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INTEGRATIONS AND DATA

Connect traceability without replacing every system.

Food supply-chain data is distributed by nature. TRAZEIT is designed to connect the records that matter while allowing different participants to use capture methods appropriate to their role and capability.

Food supply-chain data is distributed by nature. TRAZEIT is designed to connect the records that matter while allowing different participants to use capture methods appropriate to their role and capability.

Common data sources

ERP and inventory systems.

Manufacturing and quality systems.

Supplier portals and master data.

CSV or spreadsheet files.

Mobile and web capture.

QR codes, barcodes and scanners.

Approved IoT or cold-chain devices.

Document repositories and certificates.

Integration principles

Start with identifiersProduct, lot, location and party identifiers must align before event data can connect reliably.
Validate at the boundaryCheck required fields, formats, duplicates, timestamps and relationships when data enters the traceability layer.
Preserve the sourceRecord where data came from and which person or system supplied it.
Design for interruptionField and supplier workflows should account for intermittent connectivity and delayed synchronisation where applicable.
Minimise duplicationDo not ask users to re-enter data already available from a reliable system.

What to prepare for an integration workshop

Current system list and owners.

Product, supplier, facility and customer masters.

Sample batch and transaction records.

Example labels and identifiers.

Required outputs and reports.

Security, privacy and retention requirements.

Frequently asked questions

Do you provide APIs?
Can we begin before integration is complete?

Often, yes. A pilot can use controlled imports or portal capture while integration requirements are confirmed.

How do you handle poor data quality?

TRAZEIT should identify missing, inconsistent or unlinked records, but remediation still needs agreed ownership and process.

TAKE THE NEXT STEP

Review your current data landscape.

Start with one representative product flow and a focused conversation.

Book a demo