mailBatch is an expert system for error-tolerant duplicate recognition in existing databases. With mailBatch it is possible to recognize addresses as duplicates, even if the same address is represented differently because of reading, hearing or data entry errors and because of different abbreviations, use of synonyms or even differing recording rules (example: different sequence of the name elements) in the individual data sets (tables). This takes place through analysis of the address information using country-specific rule and term tables, phonetics specific to the language area and address-specific fuzzy logic.

Relevant to that also see error-tolerant search methods.

mailBatch is designed for n:n mass comparative checks, in which the objective is in principle to check every entered address against all of the others on suspicion of being a duplicate. That means, for example, that with a million entered addresses potentially about 500 billion error-tolerant comparisons are to be conducted in the shortest possible time. Even with the present computer capacity, this task can only be solved in an acceptable length of time and with high, reliable quality by using a specially designed software technology.

mailBatch supplies a performance which allows the processing of even the largest volumes of addresses in a reasonable time and this done with the highest recognition quality. Of course, the relevant performance depends on the hardware that is used and on the particular task to be done. The performance spectrum ranges from more than a million addresses per hour for a "standard" comparison on a rather small INTEL server to far into the double-digit million range per hour on large servers and for special tasks.