Know which products are affected, and where they went.
Food businesses generate records across sourcing, production, storage, and distribution. When a quality issue appears, the challenge is connecting those records quickly enough to understand which products may be affected.
D4 can connect supplier, production, quality, and distribution data into a shared workflow. It helps teams trace an issue from its source to the batches, shipments, and customers that may need attention.
A quality issue rarely stays within one system.
A supplier notification may identify an ingredient lot. Production records show where that ingredient was used. Warehouse and distribution systems hold the information about where the resulting products went.
Each system contains part of the answer. Differences in identifiers, formats, and record keeping can make it difficult to establish the full picture.
Teams may need to reconcile spreadsheets and contact several departments before they can define the scope of an investigation. Missing links can leave uncertainty about which products should be included.
Connect the records behind every batch.
D4 can receive events and records from supplier systems, production platforms, quality tools, and distribution partners. Incoming data can be validated and linked using lot numbers, batch identifiers, shipment references, and agreed mapping rules.
When an issue is reported, a workflow can follow those relationships to identify potentially affected production batches and their recorded destinations. It can also flag missing records or uncertain relationships for investigation.
Defined rules can route the findings to quality and operations teams. Governed AI can help summarise the available evidence, while decisions about product safety and recall scope remain with the responsible people.
From an ingredient lot to its recorded destinations.
- Supplier records: Ingredient lots, delivery references, supplier notifications, and supporting documentation.
- Production records: Ingredient consumption, batch relationships, processing events, and packaging information.
- Quality results: Inspection findings, laboratory results, deviations, and release decisions.
- Inventory movements: Stock locations, transfers, quantities, and hold status.
- Distribution records: Shipments, delivery destinations, and customer references.
- Investigation history: Previous findings, corrective actions, and unresolved questions.
Give the response team a traceable starting point.
Instead of rebuilding the chain of records manually, teams can receive a structured view of the batches and destinations associated with an issue, together with gaps that still need checking.
A quality team might need the evidence behind each relationship. A warehouse team might need a list of stock to review for a hold. A customer service team might need verified shipment information to prepare communications.
The same workflow can support routine traceability checks and exercises, helping teams identify incomplete records before an incident occurs.
Have traceability records spread across suppliers, production, and distribution? Talk to us about connecting them into a clearer basis for investigation and response.
Connect the records behind every batch.
Bring supplier, production, and distribution data together so your team can trace affected products and coordinate a response.
