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Retain information + ask follow-up questions for clarification and more information to handle vague responses
Memorize earlier conversations + switch between different flows when the topic changes so that the same conversation won't start over again
Increase first-time resolution rate
Improve service efficiency
Scale your project scope
Simulate human conversations
to reduce
conversation fragmentation
Finding the right answer,
regardless of the
way customers ask the question.
Enhanced synonymy database
to improve
response rate.
FAQ can quickly compare massive data and remove low to medium correlations. Low computing power.
Questions received
6 different algorithms filter the data and give a precise scoring.
Using the N-Gram model, each conversation is decomposed and vectorized to obtain feature value results. The feature value is used as a base value for vector space positioning.
Retain information + ask follow-up questions for clarification and more information to handle vague responses
Memorize earlier conversations + switch between different flows when the topic changes so that the same conversation won't start over again
Increase first-time resolution rate
Improve service efficiency
Scale your project scope
Simulate human conversations
to reduce conversation fragmentation.
Finding the right answer,
regardless of the way customers ask the question.
Enhanced synonymy database
to improve response rate.
FAQ can quickly compare massive data and remove low to medium correlations. Low computing power.
Questions received
6 different algorithms filter the data and give a precise scoring.
Using the N-Gram model, each conversation is decomposed and vectorized to obtain feature value results. The feature value is used as a base value for vector space positioning.