cause transfers to stall until they are fixed.
Automating bulk imports and exports minimizes repetitive manual data entry, lowers errors, and accelerates partner onboarding. This ensures that shared data is consistent and correct across all systems.