Image Credits:<\/strong> Ramp\/Cohere.io<\/p>\n<\/div>\n

Ramp CEO Glyman told TechCrunch that <\/span>Cohere.io\u2019s approach stood out from other chatbots in the market that require employees to manually define and answer different variations of customer questions to ensure accurate responses.<\/span><\/p>\n

Said Lin: \u201c<\/span>There are a lot of vendors doing some automation out there. And historically, a whole bunch of them have been targeted towards simpler use cases, like for instance, e-commerce, or simple consumer SaaS that the total number of questions that people can ask for answers to is not that many.\u201d<\/span><\/p>\n

Cohere\u2019s differentiator, <\/span>Sengottuvelu<\/span> said, is its ability to generate content for \u201ceven very infrequent questions\u201d and for \u201ccomplex enterprises with complex products such as Ramp.\u201d<\/span><\/p>\n

Specifically, he added, Cohere\u2019s automation product uses existing help center and ticket data<\/span> to create workflows and pinpoint areas for improvement in self-service systems. Cohere also provides \u201ccomprehensive\u201d performance metrics, giving businesses insights into the effectiveness of their self-service in different product categories.<\/span><\/p>\n