Products from A to Z
ftrace Integration
Easy, standardized exchange of origin data
In the German food industry, ftrace is an established standard for exchanging origin data. Directly integrated into your ERP system, it enables standardized data exchange with business partners and suppliers while minimizing the number of interfaces required.
Standardized data exchange
Secure connection to osapiens ftrace
Reliable traceability
Exchange of origin data with business partners and suppliers
Reduced technical effort
Fewer interfaces and separate data exchange processes
Transparency across the supply chain
Integrating ftrace complements traceability data in the CSB-System with additional origin information. Data is exchanged automatically with osapiens ftrace using standard interfaces.
When goods receipts are recorded, suppliers and items are uniquely matched using the address, lot number, and GTIN. Based on this, the CSB-System retrieves the available origin data and transfers it to the ERP workflows for downstream processing.
Frequently asked questions about ftrace integration
Data is transmitted via web services (upstream and downstream).
The integration supports uploading origin data for fish, red meat, and poultry and product data for finished products, as well as sending events to notify customers.
The system also provides origin data and data quality messages. Origin data is supplied product-independently, and differentiated automatically and product-specifically during import. Data quality messages indicate missing or critical elements within the event chain.
For meat products, data on birth, rearing, slaughter, cutting, and processing can be transferred. For fish products, information on fisheries, fishing methods, aquaculture, and catch and harvest periods is available.
In addition, certificates such as organic, Global G.A.P., and QS certificates, address details of the companies involved – including place of rearing and aquaculture farm data – and information on additional processing steps can be transferred for all products.
Reporting includes transaction overviews and data quality evaluations, with checks on data completeness, date intervals, and the number of organizations involved.
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