Dashbot, a conversational AI and data platform, has announced the launch of its proprietary Conversational Data Cloud, letting customers build and optimize their chatbots from their businesses’ own conversational data.
Dashbot’s Conversational Data Cloud turns unstructured, noisy, inter-related and often tangled conversational data into immediate action.
Over 50% of chatbot sessions fail. Optimizing existing bots can reduce failure rate by up to 35% and reduce escalation rate by up to 57%.
“We’re expanding beyond reporting and analytics to be able to ingest raw conversational data which can be difficult, but also very valuable for our customers,” said Andrew Hong, CEO of Dashbot.
“We’re on a mission to decipher language, which is one of the most complex types of data that has ever existed. We listened to our customers that are challenged to make sense of all their conversational data, so we built our Conversational Data Cloud to help businesses automate, analyze and optimize their conversation channels.”
Dashbot’s Conversational Data Cloud enables businesses to:
- Centralize all conversational data including chatbot transcripts, Zendesk, email and live agent voice calls.
- Decipher tens of thousands of daily conversations and transcripts.
- Group similar messages and topics to determine areas of failure and opportunities for new use cases, leveraging its proprietary Machine Learning algorithms.