Real time E2E BoL processing: up to 10’000 documents per hour with 98% recognition rate

Instant push of data from BoL to business software via native integration or API. Handwritten notes and poor quality images recognition.

Our E2E solution streamlines the entire workflow, eliminating inefficiencies caused by high document volume, inconsistent formats (seaway bill, air waybill, etc.), and even handwritten text recognition. Leveraging OCR and Machine Learning, Graip.AI automatically classifies BoLs, extracts critical data, and integrates with existing CRM, financial, or ERP systems. This eliminates manual data entry errors, automates approval workflows (even for scenarios with multiple approvers), and delivers real-time data visibility for improved decision-making. The result: real-time visibility of data, better driver utilization, optimized route planning based on real-time data, enhanced analytics and no huma errors in data entry.

No real-time data

Delays in getting data from BoLs for route planning and better driver utilization

Driving and rest times regulation

Driver time limits tracking and following the regulation rules can be tricky due to data delays

Peak hours

Handling the large volumes of documents in peak hours

Poor Image Quality

Driver-captured images of non-digitized documents often hinder automation due to poor quality, handwritten notes/stamps, or improper orientation.

Speed of Purchase Order Processings

Large organizations, particularly in manufacturing and retail, experience significant delays due to the sheer volume of POs requiring processing and data comparison with external systems.

Delays in Sales Order Creation

Manual PO processing often creates bottlenecks, delaying the creation of corresponding sales orders. These delays can frustrate customers and negatively impact revenue generation.

Data Reconciliation and Review

Reconciling data across multiple documents (POs, invoices, receipts, contracts) consumes significant time and resources. Manual review processes are prone to inconsistencies and require frequent requests for missing information.

Time-Consuming Workflows

Manually creating and updating POs in the ERP system after receiving scanned versions is a tedious process for employees, hindering efficiency.

Data Entry Errors

Manual data entry from scanned POs is a significant source of errors, leading to inconsistencies, delays in processing, potential financial losses due to incorrect order fulfillment or invoicing, and miscommunication with customers.

Challenges

Strategic goal

To achieve complete real time automation in categorizing and processing Bill of Lading documents

13%

of transportation documents have to be manually revoked due to human errors in data entry

up to 30%

of total trade document processing costs accounts to BoL manual processing

Graip.AI offers a comprehensive solution for automated Bill of Lading processing:

Intelligent Processing

Graip.AI leverages embedded OCR, Machine Learning (ML) technologies, and a post-processing engine to extract vital information from the document.

Real-Time Data Insights

Extracted data can be presented in various formats (dashboards, Excel spreadsheets, data visualization tools) in real-time, providing management with an aggregated overview for a specific period.

Advanced Image Handling

Graip.AI boasts capabilities to handle challenging documents, including recognizing handwritten text, non-vertical photos, blurry images, and even overlapped text sections.

Flexible Verification

Users can choose to manually verify the extracted data for accuracy or allow Graip.AI to automatically generate email notifications highlighting any missing or incorrect information to the document sender.

Customizable Approval Workflows

Graip.AI can be configured to mirror your company's existing approval rules and practices, accommodating scenarios with multiple approvers for Bill of Lading processing.

Seamless System Integration

Recognized and extracted Bill of Lading data can be automatically transferred to your CRM, financial, or ERP system, updating related documents like invoices, purchase orders, and insurance policies.

Key Features

External/Internal Data matching

Graip.AI can compare the extracted data against your internal databases like CRM or ERP. In some cases, you might want to match BoL data against external databases like customs authorities or freight forwarding platforms.

OOTB integration (SAP S/4HANA, SAP FI, etc.), or API

We offer native integration with market-leading ERPs such as SAP and Salesforce, and with our API, you can integrate our platform with other software applications. As an extension to leading RPA solutions (e.g. UiPath) Graip.AI allows you to leverage AI-powered capabilities without the need to change your existing RPA tools. While Graip.AI integrating with an AS/400 for BoL processing is a valuable step, here are other popular 3rd party solutions Graip.AI is integrated with: Trade Management Systems (TMS) (e.g. Oracle Transportation Management (OTM), etc.), Customs Management Systems (CMS) (e.g. GT Nexus, etc.), Freight Forwarding Platforms: (e.g. Flexport, etc.). Auto verification of addresses with Google Maps.

Multi-approvals

The Graip.AI approval functionality aims to optimize user's decision-making processes within workflows. It ensures accountability by establishing clear approval chains and communication channels: Define custom approval chains for different request types. Assign specific approvers for each type of request. Configure default actions to be triggered upon initiating approvals request.

Advanced reporting

Full potential of your data through intuitive dashboards and robust data analysis capabilities. Visualize and analyze your data in real-time, gaining valuable insights that drive informed decision-making and business performance. With interactive data dashboards and advanced analytics tools, you can navigate, explore, and extract actionable intelligence to optimize key metrics and seize opportunities for growth.

Smart workflows

With a user-friendly interface and drag-and-drop functionality, you can intuitively capture and extract data, specify where it should be placed, and what actions should be made.

Graip.AI Q&A platform

Interactive platform to get the information about shipments, works as a simple dialog: User: "Question: Where is the shipment for XYZ Company currently located?" Graip.AI: "Answer: According to your BoLs #1234567, the shipment for XYZ Company is currently at the port of Rotterdam, awaiting customs clearance."

Benefits

Real time data from BoL for proper invoicing and shipment handling, driver utilization, route planning and legal checks

Peak hours handling: up to 10’000 documents processing per hour

Easy driving and rest times compliance handling with real time data for route planning

Auto-notifications of document owner, if any data is missing/incorrect; auto requests for missing data

Automatic classification of multiple types of transportation/logistic documents with configurable workflow for each type

Poor quality document photos auto-processing

Driver’s handwritten notes auto-processing

0.8 seconds per document

Template-free solution, no need to re-annotate or rewrite rules if document structure is changed

Low-code solution, minimal IT involvement needed

Native or API integration with any business software

Elimination of human errors

Automated BoL processing:

We prioritize the security and integrity of your data

We take pride in maintaining a secure environment that empowers you to utilize our technology with confidence, enabling you to focus on your core business objectives. Your data security is our top priority.