Artificial Intelligence and Predictive Analytics is an advanced form of analytics that uses large amounts of historical data in order to predict future behaviors. For example, we can predict customer demand cycles for the future, based on their past behaviors. This allows you to know what your customers want before they do.
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Using R and Python with AI modelling we develop these assets as a platform to enable proactive customer communication, or proactive customer service strategies for top brands. Genii Predict leverages state of the art, high performing computing platforms to enable the machine learning process. We employ and contract Senior Mathematicians and Statistical Engineers to develop and maintain these predictive assets.
The insights from Predictive assets are typically used to forecast future probabilities. Applied to business, predictive assets are applied to analyse current data and historical facts in order to better understand customers, products and partners. It is further applied to identify potential risks and opportunities for a company. It uses a number of techniques including data mining, statistical modelling and machine learning to help analysts make future business forecasts.
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Current voice analytic platforms Indicate post-call sentiment, call reasons and other KPI’s after a call, Quantum leverage those indicators, combine it with customer data, and predict future customer demands, contacts and churn
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Genii Predict is a state of the art system. It is geared to providing access to historical and current information which can start to identify behaviour, opportunities, insights and other actionable information.
Imagine being able to predict which customers are going to contact you, for what reasons, and when. Which customers are going to churn, and who will buy what, before they do.
Our Models
NEXT CUSTOMER CONTACT PREDCITION
Predict who and why a customer will contact you– 30 days in advance
CUSTOMER CHURN PREDICTION MODEL
Predict which customers are highly likely to churn. The reasons they will churn, to save them from churning
REPEAT PREDICTION
Do immediate post call analytics to determine the likelihood of a repeat call occurring and how to proactively avoid it
NET PROMOTER SCORE PREDICTION
Predict the level of satisfaction associated with the call using the NPS prediction model and offer solutions to improve NPS
ARTIFICIAL INTELLIGENCE
Predict which customers will contact you, why they will contact you, and when they will contact you 30 days in advance. Predict Churn risk, customer service demand, sentinment (NPS) and Repeats
VOICE ANALYTICS PLATFORM AGNOSTIC
Genii Predict connect to any leading voice analytics platform such as GIA, CallMiner, Nexidia or Verint to predict futurre customer behaviours
Predict Benefits
Outputs of the Predictive models enable a brand to design campaigns which target specific outcomes.
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Proactively communicate with customers
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Improve CX
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Reduction contact volumes (1st & Repeats)
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Improve KPIs (FCR, FOC, TNPS, AHT)
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Proactive/Automated Care & Bots based on outputs
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Target self service opportunity
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Digital Channel deflection
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More accurate WFM & resourcing
Genii Ai Predictive Models integrate with all major voice/interaction analytics platforms
Quantum Predict – Data Flow
