Logistics Document Processing
Extract data from various types of logistics documents, such as invoices, bills of lading (BL) and packing lists, validate it while calculating a confidence level, and if necessary involve humans ensuring maximum accuracy and compliance.
Finance
Intelligent Document Processing, RPA & Integrations
Zoho, NetSuite, SAP, Fishbowl
Case Description
Managing logistics operations requires processing a large number of documents, including invoices, bills of lading, and packing lists, all of which must be handled accurately to ensure smooth operations and regulatory compliance. Leverage ElectroNeek’s Intelligent Document Processing to automate the extraction of essential data from these documents, and use RPA bots to validate it using predefined business rules.
Calculate a confidence level for each extraction, and when that level falls below a certain threshold, trigger human interventions to review and correct the data, ensuring both speed and precision and reducing manual workloads while maintaining the highest level of accuracy and compliance.
Use Case Highlights
Logistics documents such as invoices, bills of lading (BL), and packing lists are collected for processing.
Intelligent Document Processing is used to extract relevant data, including shipment details, invoice numbers, item quantities, and freight charges.
The data is validated against business rules and regulatory requirements, such as matching shipping information with purchase orders or verifying compliance with customs regulations.
A confidence level is calculated for each document based on predefined parameters (e.g.; if 8 out of 10 business rules are fulfilled, confidence is 80%.)
If the confidence score is high, the data is automatically approved and processed. Otherwise, human operators are asked to correct or validate the information manually.
The data is then integrated into ERPs or logistics management systems for further tasks.
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