Agentic Workflow for Over, Short, and Damaged (OS&D) Goods Processing

Over, Short, and Damaged goods processing is a manual, time-intensive exception loop that ties up receiving staff, delays inventory availability, and defers credit recovery. A custom agentic workflow automates this by using computer vision at the dock door to identify discrepancies against the ASN, instantly quarantining affected items and triggering a structured resolution process. This eliminates manual data entry, reduces dwell time from days to hours, and ensures financial claims are filed while evidence is fresh.

Implementation integrates with WMS (e.g., SAP EWM, Blue Yonder) for real-time location control and ERP for financial posting. The architecture requires robust exception routing for ambiguous cases, configurable approval gates based on claim value, and full audit trails. The result is a closed-loop system that converts a cost center into a controlled, automated recovery operation, improving dock throughput and working capital velocity.

The OS&D triage engine automates a high-volume, low-margin process where manual inspection and data entry create delays in credit recovery and clog receiving docks. It eliminates the bottleneck by using vision agents at receiving stations to scan and classify discrepancies against the Advanced Shipment Notice (ASN) in real-time. Each anomaly—overages, shortages, or visible damage—triggers a structured workflow that updates the WMS, quarantines inventory, and initiates documentation, turning a reactive, labor-intensive process into a closed-loop exception management system.

Implementation integrates directly with warehouse execution systems (WMS/WCS like SAP EWM or Blue Yonder) to create quarantine putaway tasks and with transportation management systems (TMS) for carrier claims. The orchestrator, built on frameworks like LangGraph, manages state across these systems and routes exceptions based on configurable business rules. Critical controls include human-in-the-loop approval for high-value discrepancies and an immutable audit log of all scans, classifications, and claim correspondence to support financial reconciliation and vendor negotiations.

Phase 1 establishes the core detection and routing engine. We integrate vision systems at receiving docks with your WMS to automatically flag discrepancies between ASNs and physical counts or visible damage. Flagged items are routed to a digital quarantine queue and a physical hold area. This initial phase delivers immediate value by preventing faulty inventory from entering active storage, reducing manual inspection labor by 60-70% and creating a clean audit trail for carrier claims. The architecture uses a lightweight LangGraph orchestrator to manage the initial triage logic and exception routing.

Phase 2 introduces the claims automation and complex disposition layer. The orchestrator activates specialized agents that gather evidence (images, timestamps), populate claim forms, and interface with carrier APIs (FedEx, UPS) or vendor portals. It also routes items to refurbishment, liquidation, or destruction channels based on predefined business rules. A human-in-the-loop interface is added for high-value exceptions. Final Phase 3 scales the system across your network, adds predictive analytics to identify problematic vendors or carriers, and exposes a self-service portal for suppliers, fully closing the financial recovery loop and providing strategic supply chain insights.

Deploying an OS&D agentic workflow requires a phased rollout to manage operational risk and validate system accuracy. Start with a single receiving dock, limiting the workflow's scope to non-critical SKUs. This pilot phase focuses on validating the vision-based damage detection, the accuracy of the triage agent's routing logic, and the automated generation of initial claim documentation. Governance is enforced through a mandatory human-in-the-loop review for all high-value discrepancies before any claim is submitted, ensuring no financial or vendor relationship risk is introduced during initial learning.

Post-pilot, expand to additional docks and product categories, integrating the workflow's exception queue with your existing quality management or vendor compliance systems. Final governance controls include immutable audit logs of all agent decisions, configurable approval thresholds based on claim value, and scheduled performance reviews against key metrics like credit recovery rate and resolution cycle time. The architecture must support rollback procedures, allowing manual override and process suspension if anomaly rates exceed predefined thresholds, ensuring the system enhances rather than disrupts receiving operations.

Over, Short, and Damaged (OS&D) goods represent a direct hit to margin and operational throughput, tying up capital in quarantined inventory and consuming hours in manual claim filing. A custom agentic workflow automates this exception path, transforming a reactive, labor-intensive process into a closed-loop system. By integrating computer vision at the receiving dock with orchestration logic, it instantly identifies discrepancies between purchase orders and physical receipts, calculates financial impact, and triggers the appropriate resolution workflow—carrier claims, vendor debits, or internal write-offs—without manual triage.

Implementation integrates directly with Warehouse Management (WMS) and Execution (WES) systems to create quarantine putaway tasks, often directing Automated Guided Vehicles (AGVs) to a designated hold area. The core orchestrator, built with frameworks like LangGraph, manages the evidence chain—stitching together images, scan data, and ASN documents—and routes claims via API to carrier platforms (FedEx, UPS) or generates debit memos in ERP systems like SAP or Oracle. Governance is maintained through configurable approval thresholds for high-value claims and a complete audit trail of all automated decisions, ensuring the system reduces handling cost by 60-80% while improving credit recovery speed and accuracy.