• Format Diversity
  Instructions come in a variety of non-standard file types and structures, lacking consistent formatting or labeling.
• Data Extraction Complexity
  Critical fields like Shipper, Consignee, HS Code, Description of Goods, Carton Count, and Weights are scattered and differently labeled in each file.
• High Manual Effort
  Teams spend hours reading and transcribing shipment data into SAP systems, leading to operational delays and fatigue.

• Reference Code Matching
  Destination and loading ports must be cross-checked against internal master data (like Excel reference lists) to retrieve SAP-compatible codes.
• Error-Prone Manual Entry
  Misclassification or incorrect SAP entry due to inconsistent mapping leads to customs delays, cost penalties, or misrouted shipments.

How Agentic AI Helped

• Multiformat Intelligent Document Processing
  Agentic AI reads and understands all formats (Word, Excel, PDF, email body), regardless of structure. It extracts key shipment fields using semantic and positional understanding.
• Context-Aware Field Mapping
  The AI agent identifies and tags essential fields like HS Code, CARTONS, GROSS/NET Weight, even if labels vary between documents.
• Shipper & Consignee Classification
  Based on name or VAT, Agentic AI classifies the instruction and matches the entity to the internal company reference system.
• Port Code Retrieval
  Port of Loading and Discharge are matched against the internal reference Excel sheet to fetch the corresponding SAP codes.
• Seamless SAP Integration via RPA
  Once all information is structured, RPA robots log into the SAP system and input data in the correct sequence and format automatically.