This Langflow flow implements an inventory discrepancy detection and prioritization pipeline.

It begins by ingesting two aligned inputs: system stock (from an ERP/WMS snapshot) and physical counts (from cycle counts or audits). The workflow normalizes key identifiers (SKU, location, lot/batch, timestamp) and aligns records without requiring you to restructure the source schemas.

A comparison stage calculates deltas per item and location, classifying anomalies as shortages, surpluses, or mismatches. The flow can compute materiality using unit cost, margin, and criticality signals (ABC classes, lead time, demand velocity) to estimate financial exposure.

A risk scoring layer ranks discrepancies by operational impact. For example, high-velocity SKUs with large shortages or items tied to critical orders can be escalated. The workflow can also surface root-cause hints by detecting patterns consistent with receiving errors, picking errors, shrinkage, or timing mismatches.

Finally, structured output components generate a discrepancy report ready for action: prioritized list, impact summaries, and recommended next steps such as recount, investigation, adjustment workflows, or supplier/warehouse escalation.

The flow can be extended into a full inventory control workflow. Add integrations to ERP/WMS APIs to pull snapshots automatically, and write results back as tasks or alerts (Slack/Email/Jira) when thresholds are exceeded. Store discrepancy history to identify recurring hotspots and measure remediation effectiveness. You can also incorporate demand forecasts, safety stock targets, and supplier lead times to improve risk scoring. Advanced setups can include automated root-cause classification, multi-warehouse dashboards, and governance gates for when automated adjustments are allowed versus when human approval is required.