SuccessKPI Inc., an enterprise AI Analytics & Automation company, has unveiled its Artificial Intelligence (AI) Capabilities portfolio and AI roadmap for future development. Its newest additions are AI Scoring based on generative AI large language models and AI-based traffic forecasting designed to drive the field of customer experience and employee optimization to the next level.
These new capabilities, or use cases, build on a current feature set that already includes topic and sentiment detection using AI/ML to find key moments and sentiments in the user’s choice of language and communications channels, intent phrase recommendations and the AI powered “reason detection” for customer conversations. The AI platform summarizes conversations automatically to drive agent efficiency in documenting customer contacts.
“SuccessKPI has built an ambitious and achievable roadmap for our AI portfolio that will expand as the underlying technology advances in exciting new directions,” said David Rennyson, CEO of SuccessKPI. “Whether the goal is to raise agent performance, improve the customer experience (CX), or streamline CX costs, we will design and deploy AI responsibly so operators, agents and their customers all benefit while keeping consumer data safe and secure.”
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- AI Scoring – 100% of customer calls are scored with this use case. The AI/ML technology predicts the outcome of each question a customer asks, enabling supervisors to move faster and more accurately toward evaluating agent calls and provide feedback and coaching inputs. This clearly improves the customer experience by helping agents improve through guided coaching and training. It also helps identify any regulatory and compliance gaps that may arise during conversations and provide agent coaching after the fact or in the moment.
- AI Traffic Forecasting – This capability predicts customer interaction volume and staffing needed, factoring in the contact center operator’s desired service levels, shrinkage, occupancy target and staffing characteristics using AI/ML forecasting algorithms. Schedules are then generated from staffing forecasts that account for experience, availability and working hour preferences of individual agents.
“SuccessKPI was able to offer us the machine learning and the AI technology that it takes to audit 100% of calls,” said Sara Connolly of BYL Companies, a SuccessKPI customer.
Together, along with the roadmap for 2024, these AI-powered features make SuccessKPI an early leader in applying artificial intelligence to contact center performance optimization and cloud migration.
In the coming months, SuccessKPI plans to introduce a full range of generative AI capabilities that will help diagnose true customer intentions behind the topics and words they use as well as intelligently recap customer interactions to streamline contact center agent work and increase productivity.
SOURCE: PRNewswire
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