Scanning Service Provider

Scanning Service Provider

Rule-free Records Classification

Rule-free Document Classification

91 %

Automation Rate

80 %

Cost Savings

A renowned scanning service provider experienced remarkable improvements by implementing PLANET AI’s Intelligent Document Analysis (IDA) software suite. The company could move beyond its previous, rulebased document classification system.

The adoption of IDA’s machine learning approach facilitated quick deployment, swift adaptation to regulatory changes, and a significant expansion of business operations due to decreased resource requirements.

The Client

Our client has been offering scanning services as part of business process outsourcing (BPO) to healthcare providers, the public sector and enterprise customers for over 50 years. The client specializes in digitizing, indexing, and archiving documents and processes a volume of one billion pages annually.

Scanning Service Provider Challenges

Before implementing Intelligent Document Analysis – IDA –, the scanning service provider’s daily processes involved scanning and reading incoming boxes of documents. Initially, a market-leading Intelligent Document Processing (IDP) product was used for rule-based document classification.

Scanning Service Provider_Challenge 1_Rule-based classification

Rule-based classification

Scanning Service Provider_Challenge 2_Expensive maintenance

Expensive maintenance

Scanning Service Provider_Challenge 3_Automation rate

50 % automation rate

The introduction of regulatory changes further emphasized the need for a more precise categorization system that their previous solution couldn’t effectively deliver.

Planet AI’s Scanning Service Provider Solution


Remarkable performance with an automation rate of 91% for document classification out of the box


Swift initial setup in less than 3 days instead of 240-day setup with the previous rule-based solution


80 % reduction in time spent on manual work, thanks to enhanced straight-through processing

Overall, the substantial improvement in automation empowers our client to significantly scale their business.


Scanning and processing large batches of documents can become incredibly challenging when dealing with PDFs that contain 100 or more consecutive forms. Automating the classification of these documents based on their categories seems nearly impossible.

Scanning Service Provider_Document Splitting

Document Splitting

The client plans to address this issue by leveraging IDA’s document splitting feature in the future. This will enable them to train a neural network to automatically detect the start and end of multi-page documents or split documents rule-based after a fixed number of pages.

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