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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