Dynamic Text Classification - Process Incoming Mail Intelligently

The expertise that ITyX has in the area of dynamic text classification of documents has created a new generation of 'self-learning' digital mailrooms. It has been long accepted that self-learning processes (AI) are significantly superior to the traditional rule based approaches for the analysis of free text. They require low administrative effort and optimise their effectiveness independently by observing staff during the sorting process.

The ITyX technology for classifying incoming mail is based on the latest AI methodologies. Dependent on the document content and form, each methodology has its own specific strengths. The error rate decreases significantly, when these specific AI methodologies are combined with rule-based methods. Often these productive installations achieve classification rates of 98 percent or better.

ITyX Technology for Document Classification includes eg:

• Classification of all input formats: freeform text, invoices, forms, zone contents etc
• Classification using rule-based or multi-stage intelligent methods (Artificial Intelligence)
• Self-learning, low-admin use through the dynamic combination of AI methodologies
• Integration of the 'stand-alone' technology module as a transaction-secure service in existing environments