The cornerstone of successful automated office systems is
ability to convert printed information into electronic data. Document processing applications need to capture and index data accurately and efficiently to bridge that gap.This capability can be enhanced with
integration of Optical Character Recognition (OCR) software. By this means, extracted data is used to index and save
document into
document management application.
This intelligent document recognition and classification is central to Tokairo’s new contract with a major UK supplier of dairy products. The delivery and receipt procedure works like this:
• When an order is received from a customer a despatch note is issued listing product description, quantities, weight and code
• On delivery
note is signed by
customer along with
customer’s Goods Received Note (GRN) which details
goods actually delivered
Problems arise if goods are damaged, lost or delivered piecemeal, as discrepancies can occur between
despatch note and
customer’s GRN.
The system has been set up so that these documents can be automatically read, matching delivery line items with corresponding items from
company’s despatch notes.
After every delivery, despatch notes, GRNs and any other delivery/receipt documents are scanned by
delivery driver at any one of
company’s 20 depots in
UK.
Coping with different document styles and formats
The company’s system is configured to recognise every GRN’s header and footer, so it can read each item’s line code and quantity. This process is made complicated because each customer uses a different GRN style, format and layout. Also, there can be multiple GRNs for one despatch note – typically when a single delivery goes to several different customer sites.