Food traceability fails at the data layer. Manual entry, siloed formats, and unvalidated IoT streams from temperature loggers and GPS devices create gaps that cripple compliance and waste analysis. A custom agentic workflow automates this foundational ingestion, applying validation rules, flagging anomalies for recalibration, and structuring data for upstream applications. This eliminates the manual reconciliation that delays recalls and obscures spoilage root causes, turning raw telemetry into auditable, actionable insight.




