Concept Note: Gen AI-Powered Logistics Document Digitization Executive Summary: In the logistics and freight industry, manual document processing remains a critical bottleneck, leading to inefficiencies, transcription errors, and higher operational costs. AIQoD Gen AI-powered Intelligent Document Processing (IDP) platform is designed to automate the digitization and processing of complex logistics documents such as Airway Bills (AWBs), Bills of Lading (BOLs), Invoices, and Bills of Entry (BOEs). By leveraging cutting-edge Gen Al, Optical Character Recognition (OCR), and rule-based automation, RPA, AIQoD streamlines document management and eliminates manual data entry errors. This solution drastically improves operational efficiency, accelerates time-to-market, and enhances overall productivity for logistics firms. Objective: To implement a Gen Al-powered logistics document processing solution that automates data extraction, validation, reconciliation, and integration, thereby streamlining operations, reducing errors, and improving efficiency for logistics companies. Business Needs: Timely 3-way reconciliation is essential to prevent financial reporting delays and ensure data integrity. Faster and more accurate document processing to meet customer demands. Develop efficient processes to handle exceptions and discrepancies, preventing errors from impacting the system. Real-time tracking of on-road fleets is crucial, despite challenges like connectivity issues and remote locations. Automate the conversion of invoices into shipment orders to manage diverse formats and complex data efficiently. Streamline the identification and resolution of discrepancies in invoices, BOLs, and shipment details to reduce processing time. Current Challenges Faced by Logistics Companies: --------------PAGE Number: 1. END OF PAGE----------------------- Transcription Errors: Manual entry of data from logistics documents like AWBs, BOLs, and Invoices often leads to mistakes, resulting in incorrect data. Missing Data Elements: Important information might be overlooked during manual processes, causing delays and the need for rework. Voluminous Paperwork: Handling vast amounts of paper documents is inefficient and increases the risk of lost or misplaced documents. Higher Costs & Loss of Productivity: Manual tasks take up critical hours that could be used for higher-level decision-making and analysis, resulting in higher operational costs and lower productivity. Compliance Risks: Failure to meet regulatory requirements due to human errors in data entry can lead to fines and operational risks. Proposed Solution: AIQoD offers an Al-powered platform that automates the digitization and processing of key Iogistics documents such as Invoices, AWBs, BOEs, BOLs, and others. The solution includes OCR, Al, and Machine Learning (ML) technologies to ensure high accuracy in data extraction, validation, and reconciliation. By integrating seamlessly with downstream systems, the platform accelerates document handling while reducing errors and manual effort. Types of Documents Involved in the Process: Invoices Airway Bills (AWBs) Bills of Entry (BOEs) Bills of Lading (BOLs) Proof of Delivery (POD) Dangerous Goods Certificates (DGC) Security Certificates (SC) Entities to be Extracted: Category AWB Details Charges and Rates Goods Information Flight Carrier. & Chargeable Weight Entity AWB Number Weight Charges Nature of Goods Carrier Details IATA Code Rate Class Quantity Chargeable Weight Origin Gross Weight Dimensions Destination Number of Pieces Flight Number Total Charges Currency --------------PAGE Number: 2. END OF PAGE----------------------- Key Features: Multi-source Document Input: Handles various formats like PDFs, images, emails, and scanned documents. Intelligent Document Classification: Automatically classifies documents for faster processing. Automated Reconciliation: Performs 2W/3W reconciliation with sales data and other inputs. Rule-Based Tariff Calculation: Automates the calculation of freight charges based on pre-defined business rules. Automated Validation & Verification: Ensures accuracy by cross-referencing extracted data with external systems. System Integration Connectors: Enables seamless integration with ERP, Cargowise, and other logistics platforms. Workflow/Task Management: Automates task assignments, approvals, and monitoring of shipments. Benefits: Cost Optimization: Reduces operational costs by 70-80% through automation and smart compliance. Quick Turnaround Time (TAT): Speeds up shipment document processing, leading to faster delivery cycles. Increased Accuracy: Eliminates human errors in data extraction and reconciliation. Improved Compliance: Ensures data integrity and adherence to regulatory requirements, reducing the risk of penalties. High ROI: Achieves a return on investment (ROI) of up to 65% within months due to reduced manual intervention and improved accuracy. Enhanced Customer Experience: Faster processing and fewer errors lead to improved customer satisfaction. Flexibility & Scalability: The AIQoD platform is highly scalable, designed to grow with business needs, handling increased volumes of logistics documents without compromising speed or accuracy. It is flexible, integrating easily with existing systems like ERP, CRM, and specialized logistics software. Moreover, the no-code interface allows users to customize workflows and rules, making it adaptable to various logistics processes. Conclusion: AIQoD Intelligent Document Processing solution revolutionizes the way logistics companies handle document workflows. By automating labor-intensive tasks and increasing data accuracy, --------------PAGE Number: 3. END OF PAGE----------------------- the platform enables businesses to cut costs, accelerate operations, and enhance compliance. AIQoD's next-generation technology ensures logistics firms are prepared for the future, delivering faster time to market and an improved bottom line. --------------PAGE Number: 4. END OF PAGE-----------------------