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Home > AI for Supply chain > Smart Document Processing

Intelligent Document Processing

Quickly scan, digitize, and extract meaningful insights from supply chain documents like invoices, purchase orders, bills of lading, and customs documents. Automate the process of analyzing those documents instead of manual data entry.

Business Impact: process more documents in less time, decrease processing costs, increase productivity, and reduce errors resulting from manual processing.

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ROI Examples
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1. Get Inspired

Understand the Use-case under 5 minutes

2. Know More

Get to know more Business and Technical details about the use-case (15-30 minutes)

Deeper Intro

More detailed introduction covering business and technical aspects

Business Focused

Case studies, Organizational Aspects, Return on Investment examples

Tech focused

More details on the technical aspects of the use-case

3. Do

Technical resources that will help you implement the use-case (notebooks, tutorials..)

Data Sets

Data Sets you can use to build Demos, POCs, or test Algorithms

Receipt image dataset

200 images of restaurant receipts. Each receipt is shown in its entirety and includes business name, business address, cost, itemized items, subtotal, tax (if applicable), and total


Form Understanding in Noisy Scanned Documents (FUNSD) comprises 199 real, fully annotated, scanned forms. The documents are noisy and vary widely in appearance.

NAF Dataset

Images provided by the United States National Archive and FamilySearch. The goal of this data is to capture relationships between text/handwriting entities on form images


Off-the-Shelf Products using AI for Intelligent Document Processing

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