Incoming Mail and Invoice Processing

The situation is almost identical in all larger companies: The mail room is overwhelmed by the daily masses of letters which have to be opened, sorted and distributed. So far, the huge amount of time, effort and staff for this have been accepted. In most cases this leads to a slower handling of business processes and increased cost for the company, or – even worse – competitive set-backs. The following scenarios can arise from a belated delivery of corporate mail: supply deadlines expire, time limit for appeal run out, erroneous decisions as current information are not yet available.

COI-IntelliDoc allows the automatic detection and assignment of documents to various document families based on defined content characteristics. Thus, for example, letters, invoices or general correspondence can be automatically recognized and classified. Document analysis is a central component of this solution and cooperates as a component tightly with the proven base system
COI-BusinessFlow 4X or Xtrend as well. The procedure automatically determines as many information components as possible from a document which is to be included, extracts these and – after an optional check – submits the data to COI-BusinessFlow for the further processing.

The document classification tool COI-IntelliDoc allows maximum automation of the internal mail route of scanned documents. By means of the intelligent document analysis incoming mail can, for example, be checked for electronic determination of addressee, sender, subject and document type. The documents arrive in the electronic post in-box of the desired receiptient within minutes. On the basis of identified document business processes can be started automatically when required.

The results of the analysis also can be checked for validity (dependences among each other or with databases). The following advantages distinguish COI-IntelliDoc:



Recognizing processing relevant information
Omission of manual overhead when classifying documents
Cost minimization by automatic handling and distributing of documents
Process optimization by examining mechanisms with ERP counterparts
Efficient classification by optimal adaptation to the processed documents
Knowledge base to support operator-free acquisition
Digitalizing of hard copies to avoid media break
Avoidance of cost-intensive multi-filing
Considerably faster access times to documents due to electronic availability