AI and ML Based Machine Scoring and Quality Management
With SuccessKPI, Comunikime was able to measure performance across 100% of calls at one percent of the previous cost of operation and gained new insights from the robust analytics layer.
Previous Cost of Operation
Comunikime is a global systems integrator responsible for helping large organizations operate IVR, ACD, RPA, and telecommunications platforms at scale.
Operating in Latin America, Comunikime has enterprise clients with tri-lingual applications (Portuguese, Spanish, and English), however, their Portuguese and Spanish-speaking clients have struggled with low transcription success of legacy applications. With poor transcription rates from a previous platform, clients were required to score calls manually with quality managers.
SuccessKPI deployed a cloud-based SaaS application in the Amazon Cloud, which enabled access to this platform from new cloud deployments on platforms such as Genesys Cloud and with dozens of legacy ACD applications such as on the Aspect Software platform in one unified operating environment. Furthermore, SuccessKPI unlocked topic detection, theme detection, machine scoring, integrated analytics, and performance management presentations. This solution achieved nearly 90% transcription accuracy, brought new sentiment analytics, and advanced topic detention and correlation. Finally, the quality management tool enabled calibration of results with manual scores completed by supervisors operating in the evaluations area of the SuccessKPI tool. Machine learning technology learned from human scores to provide score performance comparable to humans.
With SuccessKPI, Comunikime was able to analyze customer data, enable AI and Machine Learning tools, deliver POCs, and deploy solutions to crucial business performance projects securely in the cloud. Comunikime is able to measure performance across 100% of calls at one percent of the previous cost of operation and gained new insights from the robust analytics layer.
“SuccessKPI enables us to achieve extraordinary levels of transcription accuracy. Their machine learning and automation tools allow us to deploy applications and POCs in a fraction of the time required by previous platforms.”
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