System ARIS categorizes 80 % of the incoming messages for P2P landing platform provider

Client: Peer-to-peer landing platform provider

Automatically process a large number of incoming customer support emails.

Based on historical data train a natural language processing model in order to classify and identify useful information in incoming emails. Define templates for automatic replies and actions executing.

More than 80 % of the incoming messages are correctly categorized from day one.

Area: Banking, fintech, natural language processing, customer support

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