Rule-based solutions that search for clearly defined keywords (keywords) reach their limits at the latest in unstructured messages (email, letter, etc.). The rules that you would have to store for this are too large and complex. They do not follow any dynamics and have to be constantly adjusted with great effort. This ties up resources that are more urgently needed for the core business. The alternative is self-learning systems based on methods of artificial intelligence (AI). They "observe" themselves and learn through their behavior patterns every day. Your content is subject to roles and authorizations and can be used centrally for all contact channels (email, social media, web chat, online forum, telephone). Therefore: Link the AI solution to your company's inbox system, for example via web services. The result: a consistent, dynamic knowledge platform that "thinks".
Consolidation and Automation
Unify your systems and use the same classification and extraction procedures for structured and unstructured content. Lay the foundations for automated processing of all input channels (workflow). Modern communication platforms are not limited to use in classic inboxes. You will see: With harmonized and multi-channel input management, you can analyze documents much faster and more precisely than classic post offices.
Optimizing the OCR
Avoid the slightest mistake when capturing the content (capturing) - it pays off bitterly. Inadequate OCR (Optical Character Recognition) software makes all subsequent processes obsolete; especially if your post office uses different input sources (letter, fax, forms, free text / email).
Modern Extraction Methods
Meaningful data on the customer and content of a document are the be-all and end-all of efficient process processing. Make sure that the information in the post office is processed on the screen at all times. This applies to the validation of messages (assignment of a message to inventory data) as well as the entry (triggering a case-closing transaction in the inventory system). Important: The process data must be individually definable for each work step. Leading technologies are even able to learn the extraction behavior of employees and to process unstructured content (free text) fully automatically.
Processing with Added Value
Create the basis for reliable identification of personal and company data at all times. Because the associated search for matching features will be of great importance in the input management of the future. It lowers the risk of errors and improves work processes because it supports assignment (customer history), processing (process information) and archiving.