Automating Data Entry in Logistics

Implementation Time:
2 months
Solution Provider: Docuf.AI

Companies are at present doing a lot of manual data entry of logistics documents (Invoices, Purchase Orders, Airway Bills, Seaway Bills, Customer Clearance, etc.). Employees are not being productive and spend a lot of time keying in the data manually into their accounting software or ERP systems.

They need a system to replace all these manual entries and automate the process of converting these data from all these documents into structured digital data which can then be input into accounting software or ERP System freeing employees to do more productive work.

Using artificial intelligence (AI), specifically Computer Vision and Natural Language Processing, and machine learning (ML) techniques, the solution can automatically extract information from documents and perform tasks such as data extraction, classification, and validation.

It can be used to automate many of the tasks typically performed by humans when working with unstructured data, such as processing invoices, extracting contact information, or identifying key data points in legal documents.

Some examples of intelligent document processing include Optical Character Recognition (OCR), natural language processing (NLP), and machine learning-based document classification.

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Implementation Time

2 months

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